Master of Science in Data Science (MS)

• Grade Requirements: An MSDS student must complete all program courses, including electives, with a grade of “B-” or higher. In addition, the overall program GPA must be 3.0 or higher. Failure to maintain a 3.0 grade point average, or two consecutive course sessions where a grade lower than B- has been earned, will result in academic probation in accordance with departmental policies.
• Credit Hour Requirements: 33 credit hours total required.
• Program Code: 8104MS
• CIPC: 307001

Admission Requirements

Applicants for admission into the Master of Science in Data Science program must possess a bachelor’s degree or be in the final stage of completing the degree. An overall GPA of 3.25 is required from the undergraduate program in which the bachelor’s degree is earned.

Applicants will submit:

• Completed application.
• Current resume.
• Official transcripts from every institution of higher education attended.

Additional Admission Requirements for International Students

Scores from the GRE.

All international students and any applicant educated outside the U.S. must demonstrate proficiency in English. For applicants for whom English is not their first language, a minimum English language proficiency score is required.  (TOEFL (Test of English as a Foreign Language) = 75 overall, with a minimum of 17 in each category: OR IELTS (International English Language Testing System) 6.5 overall, with a minimum of 6.0 in each category).

Application

The application for admission to the Master of Science in Data Science program must be submitted online. Official transcripts from each institution of higher education attended and all test scores must be sent directly to the WSU School of Computing.

Deadlines for application are October 15, for students enrolling in spring semester and March 15, for students enrolling in fall semester. Completed applications are considered by the Admissions Committee after each application deadline.

Leveling Courses

As determined on a case-by-case basis, students with non-computer science degrees may be required to take leveling courses in technology-related areas that will adequately prepare them for the MS core courses. The minimum leveling courses for non-computer science degrees are the following:

• Integral calculus:  MATH 1216  or MATH 1220  or QUAN 2400 .
• Descriptive and inferential statistics: MATH 3410  or MATH 3450  or QUAN 3610  or COMM 3150  or PSY 3600 .
• Linear algebra: MATH 2270 .
• Programming basics: CS 2420 .
• Database basics: CS 2550  or MIS 3210 .