M.S. in Data Science

Duration	1.5-2 Years
Level	Masters Program

This degree covers basic and advanced essentials in statistical inference, machine learning, data visualization, data mining, and big data methods, all of which are key for a trained data scientist
The degree is housed in the Department of Computer Science and offered in collaboration with the Department of Mathematical Sciences
The interdisciplinary Data Science program offers students the choice of a Computational or a Statistics track while equipping them with the fundamentals and application tools to solve Data Science problems
The program is spread across 30 credits and contains projects involving big datasets, classification methods, variable selection, and deep learning to name a few
Students will work on assignments covering both theory and applications on real data with support available from the professor and teaching assistant
The MSDS program has computational and statistics tracks that students must choose from at admission time. These tracks have different core courses but share the same admission requirements and electives

Class 12th	No specific cutoff mentioned
Bachelors	No specific cutoff mentioned Applicants must have completed a four-year undergraduate program accredited in the United States, or it's equivalent, and demonstrate strong academic achievement in an appropriate discipline Students require a basic background in calculus, linear algebra, probability, computer programming, data structures, and algorithms
Exams	TOEFL: 79 IELTS: 6.5 No sub-score lower than 6.0 GRE: Accepted
Additional info	Students who seek a master's degree in an academic discipline different from that of the bachelor's degree may be admitted to a master's degree program but may be required to complete appropriate undergraduate and/or graduate prerequisites in addition to the normal graduate degree requirements of the program

Contact form