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- Topics: Active • Unanswered
- » Programming
- » any university in lebanon that offers phd in computer science?
#1 January 19 2013
Any university in lebanon that offers phd in computer science.
I study computer science in usek, i asked my teacher and he said that usek doesn''t offer a phd, he received his phd from usa. i asked my cousin, he has a masters degree from france, so he's a software engineer, they don't offer that either here, my cousin said why would i need a phd?
Well the way i see it, if i get a phd, even if i don't work anywhere, i can be a university instructor, but if i only get a masters degree i might be out of work. Besides i don't care about learning programming languages, i care about learning the theoretical part, i told my cousin that my masters research paper is going to be about quantum computing, he laughed at me, i think that i will only study cool stuff in my phd years.
#2 January 20 2013
Re: any university in lebanon that offers phd in computer science.
Your chances of getting work with a PhD are actually lower. - You will not have a lot of relevant real life experience - You will be marked as "over-qualified" - You will spend a lot of time and money that could have been used to build industrial relations - Most PhD students don't get the chance to become an instructor/associate professor
Unless you're really, REALLY into the field you're going to PhD in, by most measures you're off without one.
Note: PhD can help you with immigrations, and for some higher prestige (not better pay) at some research institutes.
#3 January 23 2013
yes that's what they all say and i really hate the word over-qualified...
#4 January 23 2013
It is said for a reason, not because they feel like telling you that you're over qualified. Simply in Lebanon there aren't really organizations that do research and development work that requires any theoretical computer scientists nor mathematicians.
So when you're going to apply for a software engineering position at some company that develops software for other businesses here, while shoving a Phd in Computer Science in their faces then you're definitely going to be considered over qualified. And most of the time, over qualified could mean unqualified said in a nicer way(given your high academic status), it would just sound rude.
Businesses here care about making money through skilled developers, they're not interested in highly theoretical people with (most probably) less hands on technical experience while their ego high in the clouds for boasting a Phd.
Technical work is not the job of a Phd in CS anyways. A Computer Scientist with a Phd is expected to dedicate his life doing research in certain fields, coming up with theories and proving them, teaching at university etc... Research on such a level does not exist in Lebanon except in a couple of private universities and it may not be really as great as it is outside such as the research done at MIT or whatever.
That is why Phds are said to be over qualified here by most companies, they just don't fit in, there is no place for them.
Last edited by Ayman (January 23 2013)
#5 January 23 2013
this blog confirms what you all are saying.
But I've read a research that says in the near future (5-10 years or so) anyone who doesn't have a phd will be unemployed in usa, because there are too many graduates looking for work, a phd will be a must to reduce the numbers of graduates, i wish i could find that study so that you can take a look at.
Well usek has sent me an sms 2 days ago, it says:
"Evolution Has No Limits! Continuous Education in Computer Sciences at USEK: Network /Database Administration, Game / Mobile Programming"
These are optional courses that even you can take i believe, so what happens if i study them, would i be also over-qualified? "Wow! this guy knows game programming, show him the door"... Will that happen? or do they only consider phd graduates to be over-qualified?
Last edited by Fischer (January 23 2013)
#6 January 23 2013
@Fischer Not really, overqualified(as far as I can think of) is usually for someone who has a high educational standing(like a Phd) with no or little practical experience on the ground. The courses you referred to are all practical courses needed in the work environment and the market. Programmers who are more proficient in those fields are definitely more relevant to certain job positions and not over qualified.
The thing is a Phd in CS won't really teach practical courses like the ones you mentioned such as mobile development, database administration or whatever. Phd topics could include AI, theory of computation, cryptography, bioinformatics, computer vision, natural language processing, machine learning etc... All of course discussed and researched from a theoretical point of course and not really how to apply them with the technologies on the market today.
EDIT: What really pisses me off in this country is the way universities and people deal with this domain. Students who have high hopes of working as programmers in the market after earning a CS degree end gaining few to nothing knowledge in what is demanded in the market from software developers. And in reality its the fault of the university or the system.
There should be a very clear distinction between CS and Software Development/Engineering as two completely separate majors with different courses and focus. The CS program would be geared towards teaching more theoretical courses including more maths while weeding out people who are not interested in all that theory nor in a future Phd. And the SE program would be geared towards teaching more practical courses with heavy focus on graduating competent programmers who are relevant to the market demands in software development.
#7 January 24 2013
I agree with arithma. If you're only considering a PhD so you increase your chances of getting a job, then don't. It won't make you more "employable", for the reasons he already mentions. Just like any important choice, you should really understand what a PhD is about.
I'm not the most qualified person to talk about PhD programs, especially in Lebanon. Others may be more qualified to do so (and I encourage them to give input here). It would be best to ask some current grad students.
What's a PhD?
Effectively, it consists of reading papers, writing some and exchanging with the leading experts on certain topics. This is different than a programmer or an engineer whose job consists of applying what we already know in the corporate world.
