M.S. Data Science and Analytics

Course Overview

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General Eligibility

Students are expected to have a bachelor’s degree in engineering or a related field. Applicants with different backgrounds are encouraged to apply. Students are expected to have taken calculus 2 and a statistics course, to be proficient in programming, and to be knowledgeable in the topics of microprocessor systems, computer architecture or CAD-based computer design, electronics or VLSI, data structures and algorithm analysis. The admission committee will evaluate the application holistically to determine applicant suitability using several factors such as academic performance, GPA, GRE scores, background and experience. The admission committee may assign remedial courses on a case-by-case basis.

Submit official transcripts from previous institutions attended. The desirable minimum bachelor GPA is 3.0 (of a 4.0 maximum) in the last 60 credits attempted prior to graduation.

Submit the Graduate Record Examination (GRE) scores. The GRE requirement is waived for students with a baccalaureate degree from EECS and a GPA of at least 3.25 in the last 60 credits.

International students from non-English-speaking countries must be proficient in written and spoken English as evidenced by a score of at least 500 (paper-based test) or 213 (computer-based test) or 79 (Internet-based test) on the TOEFL or a score of at least 6.0 on the IELTS.

Part Time Work Details

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Language Requirement

• IELTS 6.5 overall, with no less than 6.0 in any components.