PhD Data Science at Stony Brook University

Programme overview

The PhD in Data Science is jointly offered by the Departments of Applied Mathematics and Statistics and Computer Science. Doctoral students take the same 10 core courses as MS students, two electives and 42 additional elective credits including at least 18 thesis research credits, for a 78-credit minimum, and sit a written qualifying exam at the end of the first year.

Faculty: College of Engineering and Applied Sciences | Department: Applied Mathematics and Statistics and Computer Science (joint) | Duration: Minimum 78 credits | Study mode: full-time | Location: Stony Brook, NY, United States

What you will study

Ten core courses in probability, data analysis, statistical learning, statistical computing, computer science fundamentals, data management, big data systems and big data analysis, plus electives and thesis research.

Official programme page

Application information

Entry requirements

Bachelor's degree in computer science, data science, statistics, mathematics, a natural science, engineering, an applied science or social science, with fluency in calculus and at least one programming language; minimum cumulative GPA of 3.0 and 3.0 in pertinent courses; GRE not required; three letters of reference; personal statement; TOEFL iBT 90 (doctoral) or IELTS 6.5 with no subsection below 6 for non-native English speakers; provisional admission possible.

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 School: the application fee is $100 (limited exceptions). Deadlines vary by program; for fall applications considered for funding the deadline is typically January 15.

Apply through the official page: https://www.stonybrook.edu/grad/admissions/apply-graduate-programs.html

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