PhD Operations Research at Georgia Institute of Technology

Programme overview

A doctorate training researchers who integrate optimisation, stochastic processes, simulation and machine learning, for industry, government and academia.

Faculty: College of Engineering | Department: H. Milton Stewart School of Industrial and Systems Engineering | Study mode: full-time | Location: Atlanta, GA, United States

What you will study

Students choose an Optimization, Stochastics or Applications track. Domain core of six courses: linear, discrete and nonlinear optimisation, two stochastic processes courses and simulation theory. Plus 3+ depth and 2+ breadth electives, a comprehensive exam, a second-year paper and a dissertation proposal by the end of the third year.

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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