dual phd economics and statistics

• Joint/Dual Doctoral Programs
• Programs of Study
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• Joint/Dual Masters Programs
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The University of Chicago is renowned for its interdisciplinary culture, and doctoral students can pursue a variety of joint or dual degree programs. Opportunities to create a specific combination can be discussed with one’s Director of Graduate Study.

Existing programs include:

PhD in Political Economy

Offered jointly between the Department of Political Science and the Harris School of Public Policy , the PhD program in Political Economy provides accelerated training in formal theory and statistical methods alongside deep engagement with political science. 

Joint PhD in Anthropology and Linguistics

In addition to linguistic anthropology as a sub-field within the Department of Anthropology , a joint Ph.D. program is available to students who are admitted to both the Department of Anthropology and the  Department of Linguistics . Administratively, the student is admitted to, and remains registered in, the primary, or “home” department, and subsequently seeks admission to the second department in joint residence status. Students approved to pursue the joint degree program must complete the requirements of both departments, including the distinct introductory and advanced courses stipulated by each, the departmental qualifying examination in appropriate special fields, and the language requirements, including additional foreign languages for the Linguistics Ph.D. Students should declare interest in the Joint Degree Program on the initial graduate application to the Department, and should discuss this interest personally with linguistic anthropology faculty soon after arrival on campus.

Joint PhD in Psychology and Linguistics

Students in the Department of Linguistics in the Division of the Humanities who wish to work toward a joint PhD in Psychology's Cognition Program and in Linguistics must be admitted to the Department of Psychology .

Joint PhD in Financial Economics

Established in 2006, the Joint PhD Program in Financial Economics is offered jointly by the Kenneth C. Griffin Department of Economics and the Finance dissertation area at  Chicago Booth . The aim of this program is to leverage the strengths of both sponsors in training PhD students interested in financial economics. Students must satisfy program requirements for the PhD in both departments.

Joint PhD in Psychology and Business

Established in 2009, the Joint Program in Psychology and Business is overseen jointly by the  Department of Psychology  and the  Behavioral Science dissertation area  at Chicago Booth. The aim of this program is to connect the large number of social, cognitive, and organizational psychologists at Chicago Booth and within the Department of Psychology. To qualify for the joint program, a student must be admitted into either the Psychology or the Business graduate program.

JD/PhD Programs

Doctoral students in Social Sciences who are also admitted to the University of Chicago Law School may pursue a concurrent PhD/JD program , where there is an explicit and authorized close association between legal education and doctoral training. Students in the concurrent degree program alternate registration sites between the two units. Students complete all requirements for both degrees. Applicants must apply to both programs separately. The University of Chicago Law School has established a fellowship program to support students pursuing a concurrent JD/PhD at the University of Chicago, which may grant fellowship aid during the Law School years.

MD/PhD in Medicine, the Social Sciences, and Humanities

The program in  Medicine, the Social Sciences and Humanities (MeSH)  at the University of Chicago trains medical students to become innovative physician-scholars at the critical interface of medicine and society. The MeSH program is an opportunity for students interested in obtaining an MD and a PhD in a field outside of the traditional biological and physical sciences. Students interested in MeSH may pursue a doctoral degree among any of the graduate programs relevant to the social sciences and humanities at the University of Chicago.

Joint PhD in Social Thought & Classics

The  Joint Ph.D. Program in Social Thought and Classics  is intended for students whose study of a particular issue or text from the ancient Greek and Roman world requires a broadly inter-disciplinary approach alongside a professional mastery of philological skills. Those interested in pursuing this joint degree program must first be admitted in EITHER the  Committee on Social Thought  OR the  Department of Classics  and complete at minimum the two quarter language survey (Greek or Latin), offered by the Department of Classics, with an average grade of B or higher. Application shall then be made to the second department and, provided that the standards of admission to that department are met, students will be admitted to joint degree status. 

Joint PhD Social Thought & Philosophy

The  Joint Ph.D. Program in Social Thought and Philosophy  is designed to provide students with equal in-depth training, simultaneously provided by the Committee on Social Thought and the Department of Philosophy . Those interested in pursuing this joint degree program must first be admitted in EITHER the Committee on Social Thought OR the Department of Philosophy. After commencing the program of study, application shall then be made to the second department and, provided that the standards of admission to that department are met, students will be admitted to joint degree status. 

Other Joint and Ad Hoc Degree Possibilities

Students admitted to any doctoral program in Social Sciences may subsequently petition the University to create a joint program with another department. Such individually-created joint degree programs begin in the second year of graduate studies or later. In all cases, students complete the separate program requirements for each degree, with no additional residence requirement, and write one Ph.D. dissertation that separately meets the dissertation requirements of each department.

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Joint Degree Programs

Joint degree programs with the stanford law school.

The Department of Economics and the Stanford Law School offer a joint program leading to either a J.D. degree combined with an M.A. degree in Economics or to a J.D. degree combined with a Ph.D. in Economics. In addition, there are several abbreviated law programs open to economics graduate students that involve some exposure to law and lead to a masters level nonprofessional degree rather than to a J.D.

J.D.M.A. and J.D./Ph.D. Programs

The J.D./M.A. and J.D./Ph.D. degree programs are designed for students who wish to prepare themselves intensively for careers in areas relating to both law and economics. Student interested in either joint degree program must apply and gain entrance separately to the School of Law and the Department of Economics and, as an additional step, must secure permission from both academic units to pursue degrees in those units as part of a joint degree program. Interest in either joint degree program should be noted on the student's admission applications and may be considered by the admission committee of each program. Alternatively, an enrolled student in either the Law School or the Economics Department may apply for admission to the other program and for joint degree status in both academic units after commencing study in either program.

Joint degree student may elect to begin their course of study in either the School of Law or the Department of Economics. Faculty advisors from each academic unit will participate in the planning and supervising of the student's joint program. Students must be enrolled full time in the Law School for the first year of law school, and, at some point during the joint program, may be required to devote one or more quarters largely or exclusively to studies in the Economics program regardless of whether enrollment at that time is in the Law School or in the Department of Economics. At all other times, enrollment may be in the graduate school or the Law School, and students may choose courses from either program regardless of where enrolled. Students must satisfy the requirements for both the J.D. and the M.A. or Ph.D. degrees as specified in the Stanford Bulletin or elsewhere.

The Law School shall approve courses from the Economics Department that may count toward the J.D. degree, and the Economics Department shall approve courses from the Law School that may count toward the M.A. or Ph.D. degree in Economics. In either case, approval may consist of a list applicable to all joint degree students or may be tailored to each individual student's program. The list may differ depending on whether the student is pursuing an M.A. or a Ph.D. in Economics.

In the case of a J.D./M.A. program, no more than 30 semester (45 quarter) hours of approved courses may be counted toward both degrees. In the case of a J.D./Ph.D. program, no more than 36 semester (54 quarter) hours of approved courses may be counted toward both degrees. In either case, no more than 24 semester (36 quarter) hours of courses that originate outside the Law School may count toward the law degree. To the extent that courses under this joint degree program originate outside the Law School but count toward the law degree, the law school credits permitted under Section 17(1) of the Law School Regulations shall be reduced on a unit-per-unit basis, but not below zero. The maximum number of law school credits that may be counted toward the M.A. or the Ph.D. in Economics is the greater of: (i) 3 1/3 semester (5 quarter) hours in the case of the M.A. and 6 2/3 semester (10 quarter) hours in the case of the Ph.D.; or (ii) the maximum number of hours from courses outside of the department that M.A. or Ph.D. candidates in Economics are permitted to count toward the applicable degree under general departmental guidelines or in the case of a particular student's individual program. Tuition and financial aid arrangements will normally be through the school in which the student is then enrolled.

Other Joint Law Programs

Other joint programs may be arranged - for example, the Ph.D. in Economics combined with one or two years of study in the School of Law, leading either to the nonprofessional Master of Legal Studies (M.L.S.) degree or the nonprofessional Master of Jurisprudence (J.M.) degree. These joint programs do not involve counting any courses toward both the economics and the law degree. See the Law School Bulletin for details.

Joint Degree Program in PH.D. in Economics and Master in Public Policy

The Ph.D./M.P.P. joint degree is designed for students who wish to prepare themselves for careers in areas relating to both policy and economics. Students interested in this degree first apply to the Economics Department, indicating an interest in the joint program. There is one admissions application and one fee. If the decision is made by the department to admit the applicant, the file is then forwarded to the M.P.P. program. An admission decision, based on the information in the Ph.D. application, is made promptly, and the department informs the student of the decision.

Students may also apply to the M.P.P. after having commenced study in the Economics Department at Stanford, by first receiving the consent of the Director of Graduate Studies in Economics and then applying to the Public Policy program.

