phd mathematical finance canada

School of Graduate Studies

Mathematical finance, program overview.

In the 12-month Master of Mathematical Finance (MMF) program , students’ superior math skills are focused on the tools of financial mathematics for an initial four-month period. Students then move immediately into an internship with a firm. Afterwards, students will continue their coursework for the remainder of the school year.

Quick Facts

Master of mathematical finance, program description.

In the MMF program, students reshape their existing analytical abilities with the help of senior academics in mathematics, computer science, statistics, and engineering who have experience with the tools of mathematical finance. This cross-disciplinary approach develops graduates with a richer, more innovative approach to applied mathematics in real-world situations. Some of the faculty are seasoned practitioners from the financial industry while others are from leading firms in the financial software industry, developing applications around requirements like risk management, portfolio analysis, and the pricing of advanced derivatives.

The heart of the program is the four-month internship or campus project. Working on real financial projects, students learn to integrate and apply theoretical knowledge gained earlier in the program. In the internship, students team up with employees of the sponsoring firm to experience how financial mathematics impacts the decision-making processes of a financial services organization.

Minimum Admission Requirements

Applicants are admitted under the General Regulations of the School of Graduate Studies. Applicants must also satisfy the graduate unit's additional admission requirements stated below.

Applicants must have an appropriate bachelor's degree in a quantitative, technical discipline with a minimum of a mid-B standing in the final two years.

Applicants whose primary language is not English and who graduated from a university where the language of instruction was not English must demonstrate proficiency in the English language through the successful completion of the Test of English as a Foreign Language (TOEFL) with minimum scores as follows:

paper-based TOEFL exam: 580 and 5 on the Test of Written English (TWE)

Internet-based TOEFL exam: 93/120 and 22/30 on the writing and speaking sections

Applicants must also show evidence of strong mathematical ability. Appropriate workplace experience will be considered in lieu of formal education.

Admission to the program is competitive. Those accepted into the program will normally have achieved a standing considerably higher than the minimum mid-B standing or have demonstrated exceptional ability through appropriate workplace experience.

Applicants must satisfy the Admissions Committee of their ability to do rigorous quantitative analysis at an advanced level. The broad background required for this program makes it likely that many strong applicants will not possess all the background requirements. It is expected that applicants will have extra depth in certain areas and need to do additional work in others. Admission may be conditional upon the applicant's satisfactory completion of the required background material.

Applicants should submit a written statement of approximately 300 words outlining their objectives for entering the program. Applicants should also explain how their background is appropriate. An interview may be required.

Inquiries about part-time options for the program should be addressed to the Program Director.

Program Requirements

The program of study begins in mid-August and includes a four-month internship during the second session. Students will be responsible for obtaining their own internship. In cases where the student is taking a leave of absence from an appropriate job, it is expected that the student will return to this job for the internship. In all cases, the Director must approve the placement.

Students will proceed through the program as a group, following a common course of study. The course of study will be fully integrated and computer-laboratory intensive. Course projects and assignments will be designed to integrate the material learned from a variety of the courses and to utilize it in a practical context. Excellent communication and presentation skills will be emphasized in both the oral and written components of the projects.

Students must complete all required courses listed below.

Program Length

3 sessions full-time (typical registration sequence: F/W/S)

3 years full-time

Main navigation

Undergraduate Programs
Bachelor of Commerce
MBA Programs
MM in Analytics
MM in Finance
MM in Retailing
Global Manufacturing and Supply Chain Management
Graduate Certificate in Healthcare Management
Graduate Certificate in Professional Accounting
McGill-HEC Montréal Executive MBA
McGill Executive Institute
International Masters for Health Leadership
International Masters Program for Managers
PhD in Management
McGill Personal Finance Essentials
McGill Dobson Centre for Entrepreneurship
Career Management
Marcel Desautels Institute for Integrated Management (MDIIM)
Equity, Diversity and Inclusion (EDI)
Laidley Centre for Business Ethics and Equity (LCBEE)
Sustainability
Sustainable Growth Initiative (SGI)
Entrepreneurship & Innovation Initiative (E&I)
Managing Disruption: Analytics, Advanced Digital Technologies and AI (AAAI)
Information Systems
Operations Management
Organizational Behaviour
Retail Management
Strategy & Organization
Our Students

Addressing current issues confronting organizations and investors operating in today’s rapidly changing financial environment.

The PhD specialization in Finance at McGill prepares students for research-oriented academic careers. While students from all backgrounds are encouraged to apply, the typical student holds an undergraduate or a master's degree in economics, finance, mathematics, statistics, computer science, engineering or physics.

The program is normally completed in five years. The first two years in the program are devoted primarily to taking courses in finance, as well as supporting disciplines (economics, mathematics and econometrics/statistics). After the first two years, students enter the dissertation phase of the program. For details on the Finance Area, research domains, publications and working papers, visit the Desmarais Global Finance Research Centre website.

Numerous required and elective doctoral courses are offered by the McGill Finance Faculty, including:

Financial Economics
Corporate Finance
Empirical Methods in Finance
Continuous-Time Finance
International Finance
Fixed Income Securities Theory
Corporate Governance

Faculty and Research

The McGill Finance area includes fourteen faculty members who regularly publish in the top finance journals. The moderate size of the program (currently we have 13 Ph.D. students in residence) make it possible for the students to closely interact with the faculty and to benefit from personalized attention and support. Because the faculty's interests span a wide spectrum of specialized fields in finance, students enjoy a lot of freedom in the choice of their dissertation topic.

Finance members

Department and university information, desautels faculty of management mcgill university.

Bachelor of Commerce (BCom)
Master of Management in Analytics (MMA)
Master of Management in Finance (MMF)
Master of Management in Retailing (MMR)
Global Manufacturing and Supply Chain Management Program (GMSCM)
Graduate Certificate in Healthcare Management (GCHM)
Graduate Certificate in Professional Accounting (GCPA Program)
Executive MBA
McGill Executive Institute (MEI)
International Masters for Health Leadership (IMHL)
International Masters Program for Managers (IMPM)
Desautels at a Glance
Marcel Desautels
Administration & Governance
Desautels Strategic Plan 2025
Equity, Diversity and Inclusion
Academic Integrity
International Advisory Board
Desautels Global Experts
Delve Thought Leadership
Search the Desautels directory
Areas of specialization
Desautels 22: Top-tier Publications
Research publications
Research centres
McGill Centre for the Convergence of Health and Economics (MCCHE)
Desautels alumni
Get involved
Support Desautels
News and social
Desautels Stories
DesautelsConnect on 10KC
Working at Desautels
Student Hub
Casual payroll

Study and Work in Mathematical Finance in Canada

Graduate Mathematical Finance Admission Requirements The prequisites required to become accepted in an graduate and/or post-graduate PhD program in Mathematical Finance.

What Mathematical Finance Students Learn Topics and concepts that are covered and the overall approach or focus taken in studying Mathematical Finance.

Research in Mathematical Finance Research areas, topics, interests projects in Mathematical Finance.

Career and Employment Opportunities in Mathematical Finance Professions or occupations available to graduates in Mathematical Finance and links to employment resources.

My UCalgary
Class Schedule
UCalgary Directory
Continuing Education
Active Living
Academic Calendar
UCalgary Maps
Close Faculty Websites List Viewing: Faculty Websites
Cumming School of Medicine
Faculty of Arts
Faculty of Graduate Studies
Faculty of Kinesiology
Faculty of Law
Faculty of Nursing
Faculty of Nursing (Qatar)
Faculty of Science
Faculty of Social Work
Faculty of Veterinary Medicine
Haskayne School of Business
School of Architecture, Planning and Landscape
School of Public Policy
Schulich School of Engineering
Werklund School of Education
Future Students
Combined Degrees
Change of Program
Concentrations
Fees and Finances
Program Advising
New to U of C?
Incoming Students
Testimonials
Master of Management
Is MMgmt right for you?
Career development
Experiential learning
Dual degrees
Tuition and scholarships
MBA programs
Daytime MBA
Is the Daytime MBA right for you?
Specialization options
Career outcomes
Information for international students
Tuition and funding
Evening MBA
Is the Evening MBA right for you?
Accelerated MBA
Is the Accelerated MBA right for you?
Combined MBA
Executive MBA
Is the Haskayne EMBA right for you?
Tuition and Funding
Specialized Programs
MSc Sustainable Energy Development
Diploma in Data Science and Analytics
Program Information
Academic Curriculum
Business Analytics Faculty
Embedded Certificates
Entrepreneurial Thinking
Leadership Studies
Post-Graduate Certificates
Business Intelligence and Data Analytics
Management Analytics
Doctoral Programs
PhD Supervisors
PhD Students by area
Professional Programs
Executive Education
Programs for Individuals
Programs for Organizations
Programs for Board Directors
Real Estate Programs
Pre-Licensing Courses
Real Estate Development Leadership Certificate
UCalgary NoCode Professional Education Program
Programs for researchers
Staff Directory
Registration FAQs
Current Students
Undergraduate
Academic Information
Registration
BComm Honours Program
Deferral of Term Work and Exams
Letter of Permission
Grade Reappraisals and Appeals
External Links
Final Exams
Important Dates
Wellness Resources
Dean's List
Student Resources
Business Library
Scholarships Awards
Tuition Information
Academic Turnaround
Syndicate Room Bookings
Student Experience
Co-operative Education
Student Experience Fund
Marker/Proctor opportunities
Case Competitions
Student Clubs
International Exchange
Outgoing Students
Semester at Sea
International Exchange Development Partners
Convocation
Specialization

Specializations

Candidacy Requirements
International exchange
Mitacs Business Strategy Internship (MBSI) - Partner information
Career Development Centre
Student Services
Employer Services
Faculty/Staff Services
Myths vs Facts & FAQs
Haskayne Connects
Research and Faculty
Academic Areas

Business Technology Management

Entrepreneurship and innovation, operations and supply chain management.

