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Earning a doctoral degree at Georgia Tech opens many doors for our students. There are several reasons to continue your education to this level: a deep interest in the subject of your program; a desire to pursue an academic career as a researcher and/or educator; or to continue to sharpen your skills in order to work in a particular industry.
Georgia Tech offers a wide variety of options for graduate education. Our six colleges and 29 schools offer more than 100 master’s and doctoral programs as well as a robust selection of interdisciplinary and certificate programs. The six colleges are: Business; Computing; Design; Engineering; Liberal Arts; and Sciences.
Machine Learning (Ph.D.) Course Description and Catalog. The curriculum for the PhD in Machine Learning is truly multidisciplinary, containing courses taught in eight schools across three colleges at Georgia Tech: the Schools of Computational Science and Engineering, Computer Science, and Interactive Computing in the College of Computing; the ...
The School of Electrical and Computer Engineering participates in the interdisciplinary Machine Learning Ph.D. Program. The Machine Learning (ML) Ph.D. program is a collaborative venture between Georgia Tech's colleges of Computing, Engineering, and Sciences.
The program of study for each doctoral degree program must include, at a minimum, 30 approved credit hours. Admission to Candidacy Doctoral students customarily apply for degree candidacy after completing at least three semesters of coursework beyond the bachelor's degree.
The Ph.D. in Computer Science is a joint program between the Schools of Computer Science, Interactive Computing, Computational Science & Engineering, and Cybersecurity & Privacy within the College of Computing.