Students must have a faculty adviser from the Economics Department to assist with the planning and supervising of the joint program. The adviser is usually chosen from among the department's Public Policy-affiliated faculty.

Requirements for the M.P.P./Ph.D. in Economics

Core m.p.p. curriculum of 45 units.

Up to a maximum of 45 units, or one year, of the University residency requirement can be credited toward both graduate degree programs.  This recognizes that there is a subject matter overlap between the fields comprising the joint degree.

All core courses must be taken for a letter grade. Students must maintain a 3.0 (B) grade point average overall in courses applicable to the degree.  All units must be taken in upper division (100-level) courses per university policy.

• PUBLPOL 301A: Microeconomics (4 units)
• ECON 102A: Introduction to Statistical Methods (Postcalculus) for Social Scientists (5 units)
• PUBLPOL 301B: Economic Policy Analysis for Policymakers (4 units)
• PUBLPOL 206: Law and Economics (3-4 units)  or  PUBLPOL 302B: Economic Analysis of Law
• PUBLPOL 303D: Applied Econometrics for Public Policy (4 units)
• LAW 7508: Problem Solving and Decision Making for Public Policy and Social Change*Preferred Option
• GSBGEN 646: Behavioral Decision Making
• ECON 137: Decision Modeling and Information
• OB 381: Conflict Management and Negotiation
• PUBLPOL 306: Writing and Rhetoric for Policy Audiences *Requirement for MPP students only; MA students may take as an elective (4 units)
• PUBLPOL 307: Justice (4 units)
• PUBLPOL 308: Political Analysis for Policymakers (4 units)
• PUBLPOL 311: Public Policy Colloquium (3 units)

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Interdisciplinary Doctoral Program in Statistics

The Interdisciplinary Doctoral Program in Statistics is an opportunity for students in a multitude of disciplines to specialize at the doctoral level in a statistics-grounded view of their field. Participating programs include Aeronautics and Astronautics, Brain and Cognitive Sciences, Economics, Mathematics, Mechanical Engineering, Physics, Political Science, and the IDSS Social and Engineering Systems Doctoral Program.

The program is administered jointly by the Statistics and Data Science Center and the participating academic units. Students enrolled in a doctoral program in a participating department may choose to be considered for the Interdisciplinary Doctoral Program in Statistics. Please refer to the program's website for details on the selection process.

Selected students will complete the home department’s degree requirements (including the qualifying exam) along with specified statistics requirements including a doctoral seminar, coursework in probability, statistics, computation and statistics, and data analysis, and a dissertation that utilizes statistical methods in a substantial way. 

For more information about the program, contact the Statistics Academic Administrator .

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PhD Program

Wharton’s PhD program in Statistics provides the foundational education that allows students to engage both cutting-edge theory and applied problems. These include problems from a wide variety of fields within Wharton, such as finance, marketing, and public policy, as well as fields across the rest of the University such as biostatistics within the Medical School and computer science within the Engineering School.

Major areas of departmental research include: analysis of observational studies; Bayesian inference, bioinformatics; decision theory; game theory; high dimensional inference; information theory; machine learning; model selection; nonparametric function estimation; and time series analysis.

Students typically have a strong undergraduate background in mathematics. Knowledge of linear algebra and advanced calculus is required, and experience with real analysis is helpful. Although some exposure to undergraduate probability and statistics is expected, skills in mathematics and computer science are more important. Graduates of the department typically take positions in academia, government, financial services, and bio-pharmaceutical industries.

Apply online here .

Department of Statistics and Data Science

The Wharton School, University of Pennsylvania Academic Research Building 265 South 37th Street, 3rd & 4th Floors Philadelphia, PA 19104-1686

Phone: (215) 898-8222

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Curriculum and Thesis

In their first and second years, PhD students are required to complete a series of core classes, coursework in their major and minor fields of study, and an advanced research methods course before proceeding to the thesis-writing stage.

Core courses

Students must satisfy the requirements in at least 10 of 12 half-semester first-year core courses (14.384 and 14.385 are considered second-year courses). The requirements can be met by earning a grade of B or better in the class or by passing a waiver exam.

Waiver exams are offered at the start of the semester in which the course is offered and graded on a pass-fail basis. Students who receive a grade of B- or below in a class can consult the course faculty to determine whether to take the waiver exam or re-take the course the following year. These requirements must all be satisfied before the end of the second year.

Course list

• 14.121: Microeconomic Theory I
• 14.122: Microeconomic Theory II
• 14.123: Microeconomic Theory III
• 14.124: Microeconomic Theory IV
• 14.380: Statistical Methods in Economics
• 14.381: Estimation and Inference for Linear Causal and Structural Models
• 14.382*: Econometrics
• 14.384*: Time Series Analysis (2nd year course)
• 14.385*: Nonlinear Econometric Analysis (2nd year course)
• 14.451: Dynamic Optimization Methods with Applications
• 14.452: Economic Growth
• 14.453: Economic Fluctuations
• 14.454: Economic Crises

*Courses 14.382, 14.384, and 14.385 are each counted as two half-semester courses.

Most students will also take one or more field courses (depending on whether they are waiving core courses) during their first year. Feel free to ask your graduate research officer, field faculty, and advanced students for advice on how you structure your first-year coursework.

Second year students must also successfully complete the two-semester course 14.192: Advanced Research Methods and Communication. The course, which is graded on a pass-fail basis, guides students through the process of writing and presenting the required second-year research paper.

Major field requirement

By the end of year two, PhD students must complete the requirements for two major fields in economics. This entails earning a B or better in two designated courses for each field. Some fields recommend additional coursework or papers for students intending to pursue research in the field.

Major fields must be declared by the Monday following the spring break of your second year. Your graduate registration officer must approve your field selections.

Minor field requirement

PhD students are also required to complete two minor fields, taking two courses in each field and earning a grade of B or better. Your graduate registration officer must approve your field selections.

Minor coursework is normally completed by the end of year two, but in some cases students can defer the completion of one field until after general exams. Students must consult with their graduate registration officer before making a deferment.

Options for minor fields include the eleven economics major fields, plus computation and statistics (from the interdisciplinary PhD in Economics and Statistics).

Students who wish to satisfy one of the minor field requirements by combining two courses from different fields–for example, environmental economics and industrial organization II–can petition the second-year graduate registration officer for permission.

At least one minor field should be from the department’s standard field list.

The fields in which the Department offers specialization and the subjects that will satisfy their designation as a minor field are given in the chart below. Some fields overlap so substantially that both cannot be taken by a student. In any event, the same subject cannot be counted towards more than a single minor field. Students must receive the approval of their Graduate Registration Officer for their designated major and minor fields.

List of fields

• Development
• Econometrics
• Industrial organization
• International
• Macroeconomics
• Organizational
• Political economy
• Public finance
• Computation and statistics (minor only)

Subjects satisfying major and minor requirements

Advanced economic theory.

Minor: Any subset adding up to two full semesters from 14.125, 14.126, 14.127, 14.130, 14.137, 14.147, 14.160, 14.281 and Harvard Ec 2059. Major: At least two of 14.125, 14.126, 14.281, and Harvard Ec 2059. Recommended for major: 14.126, 14.281, and at least one of 14.125, 14.127, 14.130, 14.147, and Harvard Ec 2059.

Econometrics and Statistics

Minor: 14.382 in addition to one of 14.384 or 14.385. Major: Any one of 14.386, 14.387, 14.388 in addition to one of 14.384 or 14.385. Recommended for major: 14.384 and 14.385. *Dual PhD in Economics and Statistics has an additional requirement of 14.386.

Economic Development

Major and minor: 14.771 and 14.772 or 14.773

Minor: Any two of 14.416J, 14.440J, 14.441J, 14.442J, 14.448. Major: 14.416J and 14.441J

Industrial Organization

Minor: 14.271 and 14.272 or 14.273. Major: 14.271 and 14.272 or 14.273. Recommended for major: 14.271, 14.272, and 14.273.

International Economics

Major and minor: 14.581 and 14.582

Labor Economics

Major: 14.661 and 14.662A. Minor: Two subjects chosen from 14.193, 14.661, and 14.662

Monetary Economics

Major and minor: Two subjects chosen from 14.461, 14.462, and 14.463

Organizational Economics

Major and minor: 14.282 and one of 14.283-284, 14.441J, or an approved substitute

Political Economy

Major and minor: 14.770 and 14.773

Public Economics

Major and minor: 14.471 and 14.472

General exams

MIT requires doctoral candidates to complete an advanced course of study that includes general exams at its completion. Beginning in 2019-20, the Economics Department will operationalize this requirement to include successful completion of: the core and other required courses; course exams and other requirements of courses in each of a student’s two major and two minor fields; the written research paper and oral presentation components of 14.192. Students may present for the general exams while having one remaining minor field to complete. The faculty will review these components together with the candidate’s overall course record to determine whether students have passed the general exam requirement and can proceed to the thesis writing stage.