Organizational Behaviour and Human Resources

Risk Management and Insurance

Strategy and Global Management
Academic Tools & Support
Research Info Centre on D2L
Qualtrics Online Survey
Teaching and Learning
Teaching and Learning Fellowships
Teaching Development and Initiatives
Staff and faculty recognition
Dean's Awards
Golden Bull Award
Canadian Centre for Advanced Leadership in Business (CCAL)
Centre for Corporate Sustainability (CCS)
Centre for Entrepreneurship and Innovation
Centre for Excellence in Professional Accounting (CEPA)
Creative Destruction Lab - Rockies
Global Business Futures Initiative (GBFI)
Informatics Research Centre (iRC)
Trico Foundation Social Entrepreneurship Centre
Westman Centre for Real Estate Studies
Communities & Networks
Alumni Benefits & Services
Haskayne Alumni Awards
Grow Your Career
Get Involved
Mathison Hall
Work-integrated learning
Scholarships
Ways to Give
Haskayne Founders' Circle
Signature Events
Inspiring Business Leader Award
2024 Recipient
Previous Recipients
Sponsorship
Nominations
Scholarship
Next Up: The W. David Duckett Speaker Series
PETRONAS International Energy Speaker Series
Support student career development
Get student consulting
Hire a student
Become a mentor
Become a panel member
At a Glance
Richard F. Haskayne
Publications
Strategic Vision
Haskayne 2025 Strategic Plan
Learning Goals and Objectives
Principles for Responsible Management Education (PRME)
Leadership Team
Senior Leadership Team
Advisory Councils
Equity, Diversity, Inclusion and Indigenization
Strategy - Goals & Progress
Haskayne Directory
Location and Spaces
Scurfield Hall
Nu West Commons TV Screens
Student Club Event Planning
Haskayne Room Bookings
Faculty & Staff Room Booking
Student Club Room Booking
External Room Booking
Mathison Hall Event Centre Booking

Haskayne PhD

Generous Funding Package

Our funding package is one the most generous among the Canadian business schools. We pay full tuition to all students admitted. We provide in excess of $120,000 over four years plus partial funding in year 5 to all incoming PhD students. We also support each student’s participation and attendance at academic conferences (subject to approval) to encourage presenting research and building networks.

The main mission of the PhD program in Accounting at the Haskayne School of Business, University of Calgary, is to prepare prospective faculty members for positions at reputable business schools in Canada and around the world. Our graduates teach and research in schools such as American University of Cairo, Concordia University, Mount Royal University, University of Ottawa, Royal Roads University. University of Texas-Pan American and York University.

Some of the factors that make our graduates successful include a rigorous admission process, training in core business, accounting, and statistics. In addition to five core seminars in business and research methodology, our students are required to complete four seminars in accounting research, one seminar in a minor area (Corporate Sustainability and Finance are popular choices) and two statistics courses. For their seminar courses students are required to take Managerial Accounting Seminar, Financial Accounting Seminar, and Paradigms, Issues, and Methods. They may choose from other optional courses including Evaluating Environmental Performance, Tax, Advanced Financial, and Advanced Managerial or other Special Topics (as a directed study). Additionally, the Accounting Area holds a regular series of research presentations by our faculty members and well-known researchers from other universities, as part of or independently of these courses. With help from their professors, PhD students undertake their own research project through a summer research program at the end of their first year, which may be further developed for conference presentation and/or expanded into dissertation research. PhD students are frequently provided with opportunities to work with professors on accounting research projects.

Financial aid is available to some of our students through the Chartered Accountants Education Foundation, and the Certified Management Accountants. Please view their websites for specific requirements for applying. PhD students, along with professors, can apply for small amounts of funding to support research projects through the Certified Management Accountants and Certified General Accountants internal research competitions. Other competitive awards that may be of interest to support research are the Peter Valentine Corporate Governance Award and the Enbridge Corporate Sustainability Award Doctoral Scholarship, if doing research on these topics.

When ready, students are encouraged to attend and present papers at the Canadian Academic Accounting Association (CAAA), the American Accounting Association (AAA), the European Accounting Association (EAA), and the Administrative Sciences Association of Canada (ASAC). Students can also attend the Contemporary Accounting Research (CAR) conference as a PhD participant. Other conferences of regional or special interest, depending on the student’s area of research, may also be encouraged. There are also a number of PhD doctoral consortiums that can be attended.

PhD students are free to select their own topic of interest for their dissertation research; however, most students choose a topic of interest they may share with one of the accounting professors. Some topics that have been investigated in the past include international accounting, capital markets, intellectual capital, public sector accounting, managerial performance systems, and corporate sustainability. Methods include experimental, events studies using archival data, case studies, empirical analysis, and others. Both qualitative and quantitative methods are used as well. Our graduates publish in such quality journals as Journal of Accounting Research (JAR), Contemporary Accounting Research (CAR), Accounting, Organization and Society (AOS), and Journal of Business Ethics. Many of our graduates serve as associate editors or in the editorial boards of reputable journals.

Area chair: Dr. Mark Anderson , Associate Professor

The Ph.D. Program in Management Information Systems (MIS), which also goes under the name Business Technology Management (BTM), at the Haskayne School of Business (HSB) is a research-based program designed to prepare candidates to become strong scholars at universities and other research-based institutions.

The focus of the Ph.D. program in MIS/BTM at HSB is on the economics of information systems, otherwise known as the “econ of IS”, and related areas. The course work, which covers about two years, is designed to prepare the candidates in economics, econometrics, research methods, quantitative methods, and state-of-the-art research in the econ of IS.

Active participation in research with one or more faculty members begins no later than the first summer. All research faculty in MIS/BTM have one or more publications in the field’s top journals, and this provides a strong basis for guidance and future prospects.

Recent research areas include:

Productivity impacts of Information technology (IT)
E-commerce and channels of distribution
Electronic retailing
Platform-mediated networks
Online data and reputations
Economics of user-generated content
Business process reengineering
IT outsourcing
Adaptive control in scheduling
Price quotation in supply chains
IT and organizational design
IT applications in healthcare

Area chair: Dr. Raymond A. Patterson , Professor

Researchers:

Dr. Barrie R. Nault
Dr. Ray Patterson
Dr. Hooman Hidaji
Dr. Duy Dao
Dr. Jian (Ray) Zhang

The Haskayne PhD in Entrepreneurship and Innovation offers students an opportunity to work with faculty who are committed to excellence in theoretical foundations and a variety of research methodologies, preparing them for academic careers.

Entrepreneurship and Innovation (ENTI) is an interdisciplinary domain that focuses on the activities, people and context involved in initiating, developing, and maintaining an enterprise or innovation. Among topics of interest are new venture opportunities, strategies, and resources; entrepreneurship ecosystems; the owner-manager; the relationship between entrepreneurship and economic development; family business; crowdfunding; start-up governance; social entrepreneurship; intrapreneurship; and international entrepreneurship and policy.

In addition, because entrepreneurship often involves technological innovations, the specialization includes scholarship and dialogue on the management of innovation and technological change, technology strategy, technology-based entrepreneurship, and the commercialization of scientific research.

We encourage students to examine the questions of the field from multiple perspectives and draw upon a wide range of foundational disciplines, including economics, mathematics, philosophy, psychology, and sociology.

Area chair: Dr. Olga Petricevic , Associate Professor

The PhD program in Finance at the Haskayne School of Business is a technical, rigorous, academic program designed to prepare you for a career as a researcher and scholar. You will get a solid education in the mainstreams of finance research and be trained in the professional skills that are necessary to pursue a successful career in academia. The program is intense and requires a lot of dedication and a positive work attitude. Our faculty will work with students in all major areas of finance research including: corporate finance, asset pricing, banking, corporate governance, mathematical finance, and entrepreneurship. You will work with your advisor to select finance courses that will optimally prepare you for your chosen field of study. To augment the finance courses, students are often encouraged to take classes from mathematics and/or economics. Please visit our University of Calgary Calendar for a description of available courses and prerequisites.

Area chair: Dr. Kyoung Jin Choi , Associate Professor

Organizational Behaviour and Human Resources | Strategy & Global Management

The doctoral programs in SGMA and OBHR are closely aligned, and encourage students to adopt multi-disciplinary and multi-methodology approaches in their research.

The key question to be answered in any SGMA or OBHR thesis is always: how to increase the effectiveness and/or efficiency of a managerial practice with a view to contribute to the firm’s competitive advantage?

There is considerable flexibility in choosing the thesis subject, i.e., the selected managerial practice’s nature and scope. Such practice may be observable at the level of the individual decision-maker, a team, a sub-unit within the firm, the firm, a strategic alliance or even an industry.

Answering the key question in a SGMA or OBHR dissertation must build on solid conceptual foundations and take advantage of state-of-the-art empirical methodologies, both in the quantitative and qualitative sphere.

Students are encouraged to adopt an integrative approach, drawing conceptual insight from foundational disciplines such as applied psychology, micro-economics (especially the law, economics and organization branch of micro-economics) and other complementary disciplines with proven potential to answer in a rigorous fashion the key question considered.

The focus should be on gaining an in-depth understanding of the practice at hand in terms of its strengths (or benefits) and weaknesses (or costs), and on developing or evaluating a set of actionable paths towards improving the practice.

For example, work on non-market strategies of firms may require delving into political science, the institutional-theory strand of sociology, and law. As another example, work on designing effective human resources management practices in multinational enterprises may require a serious grounding in conceptual frameworks related to societal culture and organizational behaviour, and deep knowledge of the modern economics-based theory of the multinational enterprise.

All SGMA and OBHR students will be expected to master advanced statistics as used in the leading management journals (such as the Academy of Management Journal), and have an equivalent command of qualitative research methods .

The SGMA and OBHR doctoral programs will provide the PhD students with the multi-disciplinary and multi-methodology training required to examine issues of managerial effectiveness and efficiency in a large variety of organizational settings.

Students will be supervised by a select group of Haskayne faculty members, who have published in leading academic journals and whose expectation is that each thesis will consist of a set of high quality essays publishable in refereed journals. These faculty members have a history of co-publishing with their students on a wide variety of topics, ranging from the determinants of job satisfaction, to meta-analyses on a wide variety of organizational phenomena, and the strategy and structure of the world’s largest companies. Take a look at the SGMA and OBHR faculty members’ research records to see if there is an overlap in interests.

OBHR Area chair: Dr. Nick Turner , Professor, Distinguished Research Chair, ABL

SGMA Area chair: Dr. Pengfei Li , Associate Professor

The Haskayne School of Business (HSB) doctoral degree in Marketing is a rigorous, research-based academic program designed to prepare you for a career as a marketing scholar. This program is intensive and the expectations are high. At graduation, you will have developed a solid theoretical foundation and strong analytical skills to prepare you for a career in university teaching and research.

All HSB doctoral students are paired with a supervisor from the first day, and you will have opportunities very early in your program to develop close working relationships with faculty members as you become involved in faculty-led research projects (generally toward the end of your first year). These research projects reflect our faculty’s research interests, which are varied and include:

Consumer Behaviour
Decision Making
Product Management/New Product Development
Relationship Marketing
Ethics/Social Responsibility
Sustainability
International & Global Marketing
Services Marketing
Cross-Cultural Marketing Research
Methodological Issues

Marketing is an interdisciplinary field that draws theories and methodologies from a number of founding disciplines, including economics, psychology, sociology, strategy, and statistics. Depending on your research interests, you will be encouraged to take courses in the foundational disciplines to complement your marketing training. You will also be encouraged to take several courses in statistics and quantitative methods. Please visit our University of Calgary Calendar for a description of available courses and prerequisites.

Area chair: Dr. Scott Radford , Associate Professor

As a doctoral student in the Operations and Supply Chain Management (OSCM) area, you will have the opportunity to work closely with faculty members who are dedicated to excellence in both research and teaching. Two particular research strengths of our faculty are:

Health care operations management, specifically health care delivery optimization through addressing problems of access to care and quality/safety, employing quantitative tools as well as qualitative and empirical studies of health services, and
Supply chain management, encompassing all aspects, from operations strategy – maximizing responsiveness through flexibility, collaboration and logistics – through supply chain network design, including facility layout and location.

Coursework will be tailored to individual interests but will include a series of seminars to provide in-depth knowledge of research in operations management and exposure to a variety of management science techniques.

Area chair: Dr. Osman Alp , Professor

The Haskayne School of Business (HSB) doctoral degree in Risk Management and Insurance is a rigorous, research-based academic program. This program is intensive and the expectations are high. At graduation, you will have developed a solid theoretical foundation and strong analytical skills to prepare you for a career in university teaching and research.

Enterprise risk management
Corporate governance
Disaster resilience
Distribution systems in insurance
Merger and acquisition activity in the insurance industry
Competitiveness and efficiency of the insurance industry
Tort versus no-fault liability systems
Public policy issues surrounding social insurance systems and pensions
Risk communication

Risk management and insurance are interdisciplinary fields that draw theory and methodologies from a number of founding disciplines, including economics, law, psychology, and statistics. Depending on your research interests, you will be encouraged to take courses in the foundational disciplines to complement your marketing training. You will also be encouraged to take courses in both qualitative and quantitative methods. Please visit our University of Calgary Calendar for a description of available courses and prerequisites.

Please note: Applicants interested in financial risk management should visit the page for FINANCE.

Area chair: Dr. Anne Kleffner , Professor

Cross-Disciplinary Programs

The business school supports the efforts of students wishing to combine a doctoral program in management with doctoral studies in another discipline. These joint programs are individually tailored to meet student interests and needs. Students in cross-disciplinary programs must be highly qualified because it is difficult to meet the standards of two specializations.

Interested in learning more?

If you are interested in learning more about the Haskayne PhD program, application requirements and deadlines, please contact us.

Doctor of Philosophy in Mathematics (PhD)
Graduate School
Prospective Students
Graduate Degree Programs

Canadian Immigration Updates

Applicants to Master’s and Doctoral degrees are not affected by the recently announced cap on study permits. Review more details

Go to programs search

Mathematicians use theoretical and computational methods to solve a wide range of problems from the most abstract to the very applied. UBC's mathematics graduate students work in many branches of pure and applied mathematics. The PhD program trains students to operate as research mathematicians. The focus of the program is on substantial mathematical research leading to the PhD dissertation. Students also develop their skills in presenting and teaching mathematics and its applications.

For specific program requirements, please refer to the departmental program website

What makes the program unique?

UBC has one of the largest and most vigorous departments of mathematics in Canada. Our faculty routinely win national and international awards for their research and teaching achievements. We have an engaged and sociable cohort of graduate students who are essential members of a broad selection of active research groups. Each group holds a variety of seminars and events that allow graduate students, postdoctoral fellows, visitors and faculty to enjoy regular interaction.

UBC is the headquarters for the Pacific Institute of Mathematical Sciences (PIMS). PIMS hosts a plethora of mathematical events such as conferences and summer schools, greatly enriching the scientific environment in the quantitative sciences at UBC. Our mathematics students are also regular participants at the nearby Banff International Research Station for Mathematical Innovation and Discovery. Finally, our Institute for Applied Mathematics provides options for interdisciplinary studies for PhD students who wish to work in applied and computational mathematics.

I chose UBC because of the reputation of the university and mathematics department, the alignment of my research interests with my advisor’s expertise, and my love for Canada!

Ethan White

Quick Facts

Program enquiries, admission information & requirements, 1) check eligibility, minimum academic requirements.

The Faculty of Graduate and Postdoctoral Studies establishes the minimum admission requirements common to all applicants, usually a minimum overall average in the B+ range (76% at UBC). The graduate program that you are applying to may have additional requirements. Please review the specific requirements for applicants with credentials from institutions in:

Canada or the United States
International countries other than the United States

Each program may set higher academic minimum requirements. Please review the program website carefully to understand the program requirements. Meeting the minimum requirements does not guarantee admission as it is a competitive process.

English Language Test

Applicants from a university outside Canada in which English is not the primary language of instruction must provide results of an English language proficiency examination as part of their application. Tests must have been taken within the last 24 months at the time of submission of your application.

Minimum requirements for the two most common English language proficiency tests to apply to this program are listed below:

TOEFL: Test of English as a Foreign Language - internet-based

Overall score requirement : 100

IELTS: International English Language Testing System

Overall score requirement : 7.0

Other Test Scores

Some programs require additional test scores such as the Graduate Record Examination (GRE) or the Graduate Management Test (GMAT). The requirements for this program are:

The GRE is not required.

2) Meet Deadlines

3) prepare application, transcripts.

All applicants have to submit transcripts from all past post-secondary study. Document submission requirements depend on whether your institution of study is within Canada or outside of Canada.

Letters of Reference

A minimum of three references are required for application to graduate programs at UBC. References should be requested from individuals who are prepared to provide a report on your academic ability and qualifications.

Statement of Interest

Many programs require a statement of interest , sometimes called a "statement of intent", "description of research interests" or something similar.

Supervision

Students in research-based programs usually require a faculty member to function as their thesis supervisor. Please follow the instructions provided by each program whether applicants should contact faculty members.

Instructions regarding thesis supervisor contact for Doctor of Philosophy in Mathematics (PhD)

Citizenship verification.

Permanent Residents of Canada must provide a clear photocopy of both sides of the Permanent Resident card.

4) Apply Online

All applicants must complete an online application form and pay the application fee to be considered for admission to UBC.

Tuition & Financial Support

Financial support.

Applicants to UBC have access to a variety of funding options, including merit-based (i.e. based on your academic performance) and need-based (i.e. based on your financial situation) opportunities.

Program Funding Packages

All full-time students who begin a UBC-Vancouver PhD Mathematics program in September 2018 or later will be provided with a funding package of at least $24,256 for each of the first four years of their PhD. The funding package may consist of any combination of internal or external awards, teaching-related work, research assistantships, and graduate academic assistantships.

Average Funding

52 students received Teaching Assistantships. Average TA funding based on 52 students was $13,784.
48 students received Research Assistantships. Average RA funding based on 48 students was $11,580.
3 students received Academic Assistantships. Average AA funding based on 3 students was $1,814.
54 students received internal awards. Average internal award funding based on 54 students was $13,279.
4 students received external awards. Average external award funding based on 4 students was $27,083.

Scholarships & awards (merit-based funding)

All applicants are encouraged to review the awards listing to identify potential opportunities to fund their graduate education. The database lists merit-based scholarships and awards and allows for filtering by various criteria, such as domestic vs. international or degree level.

Graduate Research Assistantships (GRA)

Many professors are able to provide Research Assistantships (GRA) from their research grants to support full-time graduate students studying under their supervision. The duties constitute part of the student's graduate degree requirements. A Graduate Research Assistantship is considered a form of fellowship for a period of graduate study and is therefore not covered by a collective agreement. Stipends vary widely, and are dependent on the field of study and the type of research grant from which the assistantship is being funded.

Graduate Teaching Assistantships (GTA)

Graduate programs may have Teaching Assistantships available for registered full-time graduate students. Full teaching assistantships involve 12 hours work per week in preparation, lecturing, or laboratory instruction although many graduate programs offer partial TA appointments at less than 12 hours per week. Teaching assistantship rates are set by collective bargaining between the University and the Teaching Assistants' Union .

Graduate Academic Assistantships (GAA)

Academic Assistantships are employment opportunities to perform work that is relevant to the university or to an individual faculty member, but not to support the student’s graduate research and thesis. Wages are considered regular earnings and when paid monthly, include vacation pay.

Financial aid (need-based funding)

Canadian and US applicants may qualify for governmental loans to finance their studies. Please review eligibility and types of loans .

All students may be able to access private sector or bank loans.

Foreign government scholarships

Many foreign governments provide support to their citizens in pursuing education abroad. International applicants should check the various governmental resources in their home country, such as the Department of Education, for available scholarships.

Working while studying

The possibility to pursue work to supplement income may depend on the demands the program has on students. It should be carefully weighed if work leads to prolonged program durations or whether work placements can be meaningfully embedded into a program.

International students enrolled as full-time students with a valid study permit can work on campus for unlimited hours and work off-campus for no more than 20 hours a week.

A good starting point to explore student jobs is the UBC Work Learn program or a Co-Op placement .

Tax credits and RRSP withdrawals

Students with taxable income in Canada may be able to claim federal or provincial tax credits.

Canadian residents with RRSP accounts may be able to use the Lifelong Learning Plan (LLP) which allows students to withdraw amounts from their registered retirement savings plan (RRSPs) to finance full-time training or education for themselves or their partner.

Please review Filing taxes in Canada on the student services website for more information.

Cost Estimator

Applicants have access to the cost estimator to develop a financial plan that takes into account various income sources and expenses.

Career Outcomes

88 students graduated between 2005 and 2013: 1 is in a non-salaried situation; for 19 we have no data (based on research conducted between Feb-May 2016). For the remaining 68 graduates:

$phd mathematical finance canada$

Sample Employers in Higher Education

Sample employers outside higher education, sample job titles outside higher education, phd career outcome survey, career options.

A great majority of our PhD graduates move on to postdoctoral fellowships and faculty positions at universities and research institutes in North America and around the world. However, a significant fraction of students move into careers in industry. Students considering non-academic careers are encouraged to complete an industrial internship (for instance through the Mitacs Accelerate program - headquartered at UBC) during their studies.

Enrolment, Duration & Other Stats

These statistics show data for the Doctor of Philosophy in Mathematics (PhD). Data are separated for each degree program combination. You may view data for other degree options in the respective program profile.

ENROLMENT DATA

Completion rates & times, upcoming doctoral exams, monday, 27 may 2024 - 12:30pm - room 203, thursday, 30 may 2024 - 10:00am - 203, mathematics building, 1984 mathematics road, friday, 5 july 2024 - 9:00am - room 200.

Research Supervisors

Advice and insights from UBC Faculty on reaching out to supervisors

These videos contain some general advice from faculty across UBC on finding and reaching out to a supervisor. They are not program specific.

This list shows faculty members with full supervisory privileges who are affiliated with this program. It is not a comprehensive list of all potential supervisors as faculty from other programs or faculty members without full supervisory privileges can request approvals to supervise graduate students in this program.

Adem, Alejandro (Cohomology of finite groups, orbifolds, stringy topology, algebra, sporadic simple group, group actions, arithmetic groups, K-theory, homotopy theory, spaces of homomorphisms)
Angel, Omer (Probability theory, percolation, random graphs, random walks, particle processes, scaling limits)
Bachmann, Sven (Mathematics and statistics; Mathematical Analysis; quantum phenomena; Mathematical physics; Quantum statistical physics; Topological states of matter)
Balmforth, Neil (Fluid mechanics, nonlinear dynamics and applied partial differential equations)
Behrend, Kai (Moduli spaces, Gromov-Witten invariants, string theory, Donaldson-Thomas invariants, Euler characteristics, categorification)
Bennett, Michael (Number Theory, Diophantine Approximation and Classical Analysis)
Bryan, Jim (Algebraic and differential geometry; Algebraic geometry, moduli spaces, enumerative invariants related to theoretical physics.)
Cautis, Sabin (Mathematics and statistics; Geometry)
Chau, Albert (Differential Geometry and Partial Differential Equations)
Chen, Jingyi (Algebraic and differential geometry; Differential Geometry, Partial Differential Equations)
Colliander, James (hamiltonian dynamical systems; partial differential equations; harmonic analysis)
Coombs, Daniel (Mathematical biology; Cellular immunology; Complex physical systems; Epidemiology (except nutritional and veterinary epidemiology); Cell Signaling and Infectious and Immune Diseases; Cell biophysics; Disease models; Epidemiology; Immune cell signalling; Mathematics)
Cytrynbaum, Eric (Bacterial cell division, Microtubule and cellular organization, Wave propagation in excitable media)
Dao Duc, Khanh (Genomics; Mathematical biology; Neurocognitive patterns and neural networks; Agricultural spatial analysis and modelling; combine mathematical,computational and statistical tools to study fundamental biological processes; regulation and determinants of gene expression and translation; Machine Learning for Biological Imaging and Microscopy; Database development and management; Biological and Artificial Neural Networks for geometric representation)
Doebeli, Michael Walter (Mathematical ecology and evolution, evolution of diversity, adaptive speciation, evolution of cooperation, game theory, experimental evolution in microorganisms)
Feng, James (Chemical engineering; Mathematics and statistics; Biophysics; Complex fluids; Fluid mechanics; Mathematical biology)
Fraser, Ailana (Differential Geometry, Geometric Analysis)
Friedlander, Michael (numerical optimization, numerical linear algebra, scientific computing, Scientific computing)
Frigaard, Ian (Fluid mechanics (visco-plastic fluids))
Ghioca, Dragos (Drinfeld modules, isotrivial semiabelian varieties, Lehmer inequality)
Gordon, Julia Yulia (Representation theory of p-adic groups and motivic integration; Trace Formula and its applications)
Gustafson, Stephen James (Mathematics and statistics; Mathematical Analysis; Differential Equation; Global and Non-Linear Analysis; Mathematical physics; Nonlinear partial differential equations; Nonlinear waves; Topological solitons)
Hauert, Christoph (Mathematics and statistics; Modelization and Simulation; Evolution and Phylogenesis; Biological Behavior; dynamical systems; evolution; game theory; social dilemmas; stochastic processes)
Hermon, Jonathan (probability theory; Markov chains and the cutoff phenomenon; particle systems; percolation)
Holmes-Cerfon, Miranda (Mathematical modelling and simulation; Computational methods in statistics; Numerical analysis; Thermodynamics and statistical physics)

Doctoral Citations

Sample thesis submissions.

Free boundary minimal submanifolds in geodesic balls of simply connected space forms
On a completion of cohomological functors generalizing Tate cohomology
Distribution of integral points on varieties
Effective and explicit S-unit equations with many terms
Classifying space for commutativity and unordered flag manifolds
Finite-size scaling of a few statistical physics models in high dimensions
Residual supersingular Iwasawa theory and μ-invariants for Zₚ²-extensions
Numerical methods for biological flows laden with deformable capsules and solid particles
The construction of blow-up solutions for some evolution equations
Topics in discrete analysis
Inviscid damping phenomena in some fluid models
Gibbs measures and factor codes in symbolic dynamics
Deep reinforcement learning agents for industrial control system design
Structure-preserving numerical schemes for phase field models
Enumerative geometry problems for Calabi-Yau manifolds with an action

Related Programs

Same specialization.

Master of Science in Mathematics (MSc)

At the UBC Okanagan Campus

Further information, specialization.

UBC Calendar

Program website, faculty overview, academic unit, program identifier, classification, social media channels, supervisor search.

Departments/Programs may update graduate degree program details through the Faculty & Staff portal. To update contact details for application inquiries, please use this form .

Nicholas Richardson

Having grown up outside of Toronto and completed my undergrad and master's degree at the University of Waterloo, I was ready to change the scenery and go study somewhere else. I joke that is it the farthest I could move without leaving Canada, but more truthfully it was the campus that felt "right...

Gabriel Currier

I quite like the kind of math that people do here, and enjoy working with my supervisors. The campus is also a beautiful place and the graduate student community is pretty laid back and friendly.

Nathan Lawrence

Many factors contributed to my choice of UBC for graduate school. I was attracted to Vancouver’s geographical similarities to Portland in the pacific northwest. Also, I have family in the area. However, most importantly, I was intrigued and inspired by my professors and advisors to take on the...

Start calling Vancouver “Home”

The metropolitan area is known for its diversity and UBC is one of the most international universities in Canada. This multicultural community means we have a wide range of restaurants, grocery stores, and events to provide a sense of belonging.

Why Grad School at UBC?
Application & Admission
Info Sessions
Research Projects
Indigenous Students
International Students
Tuition, Fees & Cost of Living
Newly Admitted
Student Status & Classification
Student Responsibilities
Supervision & Advising
Managing your Program
Health, Wellbeing and Safety
Professional Development
Dissertation & Thesis Preparation
Final Doctoral Exam
Final Dissertation & Thesis Submission
Life in Vancouver
Vancouver Campus
Graduate Student Spaces
Graduate Life Centre
Life as a Grad Student
Graduate Student Ambassadors
Meet our Students
Award Opportunities
Award Guidelines
Minimum Funding Policy for PhD Students
Killam Awards & Fellowships
Policies & Procedures
Information for Supervisors
Dean's Message
Leadership Team
Strategic Plan & Priorities
Vision & Mission
Equity, Diversity & Inclusion
Initiatives, Plans & Reports
Graduate Education Analysis & Research
Media Enquiries
Newsletters
Giving to Graduate Studies

Strategic Priorities

Strategic Plan 2019-2024
Improving Student Funding
Promoting Excellence in Graduate Programs
Enhancing Graduate Supervision
Advancing Indigenous Inclusion
Supporting Student Development and Success
Reimagining Graduate Education
Enriching the Student Experience

Initiatives

Public Scholars Initiative
3 Minute Thesis (3MT)
PhD Career Outcomes
Great Supervisor Week

Universal Navigation

Universal navigation2.

U of T's Statistical Sciences Rankings
Collaborate With Us

Search form

Research Areas

Mathematical Finance

Our Research
Publication Highlights
Request new password

Main Content

Rotman Finance offers top-tier training from some of the world’s leading experts in fields such as risk management, corporate governance, delegated asset management, and behavioural finance. The PhD Program in Finance at the Rotman School trains prospective scholars to become highly skilled and innovative researchers and teachers, and to prepare them for careers as faculty members at premier academic institutions throughout the world.

Strengths of the Program

Rotman Finance offers top-tier training from some of the world's leading experts in fields such as risk management, corporate governance, delegated asset management, and behavioural finance. Students are assigned faculty mentors upon admission and work closely with faculty throughout the program. We train prospective scholars to become highly skilled and innovative researchers and teachers.

Learn more about how to enrol in the program

Admission to the Program

The PhD Program in Finance is looking for accomplished graduate and undergraduate students, with strong backgrounds in economics, finance, quantitative methods or related fields. Our admission is highly competitive. We encourage you to explore our website to discover what makes a successful candidate.

PhD Courses

Rotman PhD courses in finance stream provide a strong base in finance theory, economics and empirical methods. Preview course offerings here.

Program Structure and Requirements

The PhD program in Finance is an intense academic exercise providing effective training for an academic career. Our program includes required courses, comprehensive examinations, research paper presentations as well as the final dissertation.

Current PhD Students

The doctoral students in the Finance stream are a key strength of the Rotman School. After graduation, these students will go on to work at some of the world's top universities, helping to extend the reputation of Rotman and of the University of Toronto.

Meet the Rotman Finance faculty.

Faculty by Research Focus

As a PhD student you will work closely with faculty that share your research interests, are working on similar areas, or can provide a new perspective. Find out what our faculty members are currently working on here.

Risk Management Research Team

Exciting research opportunities at Rotman abound. Learn about a new research team in Risk Management.

ICPM Grant on Corporate Governance

Exciting research opportunities at Rotman abound. Learn about a new research project on Governance.

The Rotman School of Management is accredited by the Association to Advance Collegiate Schools of Business (AASCB)

APPLY TO MMF
HIRE A QUANT
CURRENT STUDENTS
MMF E-LEARNING

MMF Applications Open October 1 2024

Applications for Fall 2025 entry will open on October 1 2024.

If you are interested in joining the MMF Program in the future, click here for more information on MMF’s application criteria, and be sure to follow MMF on LinkedIn , YouTube , Instagram , Twitter , Facebook , and Spotify for more updates throughout the year.

MMF Blog: 2023-24 Squarepoint Scholars

Last fall, the Squarepoint Foundation awarded scholarships to six Master of Mathematical Finance (MMF) grads from the class of 2024. They share what it means to be recognized.

MMF Ranked A Top-25 Quant Program By Risk.net

This year’s Risk.net annual ranking of the top Quant Finance Master’s programs has been released. MMF has moved up five places to 13th, and it’s still the only Canadian university to be in the top 25 programs listed.

Established in 1998 MMF remains at the forefront of training in quantitative finance. MMF is a boutique Program admitting a select number of students each year who will move through the Program as one cohort. The boutique nature of our Program means that students will learn in smaller class sizes, have the opportunity to build lasting bonds with their classmates and work in industry-like teams to complete projects and presentations.

If you have advanced math, statistics and programming skills you may be a great fit for Quantitative Finance. After 12 months of training your Master of Mathematical Finance degree prepares you to join a dynamic and growing industry

Financial Mathematics is one of the fastest growing areas of applied mathematics. Institutions that employ financial mathematicians are among the wealthiest and most sophisticated corporations in the world. A career in financial mathematics provides you with an invigorating combination of intellectual challenge and accelerated professional growth.

A fast-track Program

During your 12 months of training in MMF your superior quantitative skills are focused on the tools of financial mathematics for the initial 4 months of course work. You then move into a full-time 4 month internship with one of our industry partners. Finally, you will complete course work during the last 4 months of the Program.

Applied mathematics in business is as demanding and interesting as it is in the sciences, engineering or technology

You may join an institution (hedge fund, bank, government or pension plan) with multibillion-dollar investment portfolios. You may manage sophisticated hedge funds, complex derivatives, assess the risk in a bank’s commercial loans portfolio or develop original software applications for financial markets. There have been Nobel Prizes awarded for work in financial mathematics.

My UCalgary
Class Schedule
UCalgary Directory
Continuing Education
Active Living
Academic Calendar
UCalgary Maps
Close Faculty Websites List Viewing: Faculty Websites
Cumming School of Medicine
Faculty of Arts
Faculty of Graduate Studies
Faculty of Kinesiology
Faculty of Law
Faculty of Nursing
Faculty of Nursing (Qatar)

Faculty of Science

Faculty of Social Work
Faculty of Veterinary Medicine
Haskayne School of Business
School of Architecture, Planning and Landscape
School of Public Policy
Schulich School of Engineering
Werklund School of Education
Future Students
Explore programs
How to apply
Understanding graduate studies
Indigenous graduate students
Financing grad school
International students
Graduate Student life
Current Students
Indigenous Graduate Students
Newly Admitted
Graduate Orientation
Pre-arrival
Registration
Annual Registration
Concurrent Registration
Flexible Grading Option (CG Grade)
Confirmation of registration
Course registration
Leave of absence
Registration status
Studying at another university
Updating personal information (included preferred name)
Thesis-based students

Fees and funding

Understanding your fees
Paying your fees
Funding options
Payment plan
Supervision
Best practices and guidelines
Conflict of interest
Changing supervision
Academic integrity
Annual progress report
Intellectual property
Building a thesis
Submit your thesis
Conducting oral exams remotely
Thesis defence
Course-based Students
Academic Integrity
Sources of funding
Payment Plan
NEW: Term-Based Registration
Completing my degree
Important dates and resources
Forms and documents
Service Requests and eForms
News, updates and events
Find your Graduate Program Administrator
Calendar Archives
Award Opportunities
Graduate Awards Database
Award opportunities
Doctoral Recruitment Scholarships
Award Guide
Step 1: Applying
Looking for awards
Eligibility
Preparing your application
Step 2: Receiving
Accept/Decline your award
Getting paid
Step 3: Managing your award
Renewing your award
Award interruption
Award Termination
Policies and Regulations
Regulations
Contact the Scholarship Office
My GradSkills
Academic Success
My GradSkills Partners
Communication Skills
Research Communications Feedback Sessions
Oral communication
Visual communication
Written communication
Experiential Learning
Internships
For employers
For graduate students
Finding an internship
Making your internship a TTI
Applying for a TTI
For graduate supervisors
Images of Research
Three Minute Thesis
2024 UCalgary 3MT Finalists
2024 3MT Finals' Hosts and Judges
Past Three Minute Thesis Videos
Workshops and Resources
Career planning and professional development resources
My GradSkills Calendar
My GradSkills Workshop Matrix
Online/Virtual Training
UCalgary Alumni Mentorship Program
Exceptional scholars
What I wish I knew
FGS Services
Supervisory Renewal
Supports for graduate students
Graduate Academic and International Specialists
Graduate supervisors
Thesis and candidacy exams
Supervisor resources
Maintaining your supervisor profile
Supervisory privileges
Leadership team
FGS Council
Committees of Council
Minutes and meetings
Website Feedback

Mathematics and Statistics

Doctor of Philosophy (PhD)

Thesis-based program

Program overview.

Doctoral students in mathematics and statistics contribute original thought to a discipline that has developed in richness and complexity from antiquity to the present day. Students will choose to focus on a pure mathematical area such as combinatorics, discrete mathematics, geometry, logic, number theory and cryptography, analysis or even mathematical physics; or on theoretical research in probability or statistics. Or you may choose to work in industrial mathematics and operations research, with application in biology and medicine, biomedical statistics, energy or financial markets, mathematical finance, actuarial science, geoscience, medical imaging, software and computer applications, and big data analysis.

Completing this program

Mathematics Courses: Topics may include measure and integration, analysis, algebraic geometry, number theory, scientific modelling and more.
Statistics Courses: Topics may include probability, estimation, hypothesis testing and more.
Seminars: In addition to required courses, students register in a research seminar in either actuarial science, biostatistics, mathematics, or statistics (depending on student's specialization).
Presentations: Students are required to give three invited or contributed presentations during the degree program.
Preliminary Examinations: Doctoral students must pass written Preliminary Examinations no later than 18 months from the beginning of their program and before completing Candidacy.
Candidacy: Students will complete both oral and written candidacy exams.
Thesis: Students will be required to submit and defend an original research thesis.

Specializations

Mathematics
Biostatistics (Interdisciplinary)
Actuarial Science
Mathematical Finance

Universities and colleges, Government of Canada (Canadian citizens only), banking and finance, information technology and cybersecurity, energy, risk management and insurance, health, pharmaceuticals, environmental management, quantum computing, data analytics, medical imaging.

A PhD in math and statistics is usually considered a final degree.

Students are required to prepare a thesis and successfully defend in an open oral defense.

Eight courses

Learn more about program requirements in the Academic Calendar

Classroom delivery

Time commitment.

Four years full-time; six years maximum

A supervisor is required, but is not required prior to the start of the program

See the Graduate Calendar for information on fees and fee regulations, and for information on awards and financial assistance .

Virtual Tour

Explore the University of Calgary (UCalgary) from anywhere. Experience all that UCalgary has to offer for your graduate student journey without physically being on campus. Discover the buildings, student services and available programs all from your preferred device.

Supervisors

Learn about faculty available to supervise this degree. Please note: additional supervisors may be available. Contact the program for more information.

Tracey Balehowsky

Kristine Bauer

Karoly Bezdek

Elena Braverman

Thierry Chekouo

Clifton Cunningham

Rob Deardon

Wenjun Jiang

Wenyuan Liao

Admission Requirements

A minimum of 3.0 GPA on a 4.0 point system, over the past two years of full-time study (a minimum of 10 full-course equivalents or 60 units) of the undergraduate degree.

Minimum education

A master’s degree or equivalent in the subject of the specialization.

Work samples

Reference letters, test scores, english language proficiency.

An applicant whose primary language is not English may fulfill the English language proficiency requirement in one of the following ways:

Test of English as a Foreign Language (TOEFL ibt) score of 97 (Internet-based, with no section less than 20).
International English Language Testing System (IELTS) score of 7.0 (minimum of 6.0 in each section).
Pearson Test of English (PTE) score of 68, or higher (Academic version).
Canadian Academic English Language test (CAEL) score of 70 (70 in some sections – up to the program, 60 in all other).
Academic Communication Certificate (ACC) score of A- in one or two courses (up to the program), “B+” on all other courses.
Cambridge C1 Advanced or Cambridge C2 Proficiency minimum score of 191.

*Please contact your program of interest if you have any questions about ELP requirements.

For admission on September 1:

Canadians and permanent residents: Jan. 15 application deadline
International students: Jan. 15 application deadline

If you're not a Canadian or permanent resident, or if you have international credentials, make sure to learn about international requirements

Are you ready to apply?

Learn more about this program, department of mathematics and statistics.

Mathematical Science Room 462 612 Campus Place NW Calgary, AB T2N 4V8 403.220-6299

Contact the Graduate Program Administrator

Visit the departmental website

Biological Sciences, Room 540 2500 University Drive NW Calgary, AB T2N 1N4 403.220.8600

Visit the Faculty of Science website

Learn more about UCalgary by taking a virtual tour

Related programs

If you're interested in this program, you might want to explore other UCalgary programs.

Course-based MSc

Thesis-based MSc

Community Health Sciences

Computer science.

Thesis-based MA

Course-based MA

Electrical and Software Engineering

Course-based MEng

Course-based MEng (Software)

Thesis-based MEng

Thesis-based MSc

Medical Science

Physics and astronomy, veterinary medicine, curious about the university of calgary.

Located in the nation's most enterprising city, we are a living, growing and youthful institution that embraces change and opportunity with a can-do attitude.

Mathematical Finance

$Sabrina Zhai$

“I really like the culture at Waterloo. It’s so inclusive — you get to meet a lot of students from different backgrounds and a lot of other people who are passionate about math. Interacting with them on a daily basis is really exciting.”

What is Mathematical Finance?

Mathematical Finance is an elite program designed for students with outstanding mathematical skills who want a career in high-level quantitative finance. In one of the most advanced undergraduate finance programs in the world, you’ll take courses in corporate finance, real analysis, asset liability management and forecasting. The program delivers solid mathematical training and a modern understanding of the financial market to prepare you for the broad field of banking and finance after graduation

Available as a co-op or regular program
There are 40 courses for this degree
Graduate with a Bachelor of Mathematics, major in Mathematical Finance

First-year courses

MATH 135/145 - Classical Algebra
MATH 137/147 - Calculus 1
CS 115/135/145 - Computer Science
A communications course
One non-math elective

See full courses in our undergraduate calendar .

Upper-year courses

ACTSC 372 - Corporate Finance
PMATH 351 - Real Analysis
STAT 443 - Forecasting
ACTSC 445 - Quantitative Enterprise Risk Management

Sample co-op jobs

Quantitative Analyst, BMO
Product Manager Assistant, AVIVA — COFCO Life Insurance
Portfolio Analyst — GCM — Derivatives, CPP Investment Board
Audit Co-op Student — Market Risk, Scotiabank
Quantitative Analyst, Manulife Financial

Sample careers

Derivatives Analyst, Canada Pension Plan Investment Board
Director, International Strategy and Banks Research, China Construction Bank International
Finance Operation Analyst, GE Canada Inc.
Investment Analyst, Dancap Global Asset Management
Treasury Manager, Avolon

Student stories

Nidhi is double major in Mathematical Finance and Statistics. She is from United Arab Emirates and was attracted to study at the University of Waterloo because of the institution's international reputation in math and co-op. She's worked as an Accounting Analyst, Financial Analyst and Actuarial Analyst and hopes to hone these experiences to work in finance-related careers. She's a member of the UW Finance Club and UW Ballroom Club and enjoys rock climbing, crocheting ,art and reading.