A PhD is rarely about a single field. Cross-disciplinary topics are becoming the norm. One of my favorite authors, Gerald J. Sussman, has a wonderful paper on applying what we know about cell biology to increase the robustness of software ( link to pdf ). Grammarians and linguists are now working on making the best programming languages and music scholars are trying to teach a computer how to compose music.
Everything so far, school, bachelor, masters, basically all your life, has been about teaching you something humanity already knows. A PhD is different by definition. You are not "taught" something. You are researching about something no one knew before.
A PhD is useless if you want to work as a programmer.
What are the jobs to consider after a PhD?
You're likely not going to work as a programmer. Your skills are elsewhere. You know how to read scientific literature and look up info quickly. There are other fields where you can grow:
Academia: Work at a university. Get involved in both research and education. Do regular publications. I don't know about Lebanese universities, so I cannot describe exactly what happens there, again, if you know more than me, please give us some feedback.
Private R&D sectors: PhD's are increasing in demand in companies with R&D divisions. Again, I don't know much about Lebanon.
Authoring: doctorates are trained authors. The sheer amount of papers you have to write to get a PhD is worth several books. It's very common for PhD graduates to publish books, give talks, make presentations, ...
Innovative startups: This is probably what @Fischer's article mentioned. When you work at the edge of human knowledge, you are able to think about thousands of ways to monetize it. When the environment is welcoming (like what's happening at Silicon Valley), PhDs are the first to found their own companies.
Whatever way one can find to make money.
The point I'm trying to make is not that PhD students and grads are bad programmers, but that a PhD is useless (it may even be a bad choice) if you want to be a programmer.
#8 January 24 2013
i don't really want to work as a programmer guys, i may work as a programmer for 5 or 10 years, i don't know but i don't see myself spending a lifetime in front of a pc, creating cms or writing documentations or fixing databases or writing javascript or maintaining APis, that sucks! i've created too many cms and enough is enough, i don't want to work for clients, programming is about fun not money, that's how i see it, so i don't care how much money i will make, i won't have fun.
I want to learn things like advanced multi-threading, parallel computing, biocomputing, and most of all quantum computing, i want to create software that i can be proud of, advanced chess engines like deep blue, get involved in projects about parallel computing or quantum computing, you see anyone can write a code no matter how hard it is, so writing codes doesn't excite me, i need to challenge myself.
I know i'm talking about thing that doesn't exist here, so i either have to change my major or my country...
#9 January 24 2013
i don't know but i don't see myself spending a lifetime in front of a pc, creating cms or writing documentations or fixing databases or writing javascript or maintaining APis, that sucks! i've created too many cms and enough is enough, i don't want to work for clients, programming is about fun not money, that's how i see it, so i don't care how much money i will make, i won't have fun.
Then you definitely shouldn't be a developer. I always tell fresh-grad employees who start training at the company I work for that unless they love programming more than anything else in this life, then they are better off finding another thing to do for a living. I really do not expect someone who is not extremely passionate about programming to be a great developer. One which companies would want to retain no matter the cost. That probably applies to every other industry, but at least I know for sure that this is the case in the software development industry.
You might want to drag your ego down a little bit :) Just because you wrote some code - probably customization of a CMS like wordpress or something - doesn't mean you're too good to be a "programmer". There's far more about programming that you need to learn about than you might think. Parallel computing and multi-threading are not what you think they are; they are actually part of my daily job as a developer. Once you get the chance to work on large business applications, you will understand that software development can actually be "fun". For example, one of the teams at the company I work for have been struggling with one of the modules of the system they've been working on. The problem at hand is that this module has to cater for 10,000 transactions per second . Can you get more "fun" than that? Trust me, you will need more than a PhD to solve this issue.
I know i'm talking about thing that doesn't exist here
You do not "know" that, you just think that it doesn't.
Last edited by Kassem (January 24 2013)
#10 January 24 2013
@kassem i really do love programming i studied python since i was 16 years old, python is my life, and no i never touch wordpress, i hate wordpress, drupal and joomla and tend to stay as far away from php as i could, python, django is my life, studied lisp and ruby too but i repeat python is my life.. and i'm not a fan of client side scripting. But i hate writing documentations, writing client side codes, maintaining APis, things like that.
Parallel computing and multi-threading might be a part of your job, semantic search is what my cousin does, but you don't learn these stuff in university, at least not my university, they teach multi-threading but just the basics of it, my university isn't teaching me what i really want to learn. You need to study these topics on your own. And working at your company may be fun but most of the jobs out there is just creating cms for clients or free android apps.
i said i'm talking about stuff that doesn't exist here because ayman and arithma said so.
#11 January 25 2013
but you don't learn these stuff in university, at least not my university, they teach multi-threading but just the basics of it, my university isn't teaching me what i really want to learn. You need to study these topics on your own.
Yup, you got that right. I barely learned anything (programming wise) from my university. Because I love programming so much, I spend most of my time reading and experimenting on my own. Moreover, working on large business applications allows you to explore some of the not-so-traditional architectures and technologies. So my advice is to just learn CS, MIS or software engineering at any university (Lebanese University should be fine) just so you could get a diploma. At the same time, invest your time and effort in learning all the stuff you enjoy learning about.