Typical course schedule

Math Camp begins on the second Monday in August.

Fall Semester

14.121/14.122 (Micro Theory I/II) 14.451/14.452 (Macro Theory I/II) 14.380/14.381 (Statistical Method in Economics & Applied Econometrics) Field Course (major or minor)

Spring Semester

14.123/14.124 (Micro Theory III/IV) 14.453/14.454 (Macro Theory III/IV) 14.382 (Econometrics) Field Course (major or minor)

2-3 Field Courses 14.192 (Advanced Research and Communication) 14.384  or  14.385 (Advanced Econometrics)

3 Field Courses 14.192 (Advanced Research and Communication)

Years 3 and up

Field workshop Field lunch Thesis writing

Upon satisfying the core and field requirements, PhD candidates embark on original research culminating in a completed dissertation. A PhD thesis normally consists of three research papers of publishable quality. The thesis must be approved by a student’s primary and secondary thesis advisors, and by an anonymous third reader. These three faculty members will be the candidate's thesis committee and are responsible for its acceptance. Collaborative work is acceptable and encouraged, but there must be at least one paper in the dissertation without a co-author who was a faculty member when the research started.

Criteria for satisfactory progress

Third-year students.

• Meet regularly with their advisor
• Participate consistently in their primary field advising lunch, their primary field workshop, and the third-year student research lunch
• Complete their third-year paper
• Participate in third-year meetings organized by the thesis graduate research officer

Students should present on their research in progress at least once in both the third-year student research lunches and their field advising lunch. Presentations provide opportunities for early and broad feedback on research ideas and the chance to develop oral presentation skills. Research ideas or early stage work in progress is encouraged and expected.

Fourth-year and later students

• Participate consistently in their primary field advising lunch and their primary field workshop
• Present at least once per year in their field advising lunch or field workshop. A presentation each semester in the field advising lunch is strongly recommended by most fields; consult your advisors for more information

Satisfactory progress toward a dissertation will be evaluated based on progress assessments by the student’s primary advisor, regular participation in the lunches and workshops, and field lunch or workshop presentations that show continued progress.

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Business Economics

The Joint PhD degree in Business and Economics is an interdisciplinary degree with the Ross School of Business . Students in the program complete the required courses in microeconomic and macroeconomic theory, statistics and econometrics along with specialized courses in business economics.  The program provides a comprehensive perspective on microeconomics and its application to issues pertaining to the conduct and performance of business in the US and around the world. For more about the program, please visit the full website here .

Public Policy & Economics

The Joint PhD Program in Economics and Public Policy is a collaborative effort between the University of Michigan's departments of Economics and the Gerald R. Ford School of Public Policy . Analogous to the joint degree with business, students in the program complete the required courses in microeconomic and macroeconomic theory, statistics and econometrics. In addition to these courses, first and second year students attend a biweekly seminar series that is intended to introduce students to applied policy research early in their doctoral career. Joint students will select public policy as their second field of specialization. For more about the joint degree in Public Policy, please visit the full website here .

Individually Interdependent Degree Program (IIDP)

In addition to the established dual degrees mentioned above, students have the option of creating an Individually Interdepartmental Degree program (IIDP), also known as the Student Initiated Degree Program (SIDP), with other programs at the University of Michigan. For information about this option, please see the Rackham Website. Please also view our Economics IIDP Policy Guide Sheet for departmental requirements.

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PhD Joint Program in Financial Economics

The financial economics phd program leverages the strengths of two renowned programs: the phd program in finance and the university of chicago’s kenneth c. griffin department of economics..

Core economics training is critical for students doing research in financial economics, and advances in financial economics have important implications for other areas of economics.

As a student in our Joint Program in Financial Economics , you’ll work with thought leaders in both economics and finance and follow your research interests wherever they lead. Leveraging courses and resources in the Finance dissertation area at Chicago Booth and the university’s Kenneth C. Griffin Department of Economics , you’ll build a foundation for research at the intersection of finance and economics.

Our Distinguished Finance and Economics Faculty

As a student in the joint program, you’ll work with professors and classmates in both the Department of Economics and the Stevens Doctoral Program in Finance at Chicago Booth. Faculty bring research expertise in a wide range of fields and serve as mentors to PhD students.

Finance Faculty

Francesca Bastianello

Assistant Professor of Finance and Liew Family Junior Faculty Fellow, Fama Faculty Fellow

Emanuele Colonnelli

Associate Professor of Finance and MV Advisors Faculty Fellow

George M. Constantinides

Leo Melamed Professor of Finance

Douglas W. Diamond

Merton H. Miller Distinguished Service Professor of Finance

Eugene F. Fama

Robert R. McCormick Distinguished Service Professor of Finance

Niels Gormsen

Neubauer Family Associate Professor of Finance and Fama Faculty Fellow

Lars Hansen

David Rockefeller Distinguished Service Professor The University of Chicago Departments of Economics, Statistics and the Booth School of Business

John C. Heaton

Joseph L. Gidwitz Professor of Finance

Steven Neil Kaplan

Neubauer Family Distinguished Service Professor of Entrepreneurship and Finance and Kessenich E.P. Faculty Director at the Polsky Center for Entrepreneurship and Innovation

Anil Kashyap

Stevens Distinguished Service Professor of Economics and Finance

Ralph S.J. Koijen

AQR Capital Management Distinguished Service Professor of Finance and Fama Faculty Fellow

Associate Professor of Finance and Fama Faculty Fellow

Stefan Nagel

Fama Family Distinguished Service Professor of Finance

Scott Nelson

Assistant Professor of Finance and Cohen and Keenoy Faculty Scholar

Pascal Noel

Neubauer Family Associate Professor of Finance and Kathryn and Grant Swick Faculty Scholar

Lubos Pastor

Charles P. McQuaid Distinguished Service Professor of Finance and Robert King Steel Faculty Fellow

Raghuram G. Rajan

Katherine Dusak Miller Distinguished Service Professor of Finance

Bruce Lindsay Distinguished Service Professor of Economics and Public Policy

Pietro Veronesi

Deputy Dean for Faculty and Chicago Board of Trade Professor of Finance

Robert W. Vishny

Myron S. Scholes Distinguished Service Professor of Finance and Neubauer Faculty Director of the Davis Center

Michael Weber

Associate Professor of Finance

Constantine Yannelis

Associate Professor of Finance and FMC Faculty Scholar

Anthony Lee Zhang

Assistant Professor of Finance

Luigi Zingales

Robert C. McCormack Distinguished Service Professor of Entrepreneurship and Finance

Department of Economics Faculty

Fernando Alvarez

Ali Hortacsu

Harald Uhlig

Kenneth C. Griffin Department of Economics

Alumni success.

Our PhD graduates lead successful careers  in prestigious academic settings, such as the Stanford Graduate School of Business and London Business School, as well as in leading financial institutions, including the International Monetary Fund.

Jane (Jian) Li, PhD '21

Assistant Professor of Business, Finance Division Columbia Business School, Columbia University Jane's research lies at the intersection of macroeconomics and finance. She is particularly interested in how financial intermediaries affect the real economy and how different types of financial institutions can contribute to financial instability. Her dissertation area is in financial economics.

A Network of Support

Doctoral students at Booth have access to the resources of several interdisciplinary research centers that offer funding for student work, host workshops and conferences, and foster a strong research community.

Becker Friedman Institute for Economics Bringing together researchers from the entire Chicago economics community, the Becker Friedman Institute fosters novel insights on the world’s most difficult economic problems.

Center for Research in Security Prices CRSP maintains one of the world’s largest and most comprehensive stock market databases. Since 1963, it has been a valued resource for businesses, government, and scholars.

Fama-Miller Center for Research in Finance Tasked with pushing the boundaries of research in finance, the Fama-Miller Center provides institutional structure and support for researchers in the field.

George J. Stigler Center for the Study of the Economy and the State Dedicated to examining issues at the intersection of politics and the economy, the Stigler Center supports research by PhD students and others who are interested in the political, economic, and cultural obstacles to better working markets.

The Kent A. Clark Center for Global Markets Enhancing the understanding of business and financial market globalization, the Clark Center for Global Markets positions Chicago Booth as a thought leader in the understanding of ever-changing markets and improves financial and economic decision-making around the world.

Macro Finance Research Program The Macro Finance Research Program (MFR) expands our understanding of how financial markets affect the economy as a whole and, conversely, how the macroeconomy influences financial markets. It does so by bringing together a community of elite and emerging scholars and with common ambitions to tackle these important challenges. One of the important ambitions of this program is to provide intellectual and research support for advanced students in the joint PhD program in financial economics.