Meet Sabrina

While at the University of Waterloo, Sabrina has taken advantage of the global opportunities that the school has to offer - including a co-op term in Switzerland. When on-campus in Waterloo, she is part of the Archery Club and in her spare time she likes to practice and play the piano.

Similar programs

If you're interested in Mathematical Finance, you may also be interested in these programs that offer similar courses or career opportunities:

Actuarial Science with a Finance Option
Mathematics/Business Administration
Mathematics/Financial Analysis and Risk Management
Pure Mathematics

How to apply

Apply to Mathematics for admissions consideration. If admitted, speak with an academic advisor after first year to declare Mathematical Finance as a major.

Find out more information on the steps to apply .

Explore more mathematics and computer science programs .

U of T Home | Graduate Faculty Members A-Z | A-Z Index

SGS Home

School of Graduate Studies (SGS) Calendar

Mathematical finance, mathematical finance: introduction, faculty affiliation.

Arts and Science

Degree Programs

Financial engineering is one of the fastest-growing areas of applied mathematics.

Contact and Address

Web: www.mmf.utoronto.ca Email: [email protected] Telephone: (416) 946-5206

Mathematical Finance Program University of Toronto Suite 17030, 700 University Avenue Toronto, Ontario M5G 1Z5 Canada

Mathematical Finance: Graduate Faculty

Full members, associate members, mathematical finance: mathematical finance mmf, master of mathematical finance, program description.

Minimum Admission Requirements

Applicants are admitted under the General Regulations of the School of Graduate Studies. Applicants must also satisfy the graduate unit's additional admission requirements stated below.

Applicants must have an appropriate bachelor's degree in a quantitative, technical discipline with a minimum of a mid-B standing in the final two years.

paper-based TOEFL exam: 580 and 5 on the Test of Written English (TWE)

Internet-based TOEFL exam: 93/120 and 22/30 on the writing and speaking sections

Applicants must also show evidence of strong mathematical ability. Appropriate workplace experience will be considered in lieu of formal education.

Inquiries about part-time options for the program should be addressed to the Program Director.

Program Requirements

Students must complete all required courses listed below.

Program Length

3 sessions full-time (typical registration sequence: F/W/S)

3 years full-time

Mathematical Finance: Mathematical Finance MMF Courses

Courses are offered in modules. A module will consist of a four-week unit with a minimum of three contact hours per week, or its equivalent. A large portion of the learning for the module will take place outside of class through carefully designed computer projects and group study. The courses have been packaged in units of one, two, three, four, or five modules, and the course weight will be equal to the number of modules; for example, a course with three modules will have a weight of three credit hours. Six modules will be considered the equivalent of one full-course equivalent in a standard format. The third digit of the four-digit course number determines the course weight.

Third Digit Notation

1 = one-third of a half course 2 = two-thirds of a half course 3 = one half course 4 = two-thirds of a full course 5 = one full course

Required Courses

Additional courses.

0 Course that may continue over a program. The course is graded when completed.

Programs at a Glance
Programs by Graduate Unit
Programs by SGS Division
Search Collaborative Specializations
Search Combined Degree Programs
Search Graduate Faculty Members
Glossary of Degrees and Honorifics
Sessional Dates
Important Notices
General Regulations
Degree Regulations
Fee Regulations
Financial Support
Dean's Welcome
Mission Statement
Graduate Studies at the University of Toronto
PDF Calendar and Archives

My UCalgary
Class Schedule
UCalgary Directory
Continuing Education
Active Living
Academic Calendar
UCalgary Maps
Close Faculty Websites List Viewing: Faculty Websites
Cumming School of Medicine
Faculty of Arts

Faculty of Graduate Studies

Faculty of Kinesiology
Faculty of Law
Faculty of Nursing
Faculty of Nursing (Qatar)
Faculty of Science
Faculty of Social Work
Faculty of Veterinary Medicine
Haskayne School of Business
School of Architecture, Planning and Landscape
School of Public Policy
Schulich School of Engineering
Werklund School of Education
DEPARTMENT OF MATHEMATICS AND STATISTICS
Future Students
Undergraduate
Admission Requirements
Fees and Funding
Student Community
International Students
Research Opportunities
Graduate Science Centre
Graduate Assistantships
Application Procedures
Professional Programs
Current Students
New Students
Courses and Outlines
Degree Planning and Program Sequencing
Math Help Centre
Tools and Resources
Awards and Scholarships
Mathematics and Statistics Undergraduate Research Award
Study Abroad
Undergraduate Science Centre and Student Success Centre
Course Selection
Procedures, Policies and Forms
Graduate Regulations
Professional Development Opportunities
Research Areas
Actuarial Science
Algebraic Geometry, Number Theory and Cryptography
Biostatistics
Combinatorics, Discrete Mathematics, Geometry and Logic
Industrial Mathematics

Mathematical Finance

Pure and Applied Analysis, and Mathematical Physics
Research Support
Institutes, Centres and Groups
Internal Grants
Syzygy Calgary
Undergraduate Research Opportunities
CDM Journal
Research Lectures
Geometric Analysis Seminar
Educational Outreach
Industrial Partnerships
News and Events
Excellence and Awards
Giving to the Department of Mathematics and Statistics
Remembering Richard Guy
Past Conferences

Master of Science (MSc)

Master's programs

Thesis-based

Academic background : Bachelor's degree in mathematical finance or an undergraduate degree in a field related to mathematical finance, such as stochastic processes, probability, statistics, mathematics, economics or finance.

Course load : One seminar course and five courses at graduate level which must include two courses from List E, one from List F and one from List G.

Thesis or project : A thesis has to be written and defended orally in front of an exam committee.

Completion time : On average, two years. The maximum time allowed is four years.

Is part-time available : Yes. The maximum time allowed is six years.

Course performance level : Should maintain a minimum cumulative GPA of 3.00 (calculated on a four-point scale) at the end of each registration year and attain at least a B- on each course taken for credit.

Funding : Funded for up to two years or sponsored.

Course-based

Academic background : A bachelor's degree in mathematical finance or an undergraduate degree in a field related to mathematical finance, such as stochastic processes, probability, statistics, mathematics, economics or finance.

Course load : One seminar course and eight courses which must include two courses from List E, two from List F and two from List G (or 2 from List E, three from List F and one from List G (if the courses from List G do not run annually))

Thesis or project : Must register and attend MATH 600A in Fall and MATH 600B in Winter and obtain a pass grade.

Completion time : 1-2 years. The maximum time allowed is four years.

Funding : Unfunded.

Research supervisors

Alexandru Badescu : Mathematical finance, actuarial science
Jinniao Qiu : Mathematical finance, analysis, PDE, operation research
Deniz Sezer : Mathematical finance, operation research, modelling of wind and solar energy
Anatoliy Swishchuk : Mathematical finance, energy market modelling, stochastic calculus, random evolutions, stochastic processes
Antony Ware : Computational finance, energy markets modelling, numerical methods

Course lists

List E courses

ACSC 515 Models for Financial Economics MATH 681 Stochastic Calculus for Finance MATH 683 Computational Finance

List F courses

STAT 507 Introduction to Stochastic Processes (or MATH 685 Stochastic Processes) MATH 605 Differential Equations III MATH 601 Measure and Integration STAT 701 Theory of Probability I STAT 721 Theory of Estimation

List G courses

MATH 691.01 Lévy Processes in Finance MATH 693.01 Monte Carlo Methods for Quantitative Finance MATH 691.05 Stochastic Optimal Control & Applications in Finance MATH 693.03 Energy, Commodity and Environmental Finance MATH 691.03 Credit Risk MATH 693.05 Advanced Topics in Mathematical Finance

Haskayne Courses:

FNCE 613 - Investment and Portfolio Management FNCE 631 - FinTech FNCE 645 - Futures and Options FNCE 667 - Financial Risk Management FNCE 668 - Topic: Sustainable Finance

Please refer to haskayne.ucalgary.ca/haskayne_info/courses/f23 for course offerings in Fall 2023
Please refer to haskayne.ucalgary.ca/haskayne_info/courses/w24 for course offerings in Winter 2024
Please refer to the UCalgary Calendar for the most updated Finance course list and course descriptions.
There are differential fees for FNCE 6XX MBA courses (the fee is attached to the course).
Haskayne School of Business Courses: Students may be granted exemption from required courses (e.g., Prerequisite: Finance 601) based upon prior academic preparation and with the approval of the Associate Dean (MBA Program). Change of Course Registration Form

Thesis and thesis oral examination

A master’s thesis-based student must complete a thesis on a topic to be agreed to by the student and their supervisor.

After completion of the thesis, the student must pass a thesis oral examination
A master's thesis oral exam committee contains a supervisor, a co-supervisor (if applicable), an examiner (an additional member of the University of Calgary academic staff), and an internal examiner (a member of the University of Calgary academic staff)
The exam must be scheduled at least four weeks prior to date of oral exam
Examiners must have a copy of the thesis at least three weeks prior to the date of oral exam
Final thesis oral examinations are open

More information can be found on the Faculty of Graduate Studies websites under examinations .

For more information on requirements, please visit the Faculty of Graduate Studies website.

Why Study for a Mathematical Finance PhD?

I was emailed by a reader recently asking about mathematical finance PhD programs and the benefits of such a course. If you are considering gaining a PhD in mathematical finance, this article will be of interest to you.

If you are currently near the end of your undergraduate studies or are returning to study after some time in industry, you might consider starting a PhD in mathematical finance. This is an alternative to undertaking a Masters in Financial Engineering (MFE), which is another route into a quantitative role. This article will discuss exactly what you will be studying and what you are likely to get out of a PhD program. Clearly there will be differences between studying in the US, UK or elsewhere. I personally went to grad school in the UK, but I will discuss both UK and US programs.

Mathematical finance PhD programs exist because the techniques within the derivatives pricing industry are becoming more mathematical and rigourous with each passing year. In order to develop new exotic derivatives instruments, as well as price and hedge them, the financial industry has turned to academia. This has lead to the formation of mathematical finance research groups - academics who specialise in derivatives pricing models, risk analysis and quantitative trading.

Graduate school, for those unfamiliar with it, is a very different experience to undergraduate. The idea of grad school is to teach you how to effectively research a concept without any guidance and use that research as a basis for developing your own models. Grad school really consists of a transition from the "spoon fed" undergraduate lecture system to independent study and presentation of material. The taught component of grad school is smaller and the thesis component is far larger. In the US, it is not uncommon to have two years of taught courses before embarking on a thesis (and thus finding a supervisor). In the UK, a PhD program is generally 3-4 years long with either a year of taught courses, or none, and then 3 years of research.

