The MS in Data Science provides an education in the theory and practice of data science including mathematical and statistical foundations, computational approaches, and communication considerations. In addition, the program covers data science-relevant probability and statistics, algorithms, big data systems, machine learning, data mining, and analysis of networks. Students who successfully complete the MS in Data Science should be able to design, conduct, interpret and communicate data analysis tasks and studies using methods and tools of statistics, machine learning, computer science, and communications.
Application. Official Transcripts / Diplomas / Degrees. Letter of Recommendation (1 optional). Statement of Purpose. CV. TOEFL iBT: 95 (Speaking: 22, Reading: 26, Listening & Writing: 24) OR IELTS 7.0 overall (Speaking: 6.5, Reading, Listening & Writing: 7.0). Description of Research/Work Experience. Prior Coursework: Prior coursework establishing quantitative ability (i.e. calculus, linear algebra, basic statistics etc.). Proficiency in programming languages.
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