M.S. in Data Science and Analytics

Duration	12 Months
Level	Masters Program

Robinson’s Master of Science in Analytics students learn how to truly understand Big Data by pinpointing underlying patterns, predicting the future, and harnessing that power to improve people’s lives
Unlike other programs of its kind, Robinson’s Master of Science in Analytics is housed in a business school. Students have unmatched opportunities to apply technical concepts to actual business problems
The M.S. in Data Science and Analytics program comprises three semesters in a lock-step, cohort format
Full-time students also have the option of completing the program in 12 months by taking their electives in the summer
Concentration: Legal analytics, and Data Science in Business

Class 12th	No specific cutoff mentioned
Bachelors	No specific cutoff mentioned International credentials must be equivalent to a U.S. four-year baccalaureate degree from an accredited institution, which will be determined by an in-house evaluation or a professional course-by-course evaluation depending on your college, school or institute of interest Academic knowledge of Calculus I, II, and III (Multivariate), Linear Algebra, and Basic Programming are required. Applicants who need a math/programming refresher or lack a demonstrated knowledge of advanced calculus, linear algebra, and basic programming knowledge may be required to take the courses below in the summer prior to starting the program
Exams	TOEFL: 90 IELTS: 6.5 GRE: Accepted GMAT: Accepted The GMAT is preferred, but applicants may submit GRE scores
Additional info	While work experience is not required, it is preferred Master of Science in Analytics students may be required to complete prerequisite courses for an additional fee

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