https://www.umflint.edu/graduateprograms/data-analytics-ms/
The MS in Data Analytics program is designed to connect people with existing or planned careers with the skills needed to do work in an increasingly data-driven world. The program provides core competencies in math and programming (in particular, in Python and SQL) and then allows students to customize their degree by taking specialized courses aimed at their intended career, be it pursuit of business, healthcare, or the social sciences.
Admission Information
The Graduate Programs Office serves as the primary source of information for all prospective graduate students, providing detailed guidance and resources to facilitate the application process. Up-to-date and comprehensive details regarding admissions procedures, requirements and deadlines can be found on the program page on the Graduate Programs website.
Prerequisites and Fast Track Options
Minimal prerequisites for the program include coursework in programming, calculus, and statistics. Students with undergraduate degrees that did not address these courses may need additional preparation before admission and commencement of the program. To this end, the following two options are in place to qualify for admission to UM-Flint graduate programs in CIT, and may be assigned as prerequisite material before enrolling:
Non-Credit Certificates
CIT offers non-credit certificates in three areas of preparation. Students must pass the certificate tests with scores of 85% or better, and provide proof of successful completion to the Graduate Programs office. Each of these guided self-study certificates are not for academic non-credit, are guided self-study of the topics, and takes approximately 4 weeks to complete per certificate.
Undergraduate Courses
For students with bachelor’s degrees that did not address the program’s prerequisites, the college offers an accelerated “Fast Track” program consisting of one or more of the courses listed below depending on transcript evaluation. This allows students from any background to prepare themselves for success in the MS DA program. Students must earn a grade of C (2.0) or better in each individual Fast Track course and must maintain a B (3.0) or better cumulative grade point average in all Fast Track courses.
Transfer of Credit
With department approval, students may transfer in, or elect as a graduate non-candidate for degree (NCFD), up to eight credits of graduate-level courses in computer science and information systems. Any exceptions should be reviewed by the program committee for exceptional cases such as the students transferring with new faculty to CIT at UM-Flint; however, the transferred credits cannot exceed 50% of the minimum credits to get the degree. See Transfer of Credit in the Graduate Study section for additional information on University of Michigan-Flint policies regarding the transfer of graduate credit.
Time Limit for Degree Completion
All requirements must be completed within six calendar years of initial enrollment in the program.
Academic Rules and Regulations
See the College of Innovation and Technology (CIT) , College of Innovation and Technology Graduate Programs , and Graduate Study sections for rules and regulations pertaining to all College of Innovation & Technology graduate programs.