Rustandy Center for Social Sector Innovation Committed to making the world more equitable and sustainable, the Rustandy Center works to solve complex social and environmental problems. The center’s student support includes fellowships, research funding, and networking opportunities.

Spotlight on Research

Chicago Booth Review regularly highlights the research findings of Booth faculty and PhD students in financial economics.

Line of Inquiry: Amir Sufi on Household Debt and Business Cycles

Chicago Booth’s Amir Sufi explains how the financial sector's willingness to extend credit to households helps fuel booms and busts.

How is IT Spending Changing Banking?

According to researchers Zhiguo He (previous Booth prof.), Sheila Jiang and Douglas Xu (both Booth PhD graduates), and Xiao Yin, IT investment figures prominently in banking activities.

How Can We Calculate the US's Greatest Fortunes?

Chicago Booth’s Eric Zwick and his coauthors have devised a new way to gauge how much wealth the ultrawealthy have and what it’s composed of. Their results can help update and sharpen the picture of inequality in the US.

The PhD Experience at Booth

Maryam Farboodi, PhD ’14, talks about how the Booth faculty challenged her to focus her research on issues that are applicable to the current financial sector.

Video Transcript

Maryam Farboodi, ’14: 00:02 My work lies in the intersection of finance and economics, trying to apply theoretical models to think about broader questions in big data technology. I was doing extremely theoretical research and I was always interested in doing stuff which are more related to the real world, which led me to join Chicago econ and then the Joint Financial Economics Program at Chicago Booth.

Maryam Farboodi, ’14: 00:29 The faculty really helped me focus my research on issues that are relevant to the current financial climate. A lot of current policy focuses on how financial institutions intermediate for each other and that has been the focus of my research. The faculty at Chicago Booth challenged me in making sure that the insight is applicable to the current financial sector.

Maryam Farboodi, ’14: 00:52 What is really, really special about Booth is the really close interaction between the faculty here and the econ department. Chicago Booth, in particular the joint program, is the best place you can be in. It provides an environment where you can interact with people who are extremely deep in both finance and economics and not lose track of important issues. Chicago Booth and Econ has really being like home to me. That's the feeling that any student can get if they really engage themselves with faculty. 

Current Financial Economics Students

Students in Chicago Booth’s Joint Program in Financial Economics focus their PhD research on a vast array of issues, from state-government borrowing costs to wealth inequality to climate policy. They go on to positions at leading academic institutions and global financial organizations.

Current Students

Monica Barbosa

Filippo Cavaleri

Sixun Chang

Manav Chaudhary

Shirui (Suri) Chen Leo Aparisi De Lannoy

Laurenz De Rosa

Joanna Harris Jacob Hartwig

Lewei He Tanvi Jindal

Jingoo Kwon

Federico Mainardi

Benjamin Marrow

Sangmin (Simon) Oh

Michael Varley

Jingtao Zheng

See a list of the current students in our Finance PhD Program .

How to Apply

To join the Joint Program in Financial Economics, you will need to be admitted to both the doctoral program in the Department of Economics and the PhD Program in Finance at Chicago Booth. However, you need only apply to one or the other program. Learn more about applying to Chicago Booth or to the Department of Economics .

Program Requirements

Learn more about the Joint Program in Financial Economics at Chicago Booth on the website or by referencing the joint program-specific guidebook below. See Joint Program-Specific Guidebook

General Program Expectations and Requirements

The Stevens Program at Booth is a full-time program. Students generally complete the majority of coursework and examination requirements within the first two years of studies and begin work on their dissertation during the third year. For details, see General Examination Requirements by Area in the Stevens Program Guidebook below.

Download the 2023-2024 Guidebook!

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Joint ph.d. degree programs.

The Department of Statistics has joint PhD degree programs with Agricultural Economics, Agronomy, Animal Science, Economics, Horticulture, and Natural Resources.

Agricultural Economics and Statistics

Agronomy, horticulture, and statistics, animal science and statistics, economics and statistics, natural resource sciences and statistics, entrance requirements.

A student may apply to the joint program as a new student or as a current student from one of the individual programs. Admission must be approved by the Graduate Chairs from both departments. Students entering the joint program are expected to meet the admission requirements for the Agricultural Economics PhD program and the Statistics PhD program. Students without these requirements can be provisionally accepted into the joint PhD program but must remove any deficiencies within the first year. This provisional status will be removed when all provisions are satisfied.

Supervisory Committee

Equal numbers of faculty from each department must serve on the Committee. This Committee consists of two advisors and two readers, where each department needs to be represented by an advisor and a reader. A faculty member cannot serve as both an advisor and a reader. The Committee composition needs to be approved by the Graduate Chairs from both departments

Program of Studies

The following courses must be included on the Program of Studies:

• Statistics: All core courses from the MS in Statistics program; 15 additional credit hours of 900-level courses, excluding STAT 997 and STAT 999
• Agricultural Economics: ECON 957, 958, 959, 973, 974, and 983; two courses from the AECN 901 offerings and two courses from the AECN 902 offerings

Dissertation

The dissertation will be developed under the supervision of the advisors on a topic approved by the student’s Supervisory Committee. Students are expected to make meaningful research contributions to both Agricultural Economics and Statistics.

Examinations

Students need to pass the following exams:

• The PhD Qualifying and PhD Comprehensive Exams required for a Statistics-only major and for an Agricultural Economics-only major
• The Final Oral Exam over the dissertation research

A student may apply to the joint program as a new student or as a current student from one of the individual programs. Admission must be approved by the Graduate Chairs from both departments. Students entering the joint program are expected to meet the admission requirements for the Agronomy and Horticulture PhD program and the Statistics PhD program. Students without these requirements can be provisionally accepted into the joint PhD program but must remove any deficiencies within the first year. This provisional status will be removed when all provisions are satisfied.

Equal numbers of faculty from each department must serve on the Committee. This Committee consists of two advisors and two readers, where each department needs to be represented by an advisor and a reader. A faculty member cannot serve as both an advisor and a reader. The Committee composition needs to be approved by the Graduate Chairs from both departments.

• Agronomy and Horticulture: AGRO 992 (enrolled in twice)

The dissertation will be developed under the supervision of the advisors on a topic approved by the student’s Supervisory Committee. Students are expected to make meaningful research contributions to Agronomy, Horticulture, and Statistics.

• The PhD Qualifying and PhD Comprehensive Exams required for a Statistics-only major
• The PhD Comprehensive Exam for a Agronomy and Horticulture-only major with requirements determined by the Supervisory Committee

A student may apply to the joint program as a new student or as a current student from one of the individual programs. Admission must be approved by the Graduate Chairs from both departments. Students entering the joint program are expected to meet the admission requirements for the Animal Science PhD program and the Statistics PhD program. Students without these requirements can be provisionally accepted into the joint PhD program but must remove any deficiencies within the first year. This provisional status will be removed when all provisions are satisfied.

• Animal Science: ASCI 861U, ASCI 861V, ASCI 861W, ASCI 862U, ASCI 931, and ASCI 944/STAT 844
• Electives: Two 800-level and/or 900-level relevant courses that total at least 5 credit hours and exclude Doctoral Dissertation (e.g., STAT 999 and ASCI 999)

The dissertation will be developed under the supervision of the advisors on a topic approved by the student’s Supervisory Committee. Students are expected to make meaningful research contributions to both Animal Science and Statistics.

• The PhD Comprehensive Exam for an Animal Science-only major with requirements determined by the Supervisory Committee

This joint program allows a student to earn an interdisciplinary Ph.D. in the fields of Statistics and Economics. Students obtaining this degree are expected to make meaningful research contributions in both fields. The student’s program is overseen by a four-person Supervisory Committee that is comprised of two faculty members from each department. This committee is co-chaired by a faculty member from each department. The committee also consists of two readers with one reader from each department. A faculty member cannot serve as both a reader and a co-chair of the committee.

A student may apply to the joint program as a new student or as a current student from one of the individual programs. Admission must be approved by the Graduate Chairs from both departments. As a general guide, students considered for the program should demonstrate backgrounds of sufficient strength to warrant entrance into the Ph.D. programs of both departments.

Students entering the joint program are expected to have intermediate level training in Economics (both macroeconomics and microeconomics) and adequate mathematical background, including three semesters of calculus, a course in linear algebra, and a course in mathematical statistics.

Ph.D. qualifying exam

Students are required to pass the Ph.D. qualifying exams of both departments.

