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.
The application deadline is determined by the home unit through which you apply.
Georgia Tech Transfer Students
If you are already enrolled in a PhD program in one of the eight participating schools, you can also apply to the ML PhD program as a transfer student. You will be subject to the standard ML curriculum and qualifying requirements, so this is recommended only for graduate students in their first or second year. We cannot accept current MS students directly into the ML PhD program.
To apply as a transfer, please email the following as a single pdf file to firstname.lastname@example.org:
1) statement of purpose
2) Georgia Tech transcript
3) change of major form (filled out with your information)
If you have been working with a GT faculty member who is affiliated with the ML program, please discuss this in your statement.
Transfer application are reviewed once a year in January. The deadline for transfer applications for Fall 2018 admission is December 31, 2017.