We welcome applicants from a variety of backgrounds and an undergraduate degree in computer science is not required.

Incoming students must have a strong background in computer science, including a solid understanding of complexity theory and good programming skills, as well as a good background in mathematics. Specifically, the first-year courses assume at least one year of college-level probability and statistics, as well as matrix algebra and multivariate calculus.

For our introductory machine learning course, our self-assessment test will give you some idea of the background we expect students to have. (For the M.S., you're looking at the "modest requirements.") Generally, you need to have some reasonable programming skills, with experience in Matlab/R/scipy-numpy being especially helpful and Java and Python being more useful than C; and a solid math background, especially in probability/statistics, linear algebra, and matrix and tensor calculus.

The average scores of accepted applicants for the MS in Machine Learning for fall 2025 were as follows:

• Undergraduate Overall GPA: 3.9/4.0 or 9.5/10.0.
• GRE Quantitative: 169 (88th percentile)
• GRE Verbal: 160 (80th percentile)
• GRE Analytical Writing: 4.1 (63rd percentile)
• TOEFL: 111

Scores varied significantly and are only a small portion of applicants' qualifications. We do take people with a range of backgrounds for the master's program. For information about our selectivity rate and other statistics, refer to the comparison PDF of all SCS master's programs.

For applicants applying to the MS in Machine Learning - Applied Study program in Fall 2025 for a start date of August 2026, GRE scores are optional.
We do not require or expect applicants to take a GRE Subject Test.

No. At this time, we do not offer online or distance-learning classes. You must be physically present in Pittsburgh and able to attend classes on campus to complete the program.

Yes, you can study part-time as long as you can attend classes. International students should be aware that student visas require students to complete the program full-time and finish by the end of their third semester (in December).

No. Applications are accepted only in December and students must begin the program in August. We cannot make exceptions to this due to the timing of our set core courses.

No, you may not simply transfer into our program. You must submit an application and be accepted into the program, following the same application procedure as other applicants. Furthermore, the machine learning program does not accept transfer credit from other universities, although in certain situations a specific course requirement may be waived and an additional elective may be taken in its place.

Current CMU undergraduates may be able to apply for the fifth-year master's, which begins immediately after they have completed their bachelor's degree.

Yes, we welcome applicants from all backgrounds. As with all applicants, make sure that your statement of purpose makes it clear why you believe an additional master's will help you achieve your goals.

The School of Computer Science has compiled a comparison of its master's programs, including a PDF comparing program outcomes, average applicant scores and selectivity rates.

Yes. As a program in Carnegie Mellon's School of Computer Science, the Master's in Machine Learning is a STEM program.

The Career and Professional Development Center compiles Post-Graduate Salaries and Destination Information about all graduates.

The application deadline can be found on the SCS Master's Admissions page. It changes from year to year, but is generally in late November or early December. You should expect an email response sometime in February. If you apply to multiple programs, you should expect to receive separate responses from each program.