The program of study must consist of at least 90 credit hours. The following courses must be included, unless credit has been granted for equivalent courses taken elsewhere:

• Statistics: 810, 821, 822, 823, 825, 850, 882, 883, 950, 980, 982, 983, and 984. Students may substitute 981 for 984 if desired.
• Economics: 911A, 911B, 912A, 912B, 917, 918, 919, 920, and at least two 900-level Economics courses in a field other than econometrics.

Ph.D. comprehensive exam

The Statistics component of the exam is a dissertation proposal that is presented in an open forum. This is followed by an oral defense conducted by the Supervisory Committee. The Economics component of the exam involves the completion of an original research paper in a field other than econometrics that is in the form of a journal article. An oral defense of that research paper is given by the Supervisory Committee. This oral defense is not limited to the research paper but also examines the student’s breadth of understanding of that field. The Supervisory Committee gives a Pass/No Pass grade for all components of the exam.

The dissertation is developed under the supervision of the co-advisors on a topic approved by the student’s Supervisory Committee, and it is expected to make an original contribution to both Statistics and Economics.

Final oral exam

After the dissertation is completed, the student takes a final oral exam. For this exam, students present their dissertation research to the university in an open forum. This is followed by an oral defense conducted by the student’s Supervisory Committee. This committee gives a Pass/No Pass grade.

A student may apply to the joint program as a new student or as a current student from one of the individual programs. Admission must be approved by the Graduate Chairs from the School of Natural Resources (SNR) and the Department of Statistics. Students entering the joint program are expected to meet the admission requirements for the Natural Resource Sciences PhD program and the Statistics PhD program. Students without these requirements can be provisionally accepted into the joint PhD program but must remove any deficiencies within the first year. This provisional status will be removed when all provisions are satisfied.

Equal numbers of faculty from SNR and the Department of Statistics must serve on the Committee. This Committee consists of two advisors and two readers, where SNR and the Department of Statistics need to be represented by an advisor and a reader. A faculty member cannot serve as both an advisor and a reader. The Committee composition needs to be approved by both Graduate Chairs.

• SNR: At least 15 hours of Natural Resource Sciences courses as determined by the Supervisory Committee

The dissertation will be developed under the supervision of the advisors on a topic approved by the student’s Supervisory Committee. Students are expected to make meaningful research contributions to both Natural Resource Sciences and Statistics.

• The PhD Comprehensive Exam for a Natural Resources Sciences-only major with requirements determined by the Supervisory Committee

Tepper School of Business

Economics and Public Policy

Within the Tepper School, Ph.D. students are not required to take courses, but they are required to pass qualifying examinations. Tepper School students (those in this joint program who matriculate through the Tepper School) take the following qualifying examinations:

• Microeconomics
• Econometrics
• Macroeconomics
• Public Economics

The microeconomics and macroeconomics qualifying exams are the same exams that all Tepper School Economics Ph.D. students take. The microeconomics exam covers Microeconomics I, Microeconomics II, Game Theory and Applications, and Economics of Contracts. The macroeconomics exam covers Macroeconomics I, Dynamic Competitive Analysis, and Computational Methods for Economics. Students in the joint program may satisfy the econometrics requirement in one of two ways. They may take the Tepper School qualifying examination in econometrics, or they may take the Heinz quantitative requirements course sequence and take a qualifying examination based on that course sequence.

Students with appropriate preparation prior to their entry to the program may choose to take the qualifying exams prior to the third semester, however, they must take the entire set of qualifiers as outlined above.

Commentary on Course Requirements

In large measure, the course requirements combine those of the separate programs. The changes are as follows:

Tepper School:

• Students will have the flexibility to take either the Tepper School’s or Heinz’s econometrics sequences.
• The research seminar requirement is reduced from a two to one course requirement. We anticipate that Public Economics will be taught in research seminar format. Further, we wanted to reduce the course work demands in an already demanding curriculum. Note that the research seminar requirement is similarly reduced in the joint statistics Ph.D. program.

P lease visit our Ph.D. Student Profiles page t o view the profiles of our current doctoral candidates. 

Program details.

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Doctor of Philosophy in Statistics

Program description.

The Statistics PhD degree curriculum at The University of Texas at Dallas offers extensive coursework and intensive research experience in theory, methodology and applications of statistics. During their study, PhD students acquire the necessary skills to prepare them for careers in academia or in fields that require sophisticated data analysis skills.

The PhD program is designed to accommodate the needs and interests of the students. The student must arrange a course program with the guidance and approval of the graduate advisor. Adjustments can be made as the student’s interests develop and a specific dissertation topic is chosen.

Some of the broad research areas represented in the department include: probability theory, stochastic processes, statistical inference, asymptotic theory, statistical methodology, time series analysis, Bayesian analysis, robust multivariate statistical methods, nonparametric methods, nonparametric curve estimation, sequential analysis, biostatistics, statistical genetics, and bioinformatics.

Career Opportunities

Statisticians generally find employment in fields where there is a need to collect, analyze and interpret data — including pharmaceutical, banking and insurance industries, and government — and also in academia. The job of a statistician consistently appears near the top in the rankings of 200 jobs by CareerCast’s Jobs Rated Almanac based upon factors such as work environment, income, hiring outlook and stress.

For more information about careers in statistics, view the career page of American Statistical Association. UT Dallas PhD graduates are currently employed as statisticians, biostatisticians, quantitative analysts, managers, and so on, and also as faculty members in universities.

The  NSM Career Success Center  is an important resource for students pursuing STEM and healthcare careers. Career professionals are available to provide strategies for mastering job interviews, writing professional cover letters and resumes and connecting with campus recruiters, among other services.

Marketable Skills

Review the marketable skills for this academic program.

Application Deadlines and Requirements

The university  application deadlines apply with the exception that, for the upcoming Fall term, all application materials must be received by December 15 for first-round consideration of scholarships and fellowships. See the  Department of Mathematical Sciences graduate programs website  for additional information. 

Visit the  Apply Now  webpage to begin the application process. 

Contact Information

For more information, contact [email protected]

School of Natural Sciences and Mathematics The University of Texas at Dallas 800 W. Campbell Road Richardson, TX 75080-3021 Phone: 972-883-2416

nsm.utdallas.edu

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Dual Degree in Economics (M.A.) and Data Science (M.S.)

The dual degree in economics (M.A.) and data science (M.S.) enables students to gain a deeper understanding of economic theory and computational methods while having the time and expertise to engage in research projects that link data science and economics. The dual degree requires 15 courses (45 credits), which can be taken sequentially or concurrently.

Economics (M.A.)

Data science (m.s.).

You can use the CIP code to learn more about career paths associated with this field of study and, for international students, possible post-graduation visa extensions. Learn more about CIP codes and other information resources .

The dual degree in economics (M.A.) and data science (M.S.) has the same admissions requirements as the M.A. in economics and the M.S. in data science.

These requirements are:

• completed online application
• three letters of recommendation for non-Fordham students; two for Fordham students
• official transcripts from all prior undergraduate and/or graduate institutions
• statement of intent
• official GRE test scores
• official TOEFL or IELTS scores for non-native English speakers.

Students will initially be admitted to either the M.A. in economics or the M.S. in data science and then apply for the dual degree (the other M.A./M.S.) once they are approximately 18 credits into their graduate study (i.e., completed four courses and are currently registered for at least two more).

Application to the second degree will only require an application form, a short statement of intent, and transcripts, with no fee for the application.

Economics Prerequisites

An undergraduate degree in a field emphasizing economics and/or quantitative skills is expected, such as a degree in economics or international political economy, or a degree in math, finance, psychology, computer science, or business with a minor in economics. The following courses or equivalent should be taken prior to beginning the M.A. in economics program:

• Intermediate-level Macroeconomics and Microeconomics
• Math for Economists OR Calculus I and Linear Algebra
• Statistics I and Statistics II (Statistical Decision Making)

If these classes were not completed with a previous degree, then the required classes will be added to a student's admission. These classes must be taken in the first semester or prior to beginning the program (e.g., during the summer or the previous semester).

Data Science Prerequisites

• Applicants with undergraduate degrees in non-computer science areas are welcome.
• An undergraduate degree in a field emphasizing quantitative skills is expected, such as a degree in computer science, information science, engineering, math, physical science, health science, business, economics, psychology, social science, or urban and city planning.
• Knowledge of discrete math, probability, and statistics, including permutations, combinations, descriptive statistics, and basic probability concepts.
• Basic programming knowledge and familiarity with Python programming are expected. This knowledge can be acquired via completion of CISC 5380 Programming with Python .

Admitted students  who seek to bypass   CISC 5380 Programming with Python   must take  a placement examination, which is administered by the department prior to the beginning of each entry term. The exam covers the fundamentals of Python programming language. Students who earn a grade lower than a B are required to enroll in CISC 5380 Programming with Python in their first semester of study. This bridge course can be taken concurrently with courses that fulfill degree requirements.