#12 January 29 2013
I want to learn things like advanced multi-threading, parallel computing, biocomputing, and most of all quantum computing [...] I know i'm talking about thing that doesn't exist here, so i either have to change my major or my country...
How exactly is your country stopping you from learning about advanced multi-threading or parallel computing? You should take a look at Hadoop and get started. I don't know what you mean by " biocomputing ", but Biomedical Engineering is taught in several universities in Lebanon.
Not working in quantum computing has little to do with your country either. The whole field is in its infancy. Currently, only a few get to work in it. And they're usually some of the top physicists in the world. If you manage to become a world class scientist, I doubt your country is going to stop you in any way.
Lebanon has its fair share of problems, but that shouldn't stop you from getting started working on the things you enjoy right away :)
#13 January 29 2013
all i'm saying is that universities in my country don't teach the things that i want to learn, and when i said "i either have to change my major or my country" what i meant is that by changing my country i might have a bigger opportunity to learn the stuff that i want to learn in a university and not by googling and i might have a bigger opportunity to work in the fields that i love.
Biocomputing and Biomedical Engineering are not the same, but there are similarities.
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The doctor of philosophy in computer science is, above all, a high-quality degree that is not conferred simply for the successful completion of a specified number of courses or years of study. It is a degree reserved for students who demonstrate a comprehensive understanding of computer science and an ability to do creative research. Each PhD student produces a significant piece of original research, presented in a written dissertation and defended in an oral examination.
The PhD program is structured to facilitate the process of learning how to do research. Students begin by taking required courses to build a foundation of knowledge that is essential for advanced research. Early in the program the student gains research experience by undertaking a directed research project under the close supervision of a faculty member and the scrutiny of a faculty committee. In the later stages of the program, students take fewer courses and spend most of their time exploring their dissertation area to learn how to identify and solve open problems. The final steps are to propose an independent research project, do the research, and write and defend a dissertation.
Application materials should be submitted by December 15 for the following fall term. Materials include everything required for admission to the master’s program as well as a discussion of the anticipated research area.
Students who enter the UO with a master’s degree may petition the Graduate Education Committee for credit toward the course requirements listed below, indicating how their prior graduate work corresponds to these courses. See the graduate coordinator for the petition.
Program Learning Outcomes
Upon successful completion of this program, students will be able to:
- Core Knowledge Breadth: Demonstrate a broad working knowledge of fundamental theories, research findings and methodological approaches in multiple content areas within Computer Science (Foundations, Systems, Data Science).
- Core Knowledge Depth: Demonstrate a deep working knowledge of advanced theories, research findings, and methodological approaches within one of the Computer Science areas of Foundations, Systems, and Data Science.
- Software Engineering: Demonstrate a working knowledge of software engineering and development techniques and related hands-on skills.
- Scientific Inquiry: Achieve a deep fluency in the scientific literature and the ability to ask and pursue compelling questions within a primary field of research, and achieve proficiency in relevant experimental design, methodology, and data analysis/statistical methods.
- Scientific Communication: Demonstrate effective oral and written scientific communication skills.
PhD Course Requirements
Course List | Code | Title | Credits |
| Breadth Requirement: 12 credits total | 12 |
| | Algorithms and Complexity | |
| | Data Science | |
| And one of the following: | |
| | Distributed Systems | |
| | Parallel Processing | |
| Depth Requirement: Choose one, 12 credits total | 12 |
| Each Depth requires three courses, at least one at 600-level | |
| Foundations Depth | |
| | Advanced Data Structures | |
| | Automata Theory | |
| | User Interfaces | |
| | Modeling and Simulation | |
| | Introduction to Compilers | |
| | Structure of Programming Languages | |
| Data Science Depth | |
| | User Interfaces | |
| | Data Mining | |
| | Introduction to Artificial Intelligence | |
| | Machine Learning | |
| | Probabilistic Methods for Artificial Intelligence | |
| | |
| Systems Depth | |
| | Introduction to Parallel Computing | |
| | Introduction to Networks | |
| | Computer and Network Security | |
| | Introduction to Computer Graphics | |
| | Introduction to Compilers | |
| | Distributed Systems | |
| | Parallel Processing | |
| | Computer Networks | |
| | Advanced Network Security | |
| Writing Requirement | 2 |
| | Writing in Computer Research | |
| Elective Options: 24 credits total | 24 |
| Total Credits | 50 |
A grade of B- or better is required
Cannot duplicate Depth course used
Cannot duplicate Breadth course used
A grade of C or better is required in graded elective credits
PhD Degree Requirements
PhD candidates who enter the program without a master’s degree in computer science must take 48 credits in graduate course work including the core and cluster courses required for the MS program. Doctoral students must earn a minimum grade of B– and an overall GPA of 3.50 in the six courses they use to satisfy the breadth and depth requirements.
