PhD Machine Learning at Georgia Institute of Technology

Programme overview

A research doctorate whose central goal is to train students to perform original, independent research in machine learning. The curriculum spans nine schools in three colleges.

Department: Multidisciplinary programme across the Colleges of Computing, Engineering and Sciences | Study mode: full-time | Location: Atlanta, GA, United States

What you will study

Four core courses (12 hours), one each from Foundations, Probabilistic and Statistical Methods, ML Theory and Methods, and Optimization; five electives from at least two areas such as Applications (Deep Learning, Computer Vision) and Computing and Optimization; responsible conduct of research, a qualifying exam, a 6-hour doctoral minor, a research proposal and a dissertation.

Official programme page

Application information

Entry requirements

Georgia Tech graduate programmes (institute-wide): a bachelor's degree or equivalent must be completed before enrolling (US degrees from a USDOE-recognised accredited institution). Applications are reviewed on academic record and preparation, and may include letters of recommendation and a statement of purpose. GRE/GMAT is not required institute-wide, though individual programmes may set it. International applicants need TOEFL iBT 4.5 overall (Speaking 3.5, Writing 4, Listening 4, Reading 4) or IELTS Academic 7.0 overall (Writing 5.5, Speaking 6.5, Listening 6.5, Reading 6.5), unless waived through a degree from an approved country or English-medium institution or a University System of Georgia ESL programme; some programmes require higher scores. Requirements and deadlines are set by each programme.

Requirements published at program group level.

Tuition is charged per credit, so the total depends on the modules you register for each year. Current fees are listed in the official fee schedule.

Graduate applications use one online graduate application (gradapp.gatech.edu) for all programmes and campuses; deadlines vary by programme and are published on each programme page.

Apply through the official page: https://grad.gatech.edu/

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