A good mathematical finance PhD program will make extensive use of your undergraduate knowledge and put you through graduate level courses on stochastic analysis, statistical theory and financial engineering. It will also allow you to take courses on general finance, particularly on corporate finance and derivative securities. When you finish the program you will have gained a broad knowledge in most areas of mathematical finance, while specialising in one particular area for your thesis. This "broad and deep" level of knowledge is the hallmark of a good PhD program.

Mathematical Finance research groups study a wide variety of topics. Some of the more common areas include:

Derivative Securities Pricing/Hedging: The technical term for this is "financial engineering", as "quantitative analysis" now encompasses a wide variety of financial areas. Some of the latest research topics include sophisticated models of options including stochastic volatility models, jump-diffusion models, asymptotic methods as well as investment strategies.
Stochastic Calculus/Analysis: This is more of a theoretical area, where the basic motivation stems from the need to solve stochastic differential equations. Research groups may look at path-dependent PDEs, functional Ito calculus, measure theory and probability theory.
Fixed Income Modeling: Research in this area centres on effectively modelling interest rates - such as multi-factor models, multi-curve term structure models as well as interest rate derivatives such as swaptions.
Numerical Methods: Although not always strictly related to mathematical finance, there is a vast amount of university research carried out to try and develop more effective means of solving equations numerically (i.e. on the computer!). Recent developments include GPU-based Monte Carlo solvers, more efficient matrix solvers as well as Finite Differences on GPUs. These groups will almost certainly possess substantial programming expertise.
Market Microstructure/High-Frequency Modeling: This type of research is extremely applied and highly valued by funds engaged in this activity. You will find many academics consulting, if not contracting, for specialised hedge funds. Research areas include creating limit order market models, high frequency data statistical modelling, market stability analysis and volatility analysis.
Credit Risk: Credit risk was a huge concern in the 2007-2008 financial crisis and many research groups are engaged in determining such "counterparty risks". Credit derivatives are still a huge business and so a lot of research goes into collateralisation of securities as well as pricing of exotic credit derivatives.

These are only a fraction of the total areas that are studied within mathematical finance. The best place to find out more about research topics is to visit the websites of all the universities which have a mathematical finance research group, which is typically found within the mathematics, statistics or economics faculty.

The benefits of undertaking a PhD program are numerous:

Employment Prospects: A PhD program sets you apart from candidates who only possess an undergraduate or Masters level ability. By successfully defending a thesis, you have shown independence in your research ability, a skill highly valued by numerate employers. Many funds (and to a lesser extent, banks) will only hire PhD level candidates for their mathematical finance positions, so in a pragmatic sense it is often a necessary "rubber stamp". In investment banks, this is not the case so much anymore, as programming ability is generally prized more. However, in funds, it is still often a requirement. Upon being hired you will likely be at "associate" level rather than "analyst" level, which is common of undergraduates. Your starting salary will reflect this too.
Knowledge: You will spend a large amount of time becoming familiar with many aspects of mathematical finance and derivatives theory. This will give you a holistic view into the industry and a more transferable skill set than an undergraduate degree as you progress up the career ladder. In addition, you will have a great deal of time to learn how to program models effectively (without the day-to-day pressure to get something implemented any way possible!), so by the time you're employed, you will be "ahead of the game" and will know best practices. This aspect is down to you, however!
Intellectual Prospects: You are far more likely to gain a position at a fund after completing a PhD than without one. Funds are often better environments to work in. There is usually less stress and a more relaxed "collegiate" environment. Compare this to working on a noisy trading floor, where research might be harder to carry out and be perceived as less important.

I would highly recommend a mathematical finance PhD, so long as you are extremely sure that a career in quantitative finance is for you. If you are still unsure of your potential career options, then a more general mathematics, physics or engineering PhD might be a better choice.

Join the QSAlpha research platform that helps fill your strategy research pipeline, diversifies your portfolio and improves your risk-adjusted returns for increased profitability.

The Quantcademy

Join the Quantcademy membership portal that caters to the rapidly-growing retail quant trader community and learn how to increase your strategy profitability.

Successful Algorithmic Trading

How to find new trading strategy ideas and objectively assess them for your portfolio using a Python-based backtesting engine.

Advanced Algorithmic Trading

How to implement advanced trading strategies using time series analysis, machine learning and Bayesian statistics with R and Python.

Share full article

Subscriber-only Newsletter

‘It Feels Like I Am Screaming Into the Void With Each Application’

By Peter Coy

Opinion Writer

When I asked new college graduates last month to tell me about their job searches, I got back a ton of heartache. Unanswered applications. Lowered expectations. For some, a sense that college was a waste of time and money.

John York wrote that he was about to earn a master’s degree in mathematics from New York University. “I have submitted close to 400 applications. I have heard back from less than 40, all rejections,” he wrote. “I essentially cannot get any job, because there are no entry-level positions anywhere at all.” He has a patent, he passed the first-level exam for Chartered Financial Analysts and he’s getting his Series 3 license, another financial credential. Nevertheless, he wrote, “It is just so silent, it feels like I am screaming into the void with each application I am filling out.”

Mauricio Naranjo, who is seeking work as a graphic designer, wrote, “Over the past year, I have submitted more than 400 applications and consistently receive a response that appears to be A.I.-generated, stating that unfortunately, they have moved forward with another candidate who better fits their expectations. This is the exact phrasing every time. Very few respond, as most do not reply at all.”

“Exhausting. Utterly demoralizing,” wrote Beth Donnelly, who is graduating this month with a major in linguistics and minors in German and teaching English as a second language. “I’ve been searching since early August for full-time, part-time or internship positions after I graduate. I’ve started putting my ‘desired salary’ at $35,000 in hope that just one person will think, ‘Oh, I won’t have to pay this person a large wage, so they get a leg up in the hiring process.’”

I got some positive responses, too. Lucinda Warnke, who landed a job in journalism as a general assignment reporter, wrote: “I am optimistic and excited! I feel confident in my career trajectory and my ability to build a stable, satisfying career. The job I got out of school comes with a livable wage and benefits, so I can build savings in the event that I am laid off or have some other financially demanding emergency. I feel like I made a good investment in my education because I went to a school that was affordable and studied subjects that balanced my interests with my professional needs.”

A majority of responses were grim, though. That’s not too surprising, given that half of college graduates are underemployed a year after graduation, meaning that they are working in jobs that don’t require the degrees they earned, as I wrote in my April 29 newsletter.

There’s clearly something wrong when young graduates can’t find jobs at the same time that employers complain of not being able to find qualified workers. As of March, there were still fewer unemployed people than job openings, according to the Bureau of Labor Statistics. In April the unemployment rate remained below average at 3.9 percent.

The responses I got aren’t a representative sample of all college graduates. It’s possible that unhappy people were more likely to write in. (I had to leave out some of the angriest and most dejected people because they didn’t want their names to appear.) Separately, my informal impression is that the people who wrote — happy or sad — were more likely to have attended a highly ranked school and to have graduated without student loans than the general student population.

Many students wrote that the jobs they were seeking or secured didn’t draw on what they learned in the classroom. “I will be using the skills I picked up in my data science minor, but nothing from my major (international relations),” Rain Orsi, a 2024 graduate, wrote. “A lot of the educational stuff could’ve been condensed to a 20-page PDF and I probably would be at the same knowledge level,” another student wrote. Jackeline Arcara wrote that if she had it to do over again, “I wouldn’t go to a four-year, fancy-pants school. I would take classes at a local college part-time and see where that takes me.”

Some students said that classroom learning was only part of what made college worthwhile to them. “College gives you four years to grow up — I have the maturity now to handle a full-time job. Before college, not so much,” wrote Caroline Lidz, who got a job in public relations after graduating in December with a degree in media studies and communications and a minor in art history.

Several said internships matter, a lot. “I wish I interned for a company outside of the school instead of being a research/lab assistant,” wrote Roger Vitek, who is graduating in June with a degree in product design and is still job hunting.

Economists have found that what you study in college is at least as important as where you study. As I wrote in my April 29 piece, there’s relatively strong demand for computer science, engineering, mathematics and math-intensive business fields such as finance and accounting.

But as I found out from the people who wrote in, that’s not always the case. Robert Vermeulen, a computer science major, wrote, “Out of the ~155 applications I haven’t had a reference on, I have gotten zero interviews.” Morgan Steckler wrote that he is looking for a software engineering or I.T. administration role paying at least $70,000 a year, but has had no luck so far. He said he’s thinking of bartending while continuing to send out applications. On the positive side, there are people like Warnke, who got a job as a reporter — not exactly a fast-growing profession.

As I read students’ responses, I had to remind myself that this is actually a relatively good year for finding a job. To a lot of members of the class of ’24, it doesn’t feel that way. Julia Brukx, who is graduating with a degree in history and art history, wrote, “I think I hit a new low just this morning when asked to write a cover letter for a retail position.”

Donnelly, the woman who described her job search as demoralizing, wrote: “I was told that if I was involved, active, kind, ready to learn, driven and intelligent, I would end up with a job out of college. This is evidently not true, and few older people seem to understand this.” She added, “I don’t have a backup plan besides working in the service industry.”

Elsewhere: Caps, Not Bans, for Short-Term Rentals

New York City’s Local Law 18, which was passed with the support of the hotel industry, tightens the rules on renting out rooms for less than 30 days. Supporters say renting rooms to tourists raises rents for New Yorkers. But an article published in Harvard Business Review by three scholars — one of whom used to work for Airbnb — calculates that Airbnb caused only about 1 percent of the aggregate increase in rents over the past decade or so. Hosts, guests and the businesses that serve them benefit. To keep certain neighborhoods from being overwhelmed by tourists, the authors recommend caps on how many nights per year a place may be rented out.

Quote of the Day

“The hedonistic conception of man is that of a lightning calculator of pleasures and pains who oscillates like a homogeneous globule of desire of happiness under the impulse of stimuli that shift him about the area, but leave him intact. He has neither antecedent nor consequent.”

— Thorstein Veblen, “Why Is Economics Not an Evolutionary Science?” (1898)

Peter Coy is a writer for the Opinion section of The Times, covering economics and business. Email him at [email protected] . @ petercoy

We apologize for the inconvenience...

To ensure we keep this website safe, please can you confirm you are a human by ticking the box below.