Minimum Annual Enrollment
PhD students are expected to enroll in at least 6 credits of 600-level course work each year until their advancement to candidacy. Research: [Topic] (CS 601), Dissertation (CS 603), and Reading Conference: [Topic] (CS 605) do not satisfy this requirement. After candidacy, PhD students are encouraged to continue participation in 600-level courses
Directed Research Project
Complete a directed research project, which is supervised by a faculty member and evaluated by a faculty committee. The research project comprises the following:
- The definition and expected results of the project in the form of a Directed Research Project Contract
- Delivery of the materials constituting the results of the project and oral presentation of the results
- A private oral examination by the committee members
Status Change
PhD candidates are admitted conditionally. Successful completion of the directed research project leads to a change in the student’s doctoral status from conditional to unconditional.
Dissertation Advisory Committee
After successfully completing the directed research project, PhD students form a Dissertation Advisory Committee chaired by their research advisor. The main role of the committee is to advise the student between completion of the research project and mounting the dissertation defense. The committee takes primary responsibility for evaluating student progress. In addition, it approves the plan for the area examination, which in turn is approved by the graduate education committee. See the graduate coordinator for further instructions.
Area Examination
The student chooses an area of research and works closely with an advisor to learn the area in depth by surveying the current research and learning research methods, significant achievements, and how to pose and solve problems. The student gradually assumes a more independent role and prepares for the area examination, which tests depth of knowledge in the research area. The examination contains the following:
- A survey of the area in the form of a position paper and an annotated bibliography
- A public presentation of the position paper
- A private oral examination by committee members
Advancement to Candidacy
After the area examination, the committee decides whether the student is ready for independent research work; if so, the student is advanced to candidacy.
Dissertation and Defense
Identify a significant unsolved research problem and submit a written dissertation proposal to the dissertation committee. The dissertation committee, comprising three department members and one member from an outside department, is approved by the graduate education committee. In addition to these four, the dissertation committee often includes a fifth examiner. This outside examiner should be a leading researcher in the candidate’s field who is not at the University of Oregon. The outside member should be selected a year before the candidate’s dissertation defense, and no later than six months before.
The student submits a written dissertation proposal to the committee for approval, and the proposal is then submitted to the graduate education committee. The proposal presents the research problems to be tackled, related research, methodology, anticipated results, and work plan. The committee may request an oral presentation, similar to the area exam, which allows the student to explain and answer question about the proposed research. The student then carries out the research.
The final stage is writing a dissertation and defending it in a public forum by presenting the research and answering questions about the methods and results. The dissertation committee may accept the dissertation, request small changes, or require the student to make substantial changes and schedule another defense
Division of Graduate Studies Requirements
PhD students must meet the requirements set by the Division of Graduate Studies as listed in that section of this catalog
Research Areas
It is important that a PhD student be able to work effectively with at least one dissertation advisor. Hence the student should identify, at an early stage, one or more areas of research to pursue. The student should also find a faculty member with similar interests to supervise the dissertation.
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Apple Scholars in AI/ML 2025 - Call for Applications
Aktuelles | 31.07.2024
Apple has announced the PhD Fellowships in AI/ML 2025 program. Nominees should be pursuing research in one or more of the following research areas:
- Privacy preserving machine learning
- Human centred AI
- AI for ethics and fairness
- AI for accessibility
- AI for health and wellness
- ML algorithms and architectures
- Embodied ML
- Speech and natural language
- Computer vision
- Information retrieval, ranking and knowledge
- Data-centric AI
What is included?
The fellowship award comprises
- A generous stipend for (2) academic years to help with living expenses and related expenses
- $5,000 USD travel grant each year to support research-related travel and associated expenses
- Mentorship with an Apple researcher
- Potential Internship opportunities during their fellowship (subject to student status and relevant employment law).
The monetary award will be directed to the nominating universities in the form of an unrestricted gift with the intention to fully support the University’s successful nominee(s), disbursed annually Award amounts will vary by country.
The award of the Apple Scholar in AI/ML PhD fellowship does not represent an employer/ employee relationship between Apple and the receiving university and/or selected student.
How to apply?
Nomination by TUM Graduate School only .
In order to apply, please submit the complete application documents in separate PDF files to Charlotte Janosa, [email protected], until 31 July 2024 . Applications must be submitted by the primary thesis supervisor .
After the application deadline, the TUM Graduate School Prize Committee shall nominate the 3 most promising candidates for the Apple PhD Fellowship 2025 in AI/ML.
Application documents
- CV and publication list
- Research Abstract (200 word maximum)
- Research statement covering past work and proposed direction for next 2 years (5 page maximum, including citations, in a legible font size) clearly stating the hypothesis and expected contributions to the chosen research area. Personally identifiable information is redacted for phase one reviewers. We recommend not including personally identifiable information in the main body of the research statement in order to maintain research statement clarity for reviewers of the redacted copy.
- Two letter of recommendation, one from current supervisor (1 page maximum per letter)
- Transcripts of current and previous academic records (Bachelor, Masters)
Documents must be submitted as PDF’s with the file naming convention: “Last name, First name: Research Statement”; “Last name, First name: Resume”; “Last name, First name: Letters of recommendation” etc.
