Stony Brook University campus

Engineering

MS Data Science at Stony Brook University

Stony Brook University, United States

Programme overview

The MS in Data Science is jointly offered by the Departments of Applied Mathematics and Statistics and Computer Science, with training in statistical analysis, big data analysis and management, and fundamentals of computing. It requires 36 credits including 10 core courses and 2 electives, with a capstone internship or master thesis.

Faculty: College of Engineering and Applied Sciences  |  Department: Applied Mathematics and Statistics and Computer Science (joint)  |  Duration: 36 credits (12 courses); typically 3 to 4 semesters  |  Study mode: full-time  |  Location: Stony Brook, NY, United States

What you will study

Ten core courses (Introduction to Probability, Data Analysis I, Statistical Learning, Statistical Computing, three Computer Science Fundamentals courses, Data Management, Big Data Systems, Algorithms and Networks, Big Data Analysis) plus two AMS or CS electives; capstone of a 3-credit internship or 6-credit thesis (AMS 585).

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 80 (master's) 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 applications are for fall entry with funding consideration; deadlines and any other entry terms vary by program.

Graduate School: the application fee is $100 (limited exceptions). Applications are submitted online through the Slate portal. Minimum cumulative GPA 3.00 on a 4.00 scale; GRE scores are listed on the application checklist and three letters of recommendation are required. Deadlines vary by program; for fall applications considered for funding the deadline is typically January 15.

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