The M.S. in Data Science and Analytics program comprises three semesters in a lock-step, cohort format. However, working professionals can complete the program on a part-time basis, extend the length of the program and take courses in the summer. Full-time students also have the option of completing the program in 12 months by taking their electives in the summer.
Besides the eight required and three elective courses, students will participate in boot camps covering topics such as linear algebra, R programming, data visualization, Tableau, advanced R, big data programming and SAS.
Students will also complete Insight Sprints throughout the program.
- Industry partners provide real problems with data for insights and solutions.
- Student teams work with faculty from across the entire university as well as corporate participants.
- Students get feedback during weekly meetings over a 6- to10-week period.
- Students engage in practical application of machine learning and predictive analytics.
Students in the Data Science and Business concentration will take all required courses for the M.S. in Data Science and Analytics program as well as the elective course MSA 8200 – Predictive Analytics.
Students in the Legal Analytics concentration will take all required courses for the M.S. in Data Science and Analytics program as well as the elective course MSA 8350 – Legal Analytics.
Below is the course sequence for Full and Part Time Students. Visit the catalog for more information on required courses and available electives.
Full-time Students
Pre-requisite Requirements
Academic knowledge of Calculus I, II and III (Multivariate), Linear Algebra and Basic Programming are required. Applicants who need a math/programming refresher or lack a demonstrated knowledge of advanced calculus, linear algebra and basic programming knowledge may be required to take the courses below in the summer prior to starting the program. If required, applicants will be notified in their admission decision letter.
- MATH7100 (Basic Math for Analytics)
- MATH7110 (Mathematical Foundations for Analytics)
- CSC7003 (Foundations for Programming)
Fall 1
Spring
Summer
Fall 2
Visit the catalog for information on available electives.
- Elective 1
- Elective 2
- Elective 3
Part-time Students
Visit the catalog for information on available electives.
Fall 1
Spring 1
Summer
- Internship (Optional)
- Elective 1
Fall 2
Spring 2