Eligibility
Please note, in order to be eligible
- Applicant must be fully registered on the doctoral candidacy list of their School (in DocGS) and be a full member in the TUM Graduate School at the time of application and expect to be enrolled through the end of the 2025/2026 academic year
- Applicant should be entering their last 2-3 years of the doctorate as of Fall 2024.
- Applicant must not hold an equivalent industry-sponsored full fellowship while they are an Apple Scholar in AI/ML (Fall 2025 to Summer 2028)
Contact: Charlotte Janosa | janosa(at)zv.tum.de | 089 289 10624, TUM Graduate School, Boltzmannstr. 17, 85748 Garching b. München
All information submitted by TUM will only be used by Apple for the purposes of conducting the PhD Fellowship in AI/ML program, and will at all times be handled in accordance with Apple’s Privacy Policy .
Machine Learning & Data Science Foundations
Online Graduate Certificate
Apply to Expand Your Future
As the value of data continues to skyrocket, companies are in need of people who can transform large data sets into rich analytical insights. Now, you can learn these techniques in Carnegie Mellon’s cutting-edge online program. Apply today to expand your future in machine learning and data science.
Are we the right fit?
Let’s face it, pursuing any kind of advanced training is an investment of your time, energy and resources. Before you consider our program, make sure your background aligns with our program expectations.
Successful applicants will have:
- A bachelor’s degree in STEM or related field Successful applicants will hold a degree in a science, technology, engineering or math-related field. Other degrees will be considered if the applicant can show the necessary proficiency in math and programming.
- Proficiency in advanced math Students should provide evidence of successful completion of advanced math coursework such as calculus, linear algebra and statistics.
- Proficiency in programming Students should be proficient in Python, R, or an analogous programming language, with experience writing at least 1000 lines of code.
- Relevant work experience Ideally, applicants will have some relevant work experience in either computer programming or a related field. Internships or other related work are acceptable.
- A disciplined and motivated mindset Harder to measure, but equally important, successful applicants will have a resilient spirit, a hunger to learn, and a knack for solving problems through technical innovation. With courses taught by CMU faculty from the #4 computer science school in the country, a consistent and conscious effort will be required to master each topic.
If you have questions about the program or how it aligns with your background, please call 412-501-2686 or send an email to [email protected] with your inquiries .
Application Requirements
Ready to apply? Here’s what you’ll need to complete the admissions process:
✔ Complete the online application Submit your application in the application portal.
✔ Submit your resume/CV We’d like to learn more about your employment history, academic background, technical skills, and professional achievements. Submit a 1 to 2 page resume or CV showcasing your experience.
✔ Submit your transcripts Submit an unofficial copy of your transcript for each school you attended. Transcripts must include your name, the name of the college or university, the degree awarded (along with the conferral date), as well as the grade earned for each course. Email your transcripts directly to [email protected] . Please note: former Carnegie Mellon students and/or alumni can request a copy of their CMU transcript from The Hub .
✔ Upload a statement of purpose Tell us your professional story. Where have you been, and where do you hope to go? In 500 words or less, please share how our program would advance your capabilities in your current role or prepare you for a new role in the industry.
✔ Submit your TOEFL, IELTS, or DuoLingo test scores An official TOEFL, IELTS, or DuoLingo test is required for non-native English speakers. This requirement will be waived, however, for applicants who either completed an in-residence bachelor’s, master’s, or doctoral degree program in the United Kingdom, United States, or Canada (excluding Quebec) or have at least three years of professional work experience using English as their primary language. If you fall into one of these categories, please include this information on your resume.
Tuition: Invest in Your Future
By enrolling in our graduate-level program, you'll be investing in your professional growth to expand your skillset or advance your career. We know this is a significant investment. Not just for you, but for your family as well.
Scholarships To help offset the cost of tuition, and to make our program as accessible as possible, we offer a limited number of partial, merit-based scholarships. All applications will be evaluated for these awards automatically; there is no need to submit additional materials. If you are awarded a scholarship, you will be notified in your decision letter. All applicants who submit by the priority deadline will receive a partial scholarship award.
In addition, Carnegie Mellon alumni are eligible for a scholarship to the Graduate Certificate in Machine Learning & Data Science Foundations worth up to 20% of tuition. Indicate your alumni status within the application to be eligible.
So, what is the investment per course? Below is a breakdown of our tuition for the 2024/2025 academic year:
| Course | Units | Investment |
| Mathematical Foundations of Machine Learning | 6 units | $4,242 |
| Computational Foundations for Machine Learning | 6 units | $4,242 |
| Python for Data Science (Part 1) | 6 units | $4,242 |
| Python for Data Science (Part 2) | 6 units | $4,242 |
| Foundations of Computational Data Science (Part 1) | 6 units | $4,242 |
| Foundations of Computational Data Science (Part 2) | 6 units | $4,242 |
| Total Investment | |
- An additional technology fee of approximately $230 will be assessed each semester.
- The rates above are for the 2024/2025 academic year only. If the program is not completed within that time frame, tuition may increase slightly for the following academic year.
Financing Your CMU Graduate Certificate
Monthly payment plan.
