MS in Data Science Curriculum

Students with undergraduate coursework in Calculus, Linear Algebra, Statistics, and Programming with grades of B or better will be given direct entry into the program. Students without this coursework but with at least 2 years of industry experience will also be eligible for direct entry on a case-by-case basis.

For this program, 9 credits (three, 3-credit courses) will count as full time. Students earn 30 credits to complete this degree.

Data Science Leveling Courses (3 courses, 12 credits maximum)

Candidates who have not completed an undergraduate program of study in Mathematics, Computer Science, or Statistics or have not successfully completed (with a grade of B or better) academic courses in introductory Computer Programming in Python, Calculus, Linear Algebra, Probability and Statistics, are required to complete leveling courses. The graduate program director evaluates the unique background of each student at the time of acceptance into the graduate program to determine the number and type of leveling courses that are required. Some students may be required to complete up to 12 credits of leveling courses; others will be able to waive some number of these leveling courses based on prior undergraduate experience. An additional 30 credits of graduate-level coursework is then required to earn the MSDS degree.

The course sequence for the program is as follows:

3 credit courses: