Carnegie Mellon University

Joint Machine Learning PhD Programs

Students interested in a ML- Joint PhD degree should first apply to the PhD program that best aligns with their research interests.

PhD in Statistics & Machine Learning

This PhD program differs from the Machine Learning PhD program in that it places significantly more emphasis on preparation in statistical theory and methodology. Similarly, this program differs from the Statistics PhD program in its emphasis on machine learning and computer science. The Joint PhD Program in Machine Learning and Statistics is aimed at preparing students for academic careers in both CS and Statistics departments at top universities or industry.

The student must be advised by a faculty from the home department along with a Core Faculty member from the joint department as a co-mentor. Joint Statistics-MLD faculty cannot serve both roles.  Both faculty must be identified at the time of admission to the joint program.

Note: MLD students are able to apply for this program after they have completed the courses and have a sponsoring faculty in Statistics make the case for admission.

PhD in Machine Learning & Public Policy

The Joint Ph.D. Program in Machine Learning and Public Policy is a program operated jointly by faculty in Machine Learning and the Heinz College (Schools of Public Policy, Information Systems, and Management). Students will gain the skills necessary to develop new state-of-the-art machine learning technologies and apply these successfully to real-world policy domains.

PhD in Neural Computation & Machine Learning

This Joint PhD program trains students in the application of machine learning to neuroscience and neural inspired machine learning algorithms by combining core elements of the ML PhD program and the Program in Neural Computation (PNC) offered by the Neuroscience Institute (NI).

The MLD requirements for graduation with a Joint-ML PhD degree are the same as those for the regular MLD PhD requirements (including the requirement for the PhD thesis committee composition), with only the following differences:

  • A Joint-ML PhD thesis will be a contribution to the combination of Machine Learning and the other field.
  • The single elective course, the speaking and writing skills requirements, and the Data Analysis requirement (10718) may be satisfied within the student’s home department.
  • A Joint-ML PhD student is still required to TA twice, but only one TA-ship has to be within MLD

A student in a Joint-ML PhD program may earn a MS degree along the way, either from their home department or from MLD, but not from both.  To earn an MS in Research from MLD they must satisfy all the relevant requirements.


Statistics Joint Program Requirements



For questions send email to: admissions@stat.cmu.edu Statistics PhD Online Application

Public Policy Joint Program Requirements



For questions send email to: hnzadmit@andrew.cmu.edu Public Policy PhD Online Application

PNC Joint Program Requirements

For questions send email to: pnc-admissions@cnbc.cmu.edu Neural Computation PhD Online Application

Machine Learning PhD Program Requirements

For questions send email to: ml-phd-admissions@cs.cmu.edu Machine Learning PhD Online Application