CMU provides a monthly payment option , managed by Nelnet Campus Commerce, designed to help students spread out tuition payments into manageable monthly installments. This plan also offers the ease of online enrollment. Should you be admitted and choose to join us, we recommend registering for this plan early to fully benefit from the range of payment options available.
Financial Aid & Private Loans
Students pursuing a graduate certificate are not eligible to receive federal financial aid. However, private loans are a viable alternative to consider with competitive interest rates and borrower benefits. See FastChoice , a free loan comparison service to easily research options.
Employer Tuition Reimbursement
Many companies offer tuition reimbursement programs to foster professional development among their employees. We encourage you to contact your HR department to find out if similar opportunities exist at your workplace.
When you speak to your employer, you can share that our program:
- Consists of transcripted, credit-bearing courses (not just continuing education units). You will earn 36 Carnegie Mellon graduate-level credits when you complete the full program.
- Equips you with foundational skills in AI, machine learning, and computational data science, which means you’ll be ready to extract meaningful insights from large, complex data sets right from the get-go. With the #1 program in Artificial Intelligence and the #1 Programming Languages school in the country, CMU is the ideal place to learn these skills and techniques.
- Features coursework taught by CMU faculty experts who are spearheading research in language technologies, computer science, machine learning, and human-computer interaction.
- Is delivered completely online , which means you can take classes on your own time while maintaining your normal work schedule.
Not sure how to approach your employer? Need specific documents to proceed with enrollment? Call 412-501-2686 or send an email to [email protected] with your inquiries . We’re here to help you take the next step in your professional journey.
CMU EMPLOYEE TUITION REIMBURSEMENT
The Graduate Certificate in Machine Learning & Data Science Foundations is eligible for CMU tuition remission. Review the CMU tuition remission policy to check your eligibility.
A Note for International Applicants
As part of a global university with locations and students from around the world, the School of Computer Science welcomes the diverse perspectives that international students bring to our programs.
The Graduate Certificate in Machine Learning & Data Science Foundations provides a unique opportunity for individuals nearly everywhere to earn a certificate at the intersection of AI, machine learning, and computational data science from one of the top ranked computer science schools in the country.
To help ensure you are fully prepared for the admissions process and, if admitted, for success as a student, this section provides detailed information about requirements for international applicants.
We look forward to reviewing your application.
The Graduate Certificate in Machine Learning & Data Science Foundations considers for admission international applicants who reside within, or outside of, the domestic United States. International applicants who reside within or outside of the domestic United States are advised of the following information and additional requirements for international applicants to the program.
Student Visas
Since this program is fully online, enrollment in this program will not qualify students for any type of visa to enter or remain in the United States for any purpose.
Time and Attendance Requirement
Classes for the program will be taught on the U.S. Eastern Time zone schedule, and students must be available to attend all live classes, regardless of location.
U.S. Sanctions; U.S. Sanctioned Countries
Individuals who are the target of U.S. sanctions or who are ordinarily resident in a U.S. sanctioned country or who live or expect to live in a U.S. sanctioned country while participating in the program are not eligible for admission to this program due to legal restrictions/prohibitions and should not apply. U.S sanctioned countries are currently Belarus, Cuba, Iran, North Korea, Russia, Syria and the following regions of Ukraine: Crimea, Donetsk and Luhansk. In addition, all or a portion of this program may not be available to individuals who are ordinarily resident of certain countries due to legal restrictions.
Applications received from these individuals will not be accepted. As well, if an individual is admitted to the program and subsequently the individual becomes the target of U.S. sanctions, ordinarily resident of a U.S. sanctioned country or lives in a U.S. sanctioned country while participating in the program (or otherwise becomes ordinarily resident of country in which the program is not available due to legal restrictions), the individual’s continued enrollment in the program may be terminated and/or restricted (due to U.S. legal restrictions/prohibitions) and the individual may not be able to complete the program.
Licensure in Various Jurisdictions
From time to time Carnegie Mellon reviews the licensing requirements of various jurisdictions in order to assess whether Carnegie Mellon may be precluded from making the program available to applicants that are residents of one or more of these jurisdictions prior to Carnegie Mellon obtaining the relevant license(s). Affected applicants from these jurisdictions, if any, will be notified prior to enrollment if Carnegie Mellon determines that it is unable to make the program available to them for this reason.
Value Added Tax (VAT) and Other Taxes
The tuition, required fees and other amounts quoted for this program do not include charges for applicable Taxes (hereinafter defined). The student is responsible for payment of all applicable Taxes (if any) relating to the tuition, required fees and other amounts required to be paid to Carnegie Mellon for the program, including any Taxes payable as a result of the student’s payment of such Taxes.
Further, the student must timely make all payments due to Carnegie Mellon without deduction for Taxes, unless the deduction is required by law. If the student is required under applicable law to withhold Taxes from any payment due to Carnegie Mellon, the student is responsible for timely (i) paying to Carnegie Mellon such additional amounts as are necessary so that Carnegie Mellon receives the full amount that it would have received absent such withholding, and (ii) providing to Carnegie Mellon all documentation, if any, necessary to permit the student and/or Carnegie Mellon to claim the application of available tax treaty benefits (for Carnegie Mellon review and completion, if warranted and acceptable).
