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M.S. Program

Our Master’s in Statistics program prepares students for a career in modern statistics and data science either as a researcher or a data analyst in a data-driven industry. The program is built on four components:

● Core Statistical Courses: A sequence of courses that give students a thorough grounding in statistical theory    and modern statistical computation.

● Elective Courses: Elective courses students take to enhance their skills. With permission from the Institute of Statistics, students may take non-statistical courses.

● Practicum: A practicum class designed to train students in hands-on data analytical skills. Students take on statistical consultancy cases from real clients.

● Statistics Seminars and Master’s Thesis: Students are exposed to real statistics research in weekly seminars.
The Master’s Thesis is the final part of the degree program; under the guidance of a faculty member, the student performs research in a chosen area of statistics,allowing them to develop deep knowledge of that area.

A unique feature of our Master’s Program is that each student chooses one of three specialization tracks: Data Science, Industrial Statistics, and Biostatistics. The degree requirements for each specialization may be found on their page. The normative time to degree is 4 semesters.