Full-time, in person, research-first
The programme is a full-time, in-person commitment and is not offered online or part-time. Students are expected to engage in active research from their first semester.
Doctoral · Carnegie Mellon Machine Learning
Carnegie Mellon ML PhD: research evidence, three letters and a short statement
Carnegie Mellon's Ph.D. in Machine Learning is a full-time, in-person doctoral programme in the Machine Learning Department. The application runs through the School of Computer Science, where GRE scores are optional for this programme and three letters of recommendation are required. The committee wants to know about your ability to do independent research, and students are expected to engage in research from their first semester.
Official information · last verified for 2027-28 entry
What Carnegie Mellon asks for in Carnegie Mellon Machine Learning PhD
Taken from the Carnegie Mellon Machine Learning Department's Ph.D. programme and requirements pages and the School of Computer Science's graduate-admissions overview and read on 3 November 2026. The page describes 2027-28 entry. For a 2028-29 start, applied for in 2027-28, every requirement below is last verified for the previous cycle and may change; Carnegie Mellon's requirements, dates and funding for 2028-29 are awaiting publication, and none is stated here.
GRE optional
GRE scores are optional for the Machine Learning PhD. The committee uses them to gauge quantitative skills, and to a lesser extent verbal skills.
Three letters, two from faculty or employers
Three letters of recommendation are required, with at least two from faculty or recent employers. The committee wants to know about your ability to do independent research.
A one- or two-page statement
A concise statement describing research interests, related experiences and objectives, plus a current résumé and unofficial transcripts.
English proficiency without waivers
Applicants studying on an F-1 or J-1 visa who are not native English speakers show proficiency by TOEFL (preferred), IELTS or Duolingo. The programme issues no waivers.
Teaching and a first-author paper
Students serve as teaching assistants for two semesters, and the writing requirement is a first-author paper of conference or journal quality.
Official sources
- Carnegie Mellon Machine Learning Department: Ph.D. Program in Machine Learningml.cmu.edu
- Carnegie Mellon Machine Learning Department: Requirements for the Ph.D. in Machine Learningml.cmu.edu
- Carnegie Mellon School of Computer Science: Graduate Admissions Overviewcs.cmu.edu
Read on 3 November 2026 on the Carnegie Mellon Machine Learning Department's Ph.D. programme and requirements pages and the School of Computer Science's graduate-admissions overview, which describes 2027-28 entry. The individual research groups, the joint PhD pages, the incoming-student information, the funding detail and the course lists were not read and are not stated. No deadline, fee, funding amount or place number is stated.
The decision
Is a machine learning PhD the right research route?
This guide concerns only the Carnegie Mellon Machine Learning PhD. The comparisons below are Avandy's judgment (heuristic), built from what the pages say.
It fits if
you can show independent research, through papers, projects or a research assistantship, and your letter writers can speak to it.
Think again if
you are looking for a part-time or online route. The page says the programme is full-time and in person.
Compare other doctorates if
your interest is in a neighbouring field. The School of Computer Science lets you apply to up to three doctoral programmes.
How the application is read
Research ability is the thread through every document
The school asks for a statement describing research interests and objectives, three letters from people who can evaluate your previous work, a résumé, unofficial transcripts and, for visa applicants who are not native English speakers, an English proficiency test. It adds that letters that are only character references will not provide good support for your application. The GRE is optional for this programme. This page carries no deadline, fee or funding.
How the degree runs
Research from the first semester
The Machine Learning Department says doctoral students are expected to engage in active research from their first semester, with adviser selection within one month of entering. Coursework, two semesters as a teaching assistant, a speaking skills requirement and a first-author paper are among the milestones the requirements page lists. This page carries no funding figures.
Avandy's judgment
Where an application can go wrong
These points are Avandy's heuristic reading of the pages. They are not Carnegie Mellon rules and carry no probability.
Letters that cannot speak to research
The school says character references will not provide good support.
A statement that is generic
The school asks for an essay that is specific and explains why your research interests are important and why you are suited to pursue them.
Relying on the GRE
It is optional here, and the pages put research evidence at the centre.
Next steps
A sensible order of work
The order is Avandy's suggestion, built from the pages' own steps.
Identify research evidence
List papers, projects and research roles you can document.
Choose your recommenders
Pick people who know your research and can evaluate it.
Draft the statement
Write one or two focused pages on your research interests and objectives.
Check the English requirement
Confirm whether you are required to submit a test.
Planning for 2028-29 entry
Planning for 2028-29 entry: what carries over and what awaits publication
Carnegie Mellon's pages describes entry in 2027-28. A start in 2028-29 means applying in the 2027-28 cycle, under rules Carnegie Mellon has not yet published. Each item below is either last verified for 2027-28 entry, which means Carnegie Mellon published it for the previous cycle and it may change, or awaiting publication for 2028-29 entry.
The structure of the route and the application
The entry standard, the application items and the research-degree structure are described on Carnegie Mellon's pages for the cycle they describe. Carnegie Mellon has not published the following cycle.
Deadlines, places, funding and fees
This guide states none of them. Carnegie Mellon publishes them per cycle; read them again when they show 2028-29.
What to do now
List your research evidence, choose recommenders who can speak to it and draft a focused statement of research interests.
Support
Independent support with the research statement and fit
Avandy provides independent academic and admissions support. It is not affiliated with Carnegie Mellon University or any of its departments, and it has no relationship with any member of staff. Support sits within the Avandy Trinity Advisory Model: a Strategic Admissions Consultant and a PhD-level Academic Mentor help the applicant test a research idea against the department's published research areas and plan their own statement. Support here is limited to testing a research idea against the department's published research themes and planning the applicant's own statements; it does not extend to contacting staff on the applicant's behalf. Avandy does not write or submit any part of an application, cannot arrange a supervisor and promises no outcome or funding.
Questions
Questions applicants ask
Is the GRE required for the Carnegie Mellon Machine Learning PhD?
No. The Machine Learning Department's page says GRE scores are optional.
How many letters of recommendation are needed?
Three, with at least two from faculty or recent employers.
How long should the statement be?
The school's overview asks for a concise one- or two-page essay, and program-specific questions appear on the application.
Can I study part-time or online?
No. The page says the programme is a full-time, in-person commitment and is not offered online or part-time.
Does this guide state a deadline or funding amount?
No. The pages describe a particular application cycle, and this guide states no deadline, fee or funding.
Students and families
Talk to us about the Carnegie Mellon Machine Learning PhD
Tell us about your degrees, your research experience, the research question you want to pursue and the supervisors or groups you have in mind. A senior adviser will review the academic profile before recommending how to develop the research statement.