The requirements for the Dual Degree in Economics (M.A.) and Data Science (M.S.) are as follows:

See below lists for courses that may fulfill this requirement. For students who did not complete an undergraduate major in economics and are pursuing this dual-degree program, ECON 5012 Foundations of Economics may also count as an economics elective.

Students completing two semesters of data science thesis (6 credits) may complete one fewer 3-credit data science elective.

Any course that counts as an economics or data science elective may fulfill this requirement.

Applied Microeconomics elective courses

Courses in this group have the EDAM attribute.

Finance elective courses

Courses in this group have the EDFI attribute.

Specialized Topics elective courses

Courses in this group have the EDST attribute.

Data Science elective courses

Courses in this group have the EDDS attribute.

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Department of Economics

• Undergraduate
• Concentrations

Applied Mathematics-Economics Concentration

Economics offers joint concentrations with Applied Math, Computer Science, and Mathematics. The philosophy of this program is to provide sufficient command of mathematical concepts to allow pursuit of an economics program emphasizing modern research problems. Economic theory has come to use more and more mathematics in recent decades, and empirical research in economics has turned to sophisticated statistical techniques. The applied mathematics-economics concentration is designed to reflect the mathematical and statistical nature of modern economic theory and empirical research.

This concentration comes in two flavors, or tracks. The first is the advanced economics track, which is intended to prepare students for graduate study in economics. The second is the mathematical finance track, which is intended to prepare students for graduate study in finance, or for careers in finance or financial engineering. Both tracks of the applied mathematics-economics concentration have A.B. degree versions and Sc.B. degree versions. Also note that for each degree version and track there is a  parallel professional track , which differs from the regular track by requiring completion of two internship or similar experiences. 

It is strongly recommended to those considering applying to a Ph.D. program in economics to write an  honors thesis  or at least to conduct some research with a faculty member that can be credited as a  senior capstone project .  Doing so will help the student obtain a better sense of what scholarly research in economics is like, and should have the extra benefit of leading to a relationship with a faculty member who will know you well enough to write a letter of recommendation for you, an important part of your application package.  We encourage all students in this concentration to write a thesis or complete a capstone project.

Requirements

• A.B. degree in Advanced Economics track
• Sc.B. degree in Advanced Economics track
• A.B. degree in Mathematical Finance track
• Sc.B. degree in Mathematical Finance track

Computer Science-Economics Concentration

The joint computer science-economics concentration exposes students to both theoretical and practical connections between computer science and economics. The intent of this concentration is to prepare students for either academic careers conducting research in areas that emphasize the overlap between the two fields; or professional careers that incorporate aspects of economics and computer technology.

The concentration is offered in two versions, the  A.B.  and the  Sc.B. While the A.B. degree allows students to explore the two disciplines by taking advanced courses in both departments, its smaller number of required courses is compatible with a liberal education. The Sc.B. degree achieves greater depth in both computer science and economics by requiring more courses, and it offers students the opportunity to creatively integrate both disciplines through a design requirement. Also note that for each degree version there is a  parallel professional track , which differs from the regular track by requiring completion of two internship or similar experiences.

• A.B. degree
• Sc.B. degree 

Mathematics-Economics Concentration

Designed to give a background in economic theory plus the mathematical tools needed to analyze and develop additional theoretical constructions. Emphasis is on the abstract theory itself. Like the Applied Math – Economics concentration, this concentration can also prepare a student to go on to the study of economics at the graduate level. Concentrators are urged to write an  honors thesis  or engage in a  capstone research project . 

Joint Ph.D. Programs

Carnegie Mellon University is a global leader in innovation, championing interdisciplinary inquiry and deeply collaborative problem-solving. Heinz College offers the following joint Public Policy Ph.D. programs, in cooperation with other departments on campus.

The Joint Ph.D. Programs in Public Policy are tailored toward students who have both policy and core-disciplinary interests.

Joint Ph.D. students not only complete disciplinary training, but they also work on applying those theories and methods to matters of public interest (such as crime prediction and prevention, cybersecurity and privacy, education policies, or technological change in society, for example).

These programs are rigorous and highly selective. Students who have strong disciplinary backgrounds—and who also wish to bring those disciplines to bear on public policy problems—are encouraged to apply.

Program Areas

Interest in any of the Joint Ph.D. Programs should be indicated on your application to Heinz College. See Ph.D. Admissions for more information.

Heinz College / Tepper School of Business

Acquire in-depth training in economics, quantitative methods, and substantive policy areas. Students interested in labor, education, and trade policies should strongly consider this program.

Key Heinz Faculty

• Lee Branstetter
• Martin Gaynor
• Edson Severnini
• Lowell Taylor
• Brian Kovak

Examination requirements

Ph.D. in Economics & Public Policy students are not required to take courses at Tepper, but they are required to pass the following qualifying examinations:

• Microeconomics
• Macroeconomics
• Econometrics
• Public Economics

Microeconomics exam covers: Microeconomics I, Microeconomics II, Game Theory and Applications, and Economics of Contracts.

Macroeconomics exam covers Macroeconomics I, Dynamic Competitive Analysis, and Computational Methods for Economics.

NOTE: The Microeconomics and Macroeconomics qualifying exams are the same exams that all Tepper Economics PhD students take.

Econometrics requirement can be satisfied in two ways: They may take the Tepper qualifying examination in Econometrics, or they may take the Heinz quantitative requirements course sequence and take a qualifying examination based on that course sequence.

Students with appropriate preparation prior to their entry to the joint program may choose to take the qualifying exams prior to the third semester.

Course Requirements

The course requirements for the joint program combine those of the separate programs, with the following differences:

• Students have the flexibility to take econometrics sequences at Tepper or Heinz, and can also take certain courses in econometrics/statistical methods within the Department of Statistics.
• The Heinz research seminar requirement is reduced from a two-course requirement to a one-course requirement. Public Economics is typically taught in research seminar format.

Heinz College / School of Computer Science

The Joint Ph.D. Program in Machine Learning & Public Policy is a program for students to gain the skills necessary to develop new state-of-the-art machine learning technologies and apply these successfully to real-world policy issues. Students are expected both to make fundamental contributions to the science of machine learning as well as addressing core problems in one or more policy domains.

• Leman Akoglu
• Jeremy Weiss
• George Chen

Program Requirements

Students interested in the joint Ph.D. in Machine Learning & Public Policy must first gain admission to and enroll in either the Ph.D. in Public Policy and Management program or  the Ph.D. in Information Systems and Management at Heinz College. Students should apply to the program most closely aligned with their main research interests. Students may apply to the joint program only after beginning their Ph.D studies at Heinz College. Click here for more details on Ph.D. admissions .

• Heinz College Ph.D. students should express their interest early to their Heinz College advisor to plan appropriately for applying to the ML program.
• Completion of the  five ML Core courses , with an average GPA of 3.5
• Completion of a Data Analysis Project, satisfied within the student's home department.
• Serve once as a Teaching Assistant for the Machine Learning Department

The Joint Ph.D. thesis committee must include one MLD Core or Affiliated Faculty, and the thesis proposal/defense must be announced to the MLD community.

Heinz College / Dietrich College of Humanities and Social Sciences

Heinz College and the Department of Statistics offer a joint Ph.D. in Statistics & Public Policy. This five-year program provides students with comprehensive preparation at the Ph.D. level in both statistics and public policy. The curriculum draws on existing courses in both Statistics and Heinz College, recognizing that selected courses can meet objectives of both programs.

Critical to the success of the joint program is the close collaboration among faculty members from Heinz College and Statistics. While students will have separate faculty advisors from both sides, their progress will be regularly assessed by a joint group of faculty.

• Amelia Haviland
• Daniel Nagin
• Alexandra Chouldechova

The Statistics & Public Policy curriculum is tailored to the individual student's interests and needs, but the general strategy is similar: to meld the two sets of Ph.D. requirements into a coherent and useful set of courses, with similar core items.

The dissertation research topic for students in the joint program should be relevant to both faculties, and the dissertation will be supervised jointly by members from both sides.

A sample schedule can be viewed on the Dietrich website.

There will only be a single thesis proposal and thesis defense. These will involve presentations to a joint group of faculty and students from the two separate programs, and the basic rules will resemble closely those used for Statistics proposals and dissertations.

Heinz College / Tepper / Dietrich / College of Engineering

Technological change and entrepreneurship are at the heart of regional and national economic growth, as well as firm performance. Strategy to guide innovative activity in new and ongoing organizations is key to harnessing this growth either publicly or privately. This Joint Ph.D. Program seeks to provide students with substantive training in the areas of Strategy, Entrepreneurship, and Technological (SET) Change.