If you are unable to complete the above request please contact us using the below link, providing a screenshot of your experience.

https://ioppublishing.org/contacts/

IMAGES

Financial Mathematics Modeling and Predictive Analytics
$phd mathematical finance canada$
Grad Program
$phd mathematical finance canada$
Mathematical Finance
A Master's in Finance in Canada
Introduction to Mathematical Finance
Mathematical Finance

VIDEO

Download The Concepts and Practice of Mathematical Finance (Mathematics, Finance and Risk) PDF
PhD Mathematical Biologist Jessica Rose Explains Her PEER REVIEWED Study of VAERS Data! Viva Frei
Author of Mathematics, Accounting and Finance textbooks ready for private online coaching
Solve the Canada mathematical Olympiad question
Financial Mathematics
CCan Solutions/IQAS from Chennai Mathematical Institute

COMMENTS

Mathematical Finance
Program Overview. In the 12-month Master of Mathematical Finance (MMF) program, students' superior math skills are focused on the tools of financial mathematics for an initial four-month period. Students then move immediately into an internship with a firm. Afterwards, students will continue their coursework for the remainder of the school year.
MATH Future Students Graduate Programs Mathematical Finance PhD
Tony Ware: Mathematical finance, computational finance, energy markets modelling, numerical methods Course load The course requirements for a PhD are determined on an individual basis and must include eight half courses in the student's combined master's and doctoral program in addition to MATH 600 seminar course which must be taken in the ...
PhD in Finance
Prerequisites or corequisites: Finance 701, Finance 702, and Finance 703. Open to doctoral students in the Alberta School of Business, the Department of Economics and the Program of Mathematical Finance. For all other students, written permission of instructor required. Approval of the Associate Dean, PhD Program is also required for non-PhD ...
Finance
The PhD specialization in Finance at McGill prepares students for research-oriented academic careers. While students from all backgrounds are encouraged to apply, the typical student holds an undergraduate or a master's degree in economics, finance, mathematics, statistics, computer science, engineering or physics. The program is normally completed in five years. The first two years in the ...
Mathematical Finance Master's and PhD Programs in Canada
Study and Work in Mathematical Finance in Canada. The prequisites required to become accepted in an graduate and/or post-graduate PhD program in Mathematical Finance. Topics and concepts that are covered and the overall approach or focus taken in studying Mathematical Finance. Research areas, topics, interests projects in Mathematical Finance.
Mathematical and Statistical Sciences
For the same reason, students in the course-based MSc program in Mathematical Finance may incur additional fees compared to other course-based MSc programs at the Department. In many cases, the Department will assist with (or completely offset) these additional costs for students in a thesis-based MSc or PhD program in Mathematical Finance.
Specializations
The main mission of the PhD program in Accounting at the Haskayne School of Business, University of Calgary, is to prepare prospective faculty members for positions at reputable business schools in Canada and around the world. Our graduates teach and research in schools such as American University of Cairo, Concordia University, Mount Royal ...
Doctor of Philosophy in Mathematics (PhD)
Mathematicians use theoretical and computational methods to solve a wide range of problems from the most abstract to the very applied. UBC's mathematics graduate students work in many branches of pure and applied mathematics. The PhD program trains students to operate as research mathematicians. The focus of the program is on substantial mathematical research leading to the PhD dissertation ...
Mathematical Finance
Department of Statistical Sciences 9th Floor, Ontario Power Building 700 University Ave., Toronto, ON M5G 1Z5; 416-978-3452; Email Us
Graduate Studies
Graduate studies at the Department of Mathematical and Statistical Sciences. As one of the leading Mathematics and Statistics departments in Canada, our main graduate programs are as follows: Professionally-oriented programs: Course-based Master's Program in Biostatistics: This program offers a flexible study pace (1 year intensive, 16 months ...
MATH Research Areas Mathematical Finance
Stochastic Control, Mathematical Finance, and SPDEs Most of my research is related to stochastic control problems. For the non-Markovian problems of stochastic control and mathematical finance like the utility maximization with random coefficients, the (backward) SPDE arises naturally as the stochastic HJB equation.
Finance
Rotman Finance offers top-tier training from some of the world's leading experts in fields such as risk management, corporate governance, delegated asset management, and behavioural finance. The PhD Program in Finance at the Rotman School trains prospective scholars to become highly skilled and innovative researchers and teachers, and to prepare them for careers as faculty members at premier ...
MMF
School of Graduate Studies Centre for International Experience Student Life. Mathematical Finance Program University of Toronto 700 University Ave. | Suite 17030 Toronto, ON M5G 1Z5. [email protected] 416-946-5206
Mathematics and Statistics
Universities and colleges, Government of Canada (Canadian citizens only), banking and finance, information technology and cybersecurity, energy, risk management and insurance, health, pharmaceuticals, environmental management, quantum computing, data analytics, medical imaging. A PhD in math and statistics is usually considered a final degree.
PhD program
PhD Applied Mathematics; PhD Applied Mathematics (Quantum Information) PhD Applied Mathematics (Water) TOP; Share; Contact Info. Department of Applied Mathematics University of Waterloo Waterloo, Ontario Canada N2L 3G1 Phone: 519-888-4567, ext. 32700 Fax: 519-746-4319. Provide website feedback.
Mathematical Finance
There are 40 courses for this degree. Graduate with a Bachelor of Mathematics, major in Mathematical Finance. First-year courses. MATH 135/145 - Classical Algebra. MATH 137/147 - Calculus 1. CS 115/135/145 - Computer Science. A communications course. One non-math elective. See full courses in our undergraduate calendar.
Mathematical Finance
Mathematical Finance. MMF. Overview. ... Mathematical Finance Program University of Toronto Suite 17030, 700 University Avenue Toronto, Ontario M5G 1Z5 Canada. Mathematical Finance: Graduate Faculty. Full Members. Feuerverger, Andrey - BSc, PhD . Jackson, Kenneth - BSc, MSc, PhD . ... ON Canada M5S 2Z9 Tel: 416-978-6614. Calendar Contacts Feedback
MATH Future Students Graduate Programs Mathematical Finance MSc
Thesis-based. Academic background: Bachelor's degree in mathematical finance or an undergraduate degree in a field related to mathematical finance, such as stochastic processes, probability, statistics, mathematics, economics or finance.. Course load: One seminar course and five courses at graduate level which must include two courses from List E, one from List F and one from List G.
Mathematics and Statistics (PhD)
The School is a member of the Ottawa-Carleton Institute for Mathematics and Statistics (OCIMS), which offers one of the largest graduate programs in mathematics and statistics in Canada. Students can take courses and access research resources at both Carleton and the University of Ottawa. Learn more about Ottawa-Carleton Joint Institutes.
Best 5 Finance PhD Programmes in Canada 2024
5 Finance PhDs in Canada. This page shows a selection of the available PhDs in Canada. If you're interested in studying a Finance degree in Canada you can view all 5 PhDs. You can also read more about Finance degrees in general, or about studying in Canada. Many universities and colleges in Canada offer English-taught PhD's degrees.
Scholarships for Financial Mathematics in Canada
Scotiabank International Partner Entrance Scholarships. Merit-based. Read more about eligibility. George Brown College. Toronto, Canada. 1 of 7. Find exclusive scholarships for international PhD students pursuing Financial Mathematics studies in Canada. Search and apply online today.
Mathematics and Finance
A degree in Mathematics and Finance provides a solid foundation for careers in the financial industry and graduate studies in financial engineering and mathematical finance. Graduates of our program can apply mathematical and statistical techniques to analyze financial products and manage financial risk. They find employment in all areas where ...
Why Study for a Mathematical Finance PhD?
A good mathematical finance PhD program will make extensive use of your undergraduate knowledge and put you through graduate level courses on stochastic analysis, statistical theory and financial engineering. It will also allow you to take courses on general finance, particularly on corporate finance and derivative securities.
Opinion
As I wrote in my April 29 piece, there's relatively strong demand for computer science, engineering, mathematics and math-intensive business fields such as finance and accounting.
Calibration requirement for Epoch of Reionization 21-cm signal
The International School for Advanced Studies (SISSA) was founded in 1978 and was the first institution in Italy to promote post-graduate courses leading to a Doctor Philosophiae (or PhD) degree. A centre of excellence among Italian and international universities, the school has around 65 teachers, 100 post docs and 245 PhD students, and is located in Trieste, in a campus of more than 10 ...

School of Graduate Studies

Quick Facts

Minimum Admission Requirements

Program Requirements

Program Length

Main navigation

Faculty and Research

Related Content

Finance members

Study and Work in Mathematical Finance in Canada

Specializations

Business Technology Management

Risk Management and Insurance

Generous Funding Package

Organizational Behaviour and Human Resources | Strategy & Global Management

Cross-Disciplinary Programs

Interested in learning more?

Canadian Immigration Updates

What makes the program unique?

Quick Facts

English Language Test

TOEFL: Test of English as a Foreign Language - internet-based

IELTS: International English Language Testing System

Other Test Scores

2) Meet Deadlines

Letters of Reference

Statement of Interest

Supervision

Instructions regarding thesis supervisor contact for Doctor of Philosophy in Mathematics (PhD)

4) Apply Online

Tuition & Financial Support

Program Funding Packages

Average Funding

Scholarships & awards (merit-based funding)

Graduate Research Assistantships (GRA)

Graduate Teaching Assistantships (GTA)

Graduate Academic Assistantships (GAA)

Financial aid (need-based funding)

Foreign government scholarships

Working while studying

Tax credits and RRSP withdrawals

Cost Estimator

Career Outcomes

Sample Employers in Higher Education

Enrolment, Duration & Other Stats

ENROLMENT DATA

Advice and insights from UBC Faculty on reaching out to supervisors

Doctoral Citations

Related Programs

At the UBC Okanagan Campus

UBC Calendar

Nicholas Richardson

Gabriel Currier

Nathan Lawrence

Start calling Vancouver “Home”

Strategic Priorities

Initiatives

Universal Navigation

Search form

Mathematical Finance

Strengths of the Program

Admission to the Program

PhD Courses

Program Structure and Requirements

Current PhD Students

Faculty by Research Focus

Risk Management Research Team

ICPM Grant on Corporate Governance

MMF Applications Open October 1 2024

MMF Blog: 2023-24 Squarepoint Scholars

MMF Ranked A Top-25 Quant Program By Risk.net

If you have advanced math, statistics and programming skills you may be a great fit for Quantitative Finance. After 12 months of training your Master of Mathematical Finance degree prepares you to join a dynamic and growing industry

A fast-track Program

Applied mathematics in business is as demanding and interesting as it is in the sciences, engineering or technology

Faculty of Science

Fees and funding

Mathematics and Statistics

Thesis-based program

Completing this program

Specializations