Taxes mean any taxes, governmental charges, duties, or similar additions or deductions of any kind, including all use, income, goods and services, value added, excise and withholding taxes assessed by or payable in the student’s country of residence and/or country of payment (but does not include any U.S. federal, state or local taxes).
- What kind of academic background do I need? Successful applicants will have a bachelor’s degree in a STEM-related field. Other degrees will be considered if the applicant can show the necessary proficiency in math and programming. Applicants should also have proficiency in programming languages like Python or R, with experience writing up to 1000 lines of code.
- Do I need work experience? Applicants will ideally have some relevant work experience in either computer programming or a related field. Internships or other related work are also acceptable.
- What materials do I need to submit when I apply to this program? Besides the online application, applicants must submit a current resume, transcripts, and a personal statement to be considered for enrollment.
- Is there an application fee? No, this program does not require an application fee.
- When is the application deadline? All applicants who submit by the priority deadline of July 9, 2024 will receive a partial scholarship award. The final deadline to apply is July 30, 2024.
- How do I check the status of my application? You can view the status of your application at any time in the application portal. A decision letter from Carnegie Mellon will be sent through the application portal within a few weeks of submitting your online application.
- After I submit my application, when will I hear back? You’ll receive a decision letter within a few weeks of submitting your application.
- Is a deposit required to secure my spot? No, a deposit is not required to secure your spot in the program.
- If I choose to complete the entire certificate, what is my total investment? The total investment for the Machine Learning & Data Science Foundations certificate during the 2024/2025 academic year is $25,452. A breakdown of the tuition and fees can be found above. Partial scholarships are available. All applicants who submit by the priority deadline of July 9, 2024 will receive a partial scholarship award. Carnegie Mellon alumni are eligible for a scholarship to the Graduate Certificate in Machine Learning & Data Science Foundations worth up to 20% of tuition.
- Is this program eligible for CMU tuition remision? Yes, the Graduate Certificate in Machine Learning & Data Science Foundations is eligible for CMU tuition remission. Review the CMU tuition remission policy to check your eligibility.
Application Deadlines
Priority*: July 9, 2024 Final: July 30, 2024
*All applicants who submit by the priority deadline will receive a partial scholarship award.
Request Info
Questions? There are two ways to contact us. Call 412-501-2686 or send an email to [email protected] with your inquiries.
Fast Admission Decisions
Applications are evaluated on a bi-weekly basis, which means you’ll receive a decision letter fast, within a few weeks of submitting your application .
At CMU, we recognize the value of time well spent. Quick decisions mean less time wasted and more time preparing for your future.
Due to the individual nature of the coursework, space is limited for our program - applications will be accepted until the class is full.
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Program Description. To obtain PhD degree in Computer Science, the student should successfully complete a total of 40 credit hours; including 18 credit hours of course work with a CGPA of no less than 3.0 and successfully defend the dissertation (22 credit hours) in no less than three years. Moreover, the student has to pass a comprehensive ...
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The Department of Computer Science at the American University of Beirut prepares students for advanced studies and professional careers in the dynamically changing world of computing and information technology. Our programs combine the theoretical foundations of computing with the practical knowledge of software development vital to industry ...
20. 0/4 Universities have been added to compare. Compare. 04. Compare. Applications. Find the list of all PHD Programs in Computer Science And Information Systems in Lebanon with our interactive Program search tool. Use the filters to list programs by subject, location, program type or study level.
PhD. . To be eligible for the admission to the PhD program, an applicant must hold a master's degree preceded by a bachelor's degree recognized by the university and relevant to the field of study. Applicant must also have an outstanding cumulative average, acceptable to the appropriate faculty graduate committee.
Find the list of all universities for PHD in Computer Science And Information Systems in Lebanon with our interactive university search tool. Use the filter to list universities by subject, location, program type or study level.
Faculty of Computer Studies. The Faculty of Computer Studies (FCS) at the Arab Open University (AOU) offers leading-edge programmes of study in the most in-demand fields through UnderGraduate and PostGraduate programmes. Currently, FCS offers a Bachelor of Science in Information Technology and Computing (ITC) with six track options, and a ...
Choose international phd programs in computer-science-it that suites to you. Study in the best universities in Lebanon. Program Finder; Internships; Scholarships; Collections; Advisers; Articles; PhD Computer Science & IT programs in Lebanon. Order by: Name. Price. Deadline. Duration. Bachelor. Computer Science. American University of Beirut ...
Doctoral School of Science and Technology The Doctoral School of Science and Technology, an independent university unit, is one of the three doctoral schools that were created at the Lebanese University in 2007.The School counts 237 students. The Doctoral School aims at creating a scientific culture along with practices that focus on innovation, development and quality assurance. It seeks to ...