A distinctive feature of the program is that students receive training in analytical modeling. The program also builds on the broad interest and expertise in many parts of Carnegie Mellon regarding the study and practice of technological change. Coursework draws from a number of disciplines and areas, including economics, history, statistics, organizational behavior, entrepreneurship, firm strategy, and engineering.

This is a joint program with the Department of Social and Decision Sciences (Dietrich College), the Department of Engineering and Public Policy (College of Engineering), the Tepper School of Business, and the Heinz College of Information Systems and Public Policy.

Key Heinz Faculty 

Learn more at the CMU 'SET Change' page

University of Colorado Denver | Anschutz Denver | Anschutz Medical Campus

2024-2025 academic catalog, economics ma/applied mathematics ms dual degree, with a focus in applied statistics, introduction.

Graduate Advisors:   Economics - Andrea Velasquez, Chloe East, and Barton Willage Applied Mathematics - Click here.

The fields of mathematics and economics are inextricably linked. In economics, mathematics and statistics are used extensively in theory construction, tests of existing theories and discovery of regularities to inform new theories. Economics also gives mathematicians/statisticians new challenges, new outlets and new ideas to incorporate in mathematics. These complementarities have long been recognized and economics graduate students have always been advised to take advanced courses in statistics.

A "dual" degree means that students who complete the program earn two master's degrees: MA in economics and MS in applied mathematics. Students interested in completing the dual degree in economics and applied mathematics must apply separately to each program, meet the admission requirements of each program, and be accepted by each program. If one program accepts a student for the dual degree but the other program does not, then the student may not graduate under the dual degree program. Students may apply to both programs at the same time or apply to the economics program first, and then to the applied math program after their first semester, or vice versa. Both programs must be completed in the same semester to take advantage of the dual degree program. Further information about this program can be obtained from either the Department of Economics or the Math Department.

Click here for admissions requirements for the MA program in Economics

Click here for admissions requirements for the MS program in Applied Mathematics

There are an increasing number of economics MA students wishing to obtain graduate training and a degree in statistics. Having an MA degree in economics and an MS degree in Applied Mathematics will make a student highly employable in the job market and provide them an edge in applying for elite PhD programs.

Graduate Education Policies and Procedures apply to this program.

Program requirements.

• The requirements for the dual degree in economics and applied mathematics include completing 21 credit hours in ECON and 21 credit hours in MATH (42 total credit hours).
• Students are expected to meet all course prerequisites. ECON 5803 Mathematical Economics is a prerequisite for ECON 5073 Microeconomic Theory and ECON 5813 Econometrics I . This prerequisite requirement is waived for students who are currently admitted to the MS Applied Mathematics program.
• Students must complete all ECON and MATH credits at the graduate level (5000-level or higher).
• Students must earn a minimum grade of B- (2.7) in all courses  that apply to the degree  and must achieve a minimum cumulative GPA of 3.0. Courses taken using P+/P/F or S/U  grading cannot apply to program requirements.  No course may be taken more than twice and only one attempt will retain the credit.
• Students must complete all coursework with CU Denver faculty.

To learn more about the Student Learning Outcomes for the MS program in Applied Mathematics, please visit our website .  

To learn more about the Student Learning Outcomes for the  MA program in Economics , please visit our   website .

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• Interdisciplinary PhD in Political Science and Statistics

Requirements: Students must complete their primary program’s degree requirements along with the IDPS requirements. Statistics requirements must not unreasonably impact performance or progress in a student’s primary degree program.

Grade Requirements:  B- in all required coursework (see options below)

PhD Earned on Completion: Political Science and Statistics

IDPS/Political Science Chair : Teppei Yamamoto

MIT Statistics + Data Science Center Massachusetts Institute of Technology 77 Massachusetts Avenue Cambridge, MA 02139-4307 617-253-1764

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• Dual Degree in Economics & Applied Mathematics

The fields of mathematics and economics are inextricably linked. In economics, mathematics and statistics are used extensively in theory construction, tests of existing theories and discovery of regularities to inform new theories. Economics also gives mathematicians/statisticians new challenges, new outlets and new ideas to incorporate in mathematics. These complementarities have long been recognized and economics graduate students have always been advised to take advanced courses in statistics. Having an MA degree in economics and an MS degree in Applied Math will make a student highly employable in the job market and provide them an edge in applying for elite PhD programs.

The Dual Degree

A “dual” degree means that students who complete the program earn two master’s degrees: M.A. in economics and M.S. in applied mathematics. Students interested in completing the dual degree in economics and applied mathematics must apply separately to each program, meet the admission requirements of each program, and be accepted by each program. If one program accepts a student for the dual degree but the other program does not, then the student may not graduate under the dual degree program. Students may apply to both programs at the same time or apply to the economics program first, and then to the applied math program after their first semester, or vice versa. Both programs must be completed in the same semester to take advantage of the dual degree program.

Degree Requirements

42 hours: 21 in Economics and 21 in Mathematics and Statistical Sciences

Core Courses (36 hours) B- or better required in all core courses with a B average or above over all coursework. No course may be taken a third time.

• Microeconomic Theory (Econ 5073) - 3 hrs.
• Macroeconomic Theory (Econ 5083) - 3 hrs.
• Econometrics I (Econ 5813) - 3 hrs.
• Econometrics II (Econ 5823) - 3 hrs.
• Sem. in Applied Econ. (Econ 6053/6054) - 3 hrs.
• Applied Analysis (Math 5070) - 3 hrs.
• Applied Linear Algebra (Math 5718) - 3 hrs.
• Workshop in Statistical Consulting (Math 6330) - 3 hrs.
• Probability (Math 5310) - 3 hrs.
• Introduction to Mathematical Statistics (Math 5320) - 3 hrs.
• One of the following: MATH 5394, MATH 6376, MATH 6380, MATH 6384, MATH 6393, MATH 7384, MATH 7826, or an additional MATH course given prior approval by the student's advisor and the Director of the Program in Statistics - 3 hrs.
• Research Seminar (Econ 6073) - 3 hrs. 
• 3 hours in Economics and 3 hours in Mathematics at the 5000 level or above.
• The following courses do not count towards any graduate degree in applied mathematics: MATH 5000-5010, MATH 5017, MATH 5198, and MATH 5250.

Gradaute Examinations

• Students must successfully defend a capstone research paper that demonstrates their proficiency in the knowledge and skills comprising the MA degree in economics. 
• A final examination in Mathematics consisting of an oral presentation is required (no associated course or credit).

Master’s Program Resources

• M.A. in Economics
• Five-Year BA/MA in Economics (4+1)
• Five-Year BA Economics / MS Health Economics (4+1)
• M.S. in Health Economics
• Dual Degree in Economics & Finance
• Dual Degree in Economics & Public Administration
• Admission Requirements / How to Apply
• Financial Support

Ph.D in Health Economics

Certificate Programs

Contact Information

For general admissions questions contact the Graduate School at [email protected] or 303-315-0049.

For questions about the M.A. or M.S. programs contact the Department Chair at [email protected] . 

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People Search

Phd program economics and statistics.

Would you like to work intensively on economic and socio-political questions and develop new research methods?

Apply online

The PhD Program in Economics and Statistics is offered jointly by the University of Innsbruck and the University of Linz, leading European institutions for empirical economics and data science as well as behavioral and experimental economics. The programme is open to students from around the world, provided they hold a Master’s degree or equivalent. Students become competent researchers within the research community investigating economic and socio-political problems in depth and developing new research methods. The topic of a dissertation should be aligned with the research interests of potential supervisors. Please check the faculty pages to learn about the research interests of potential supervisors. It is highly recommended to contact potential supervisors before finally applying to the programme.

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Graduates acquire the ability

• to write scientific papers that meet the international standards of peer-reviewed publications;
• to contribute to the international research network; to develop independent research programmes with scientific integrity and to successfully introduce and implement these at national and international research funding agencies;
• communicate with their professional environment, the scientific community and society in general about their specialist field.

The work of the graduates of the PhD Program in Economics and Statistics mainly consist of:

• to conduct theoretical and empirical research in economics or statistics and to publish internationally in economics or statistics,
• to apply theoretical and empirical research methods to solve (economic-political) problems and to develop them further for new problems.

Graduates will find their professional field of activity among other things:

• at universities,
• in research institutions and other post-secondary educational institutions,
• in research departments of the European Central Bank, the Oesterreichische Nationalbank, of other banks, rating agencies, regional development companies, market research institutions as well as in other companies and commercial organisations,
• in research departments of international organizations such as the OECD (Organization for Economic Development and Cooperation), EU (European Union), IMF (International Monetary Fund) or the World Bank,
• in research departments of public institutions, interest groups and NGOs (non-governmental organisations),
• in politics and the media,
• in the national statistical institutes, in particular Statistics Austria and the regional statistical offices.

