Admissions

Students enroll to the ML PhD program through one of the participating units (the College of Computing or the Schools of AE, BME, ECE, ISYE, and Math).  Applications can be started here.  In the Program Selection section of the application, choose:

Ph.D. in Machine Learning ([home unit name])

Applicants must meet all admissions standards (including requirements on the minimum GPA, minimum GRE/TOEFL scores) of their home unit. After an initial review, the unit’s representative to the ML PhD Faculty Advisory Committee (FAC) will submit their candidates to the program; the final admission decision will be made by the committee.

The committee’s decision to admit will be based on (1) prior academic performance of the applicant in a B.S. or M.S. program at a recognized institution, including coursework and independent research projects, (2) prior work experience relevant to ML, (3) the applicant’s statement of purpose, and (4) the letters of support.

Fall 2017 Transfer Applications

The GT ML PhD is starting in Fall 2017.  The initial class will have approximately 15 students.  These students will be drawn from incoming and current PhD students in the 8 participating schools.  Note that your support for your graduate studies (fellowships, RAs, TAs) will come through your home school, but you will be subject to different curricular requirements.

If you are interested in applying, please submit via email the following:

  • Basic information: Name, GT ID#, home school, status (incoming or current student).
  • If you have already arranged to work (or are working with) a GT faculty member, please provide their name, school, and email address.
  • A brief statement (less than a page) on why you want to join the ML PhD program.

Please send this information in one pdf, doc, or text file to:
ml-phd-apply@cc.gatech.edu

The applications will be reviewed by the ML PhD Faculty Advisory Committee.  The committee’s decision to admit will be based on (1) prior academic performance of the applicant in a B.S. or M.S. program at a recognized institution, including coursework and independent research projects, (2) prior work experience relevant to ML, (3) the applicant’s statement of purpose, and (4) the support of the GT faculty advisor (if applicable).

Timeline, Fall 2017

  • August 21: First day of class
  • September 1: ML PhD application deadline
  • September 15: Notification of decisions