Essential Requirements. Master's degree with minimum CGPA 3.00 or minimum percentage grading system of 80%. English language proficiency: English is the language of instruction. Hence, applicants must provide evidence of their English language proficiency when applying to programs in one of the following ways: Test. Minimum required score.
India. Italy. Japan. Netherlands. See the US News rankings for Computer Science among the top universities in Lebanon. Compare the academic programs at the world's best universities.
Assistant Professor of Computer Science. Ramzi A. Haraty Associate Professor of Computer Science. Haidar Harmanani Professor of Computer Science Interim Dean, School of Arts and Sciences. Leila Issa Associate Professor of Mathematics Co-Program Lead, Computer Science Program Coordinator, Mathematics. Joseph Khalife Senior Instructor of Computer ...
Lebanese American University is a highly distinguished institution, ranking joint #1 in Lebanon by Times Higher Education 2024. This program is also conferred by LAU New York, making it a US accredited degree. ... He holds a PhD in Computer Science from the University of Tennessee - Knoxville, a MS degree in Mathematics and a BS in Computer ...
Mission. The PhD program in ECE creates knowledge through advanced coursework and. original research with expert faculty to shape the next generation of leaders for careers in academia and industry. It provides students with research-intensive studies in the different areas of ECE to develop competencies and proficiency in emerging technologies ...
Computer Science (online) MS: Online: 30: Education: MA: Beirut: 30: Global Business Administration (online) MBA: Online: 33: Healthcare Management (online) MBA: Online: 33: ... Earn a master's or graduate certificate from LAU fully online. Learn more. See Also. Tuition and Fees; Financial Support and Scholarships; Executive Education;
Graduate work in computer science involves the study of the development of physical and theoretical design and understanding of computer systems, as well as the implementation of those developments into everyday life. Your Career. Upon graduation, you can pursue careers as become researchers, computer systems analysts, computer systems ...
The mission of the Computer Science program is to educate students in the principles and practices of computer science, preparing them for life-long learning and careers in software design and development, computing systems technology, and research. ... HIT 211 History of Lebanon and the Middle East ... Graduate Degrees
He holds a PhD in Computer Science from the University of Tennessee - Knoxville, a MS degree in Mathematics and a BS in Computer Science from the American University of Beirut. Prof. Abu-Khzam is the director of LAU's Software Institute, and the founder of the Lebanese Collegiate Programming Contest (LCPC).
Your chances of getting work with a PhD are actually lower. - You will not have a lot of relevant real life experience - You will be marked as "over-qualified" - You will spend a lot of time and money that could have been used to build industrial relations - Most PhD students don't get the chance to become an instructor/associate professor. Unless you're really, REALLY into the field you're ...
Kenneth Yarnall. Chair and Associate Professor Mathematical Sciences. [email protected]. 717-867-6085. Clyde A. Lynch 283-A. Browse All News. You'll learn several coding languages and develop high-level skills in LVC's computer science degree program.
Doctoral Program. The Ph.D. in Computer Science prepares you for a life-long career in scientific inquiry, as well as the ability to work in industries where rapidly evolving computer science drives the 21st century world economy. Our graduate students play a critical role in the department's research program, and they become researchers ...
All prospective computer science majors are expected to complete CMPS 201, MATH 201, MATH 211 or CMPS 211, and CMPS 202 in the sophomore year. Computer science majors are expected to complete CMPS 214, CMPS 221, CMPS 231, CMPS 244, CMPS 270, and CMPS 271 in the junior year and maintain an average grade of at least 2.3 in computer science courses.
And work with the brightest minds in the field to advance computing for the common good with UMass Amherst's PhD in computer science. Designed to prepare you for teaching, research and leadership positions, our PhD program ranks among the top 25 in the nation and features world-renowned faculty, interdisciplinary research, and a spirit of ...
PhD candidates who enter the program without a master's degree in computer science must take 48 credits in graduate course work including the core and cluster courses required for the MS program. Doctoral students must earn a minimum grade of B- and an overall GPA of 3.50 in the six courses they use to satisfy the breadth and depth ...
The Apple Scholars in AI/ML PhD fellowship program recognizes the contributions of emerging leaders in computer science and engineering at the graduate and postgraduate level. The PhD fellowship in AI/ML was created as part of the Apple Scholars program to support the work of outstanding PhD students from around the world, who are pursuing cutting edge research in machine learning and ...
Computer Science department. Students who have completed the requirements for a BS in Computer Science have the option to transfer to CSE, provided they achieve a qualifying overall GPA. Transferring students can finish the CSE degree in four calendar years, provided they follow an appropriate study plan1. Minor in Computer Science
CMU Online Graduate Certificates. Below, explore more online opportunities offered by Carnegie Mellon University. Generative AI & Large Language Models Enhance your expertise in the latest techniques in GenAI, deep learning, large language models, and multimodal machine learning with this program from the School of Computer Science.. Foundations of Data Science Designed for individuals with ...
The Graduate Certificate in Machine Learning & Data Science Foundations provides a unique opportunity for individuals nearly everywhere to earn a certificate at the intersection of AI, machine learning, and computational data science from one of the top ranked computer science schools in the country.