Graduates tracking : Shows which occupational fields students enter after graduation

Fur­ther edu­ca­tion

Career Ser­vice

The next online session takes place on December 11th, 2023 at 3pm. You can attend the session via the follwing link:  https://webconference.uibk.ac.at/b/jud-egz-szc-fcy

Faculty of Economics and Statistics Examination Office Information for students with disabilities

From the field

Preis für beste Nachwuchsarbeit gewonnen

Myriam Zollner, Absolventin des Masterstudiums Nachhaltige Regional- und Destinationsentwicklung, hat im Juni bei der Jahrestagung 2023 des „Arbeitskreis Tourismusforschung in der Deutschen Gesellschaft für Geographie (DGfG) e.V.“ in Saarbrücken (D) den „Young Researcher Award“ für die beste Masterarbeit gewonnen.

Inten­­sität des Kon­­takts zu Geflüch­­teten beein­­flusst Wahl­­ergeb­­nis

2015 fand die Landtagswahl in Oberösterreich auf dem Höhepunkt der Flüchtlingskrise in Europa statt. Der Wirtschaftsforscher Andreas Steinmayr untersuchte in diesem Zusammenhang, wie sich die Präsenz von Geflüchteten auf die Stimmabgabe für rechtspopulistische Parteien auswirkt. Ergebnis: Wo Geflüchtete langfristig untergebracht waren, reduzierte sich der Stimmenanteil für die FPÖ.

Finanz­pro­dukte: Warum wir Risi­ko falsch be­wer­ten

In einem groß angelegten Experiment hat ein Forscherteam mit Beteiligung der Uni Innsbruck erhoben, wie Laien und Finanzexperten das Risiko von Finanzprodukten wahrnehmen. Ein Fazit: Die Forscher fordern mehr Information bei Finanzprodukten. Die Studie erschien kürzlich im Fachjournal „Management Science“.

Falsch Informierte zahlen mehr

Eine Innsbrucker Forschergruppe um Rudolf Kerschbamer hat, unterstützt vom Wissenschaftsfonds FWF, eine Feldstudie zur Frage durchgeführt, ob sich Kunden in einem Markt für Vertrauensgüter durch den Erwerb von online verfügbaren Informationen vor Betrügereien durch die Verkäufer schützen können. Als Beispiel diente der Markt für Computerreparaturen.

Related studies

Eco­nomics and Statis­tics (PhD Pro­gram­me)

Doctor of Philosophy

Man­age­ment (PhD Pro­gram­me)

Po­lit­i­cal Science (Doc­toral Pro­gram­me)

So­ci­ol­ogy (Doc­toral Pro­gram­me)

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Dual Degree in Law and Economics (JD+PhD)

The dual program in Law and Economics enables a small number of highly qualified students to pursue simultaneous work in both disciplines. The program is designed to enable students to substantially reduce the time usually required to earn the two degrees separately and to encourage meaningful integration of work in both fields. All requirements for both the JD and the PhD in Economics can be completed in six to seven years; some students may require a greater amount of time. Timely completion of the program will ordinarily require at least two summers in residence.

Students in the dual program receive superb training in legal and economic analysis, as well as informed insight into some of the most complex and difficult problems confronting government leaders, business executives, and scholars today. Graduates of the program are particularly well prepared for university teaching and research in both fields. Recent graduates of the program have also chosen to work as practicing economists, either in government or in private consulting firms. Those graduates who choose to practice law are uniquely well prepared to handle cases in administrative, antitrust, corporate, securities, commercial, labor, and environmental law.

The program provides a framework of basic requirements for each degree to encourage competence in both disciplines. Apart from these requirements, the program is flexible and permits students to shape individual courses of study in accordance with their particular interests and goals. Each student’s program is reviewed and approved by a dual committee composed of both Law and Economics faculty.

Information contained herein is valid as of 2/26/19 and is subject to change.

Contact the applicable admissions office or dual degree resource for more information.

Requirements

Applicants should have exceptional undergraduate records that include substantial work in Economics, as well as courses in statistics and mathematics, including calculus and linear algebra.

Applicants must gain separate and independent admission to both the graduate program in Economics in the Horace H. Rackham School of Graduate Studies and to the Law School. Applicants should indicate their interest in the dual program on both the Law and Graduate School applications. If you are enrolled in a graduate program in another school or department at the University, the Law School will accept a valid GRE , GMAT , or MCAT score in lieu of an LSAT score; otherwise, a valid LSAT score is required. *

Students entering the Law School must complete the required first-year law curriculum. Students must take one elective course of three or four credit hours during their second semester. All students must complete the following before graduation: at least one international or comparative law course of two or more credit hours, at least one upper-level course with a rigorous writing component, one statutory or regulatory course of three or more credit hours, one course in professional responsibility of two or more credit hours, and two credit hours of experiential learning. Separate courses must be taken to fulfill the upper-level course with a rigorous writing component, the professional responsibility course, and the experiential learning course Students admitted to the Law School must earn a minimum of 83 credits toward the JD , at least 71 of which must be earned in Law School courses.

Twelve (12) credit hours from Economics courses may be counted toward requirements for the JD . If you are admitted to the Rackham School of Graduate Studies and choose to pursue the JD / PHD program, you must notify the Law School’s Office of Student Records and Office of Student Life.

• Two terms of economic theory courses. One term of mathematics and two terms of econometrics, or the equivalent level of competence as demonstrated by passing written examinations.
• Four courses in specialized fields in Economics, two of which must form a sequence in a major field.
• One course concentrating on advanced theoretical or empirical techniques. This course may be counted as one of the four required field courses or, alternately in special circumstances and with the approval of the student’s adviser, may be taken in the Law School.
• Successful completion of three written preliminary examinations; one in microeconomics, one in macroeconomics, and one in the student’s major field.
• Advanced research paper, to be satisfied in concurrence with the Law School seminar requirement. Ordinarily, this paper will form the basis of the student’s dissertation.
• Doctoral dissertation; a research project on a significant topic of the student’s choosing. A dissertation proposal must be approved by a faculty committee, which also hears the student’s oral defense at the completion of the dissertation.

Students must satisfy the degree requirements of each school, and should consult with advisers in each school for the precise graduation requirements for each degree and for information about course offerings. Law School courses are not offered in the summer term. Students will not receive credit toward the JD for non-law coursework taken prior to matriculation at the Law School. Students should consult with the adviser at the companion school concerning credit toward the PhD for Law course work.

Tuition will be assessed at either the Law School or the Graduate School rate, whichever is higher, when courses toward both degrees are taken in one term. The combined degree is not open to those who have already earned one of the two degrees.

At the beginning of their final year of study in the combined program, students should consult with their Rackham academic adviser and the Law School’s Office of Student Records regarding forms that need to be completed prior to graduation. Also at this time, students should submit a Dual/Joint Degree Election Form ( www.rackham.umich.edu/current-students/policies/academic-records/dual-j… ) for approval from both the Law School and the Department of Economics.

Any JD who enrolls concurrently in another degree program will be awarded the JD degree after completing all of the requirements for the dual, joint, or combined degrees. (As a practical matter, this means that the student will receive the JD degree either after or at the same time as they receive the degree(s) in the other program(s).) This policy will not affect the student’s class year for purposes of the Law School’s commencement ceremony or alumni events, and it will not apply if a student discontinues the other degree program(s). A law student who believes that they will experience some hardship as a result of this policy may petition the Associate Dean for Academic Programming for an exception.

JD courses traditionally have a later grading deadline than other degree programs. On some occasions, this later JD grading deadline may affect a student in their final term if another degree program desires all of the student’s grades prior to the JD grading deadline.

Contact Information

Law School Admissions Office University of Michigan Law School Jeffries Hall, Suite 2200 701 S. State St. Ann Arbor, MI   48109-1215

Phone: 734.764.0537 Email: [email protected]  

Office of Student Life (dual degree programs) University of Michigan Law School 316 Hutchins Hall 625 S. State St. Ann Arbor, MI   48109-1215

Phone: 734.764.0516 Email: [email protected]

Office of Student Records University of Michigan Law School 300 Hutchins Hall  625 S. State Street  Ann Arbor, MI   48109-1215

Phone: 734.763.6499 Email: [email protected]

Department of Economics Doctoral Admissions Department of Economics University of Michigan 250 Lorch Hall 611 Tappan Ave. Ann Arbor, MI  48109-1220

Phone: 734.764.2360 Email: [email protected] Website: lsa.umich.edu/econ

Rackham Graduate School Admissions  0120 Rackham Building 915 E. Washington St. Ann Arbor, MI  48109-1070

Phone: 734.764.8129 Email: [email protected] Website: rackham.umich.edu/admissions/applying

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