2023-2024 Undergraduate & Graduate Catalog
Data Science and Analytics
Website: gvsu.edu/acad/data-science-and-analytics-ms.htm
This Professional Science Master's degree in data science and analytics provides students from various disciplines with the fundamental analytics background and tools necessary to understand and work with big and complex data sets in any discipline. It is designed to allow a statistics or computing student to gain additional cross-disciplinary background, or for a student of any discipline to develop the necessary skills and knowledge to solve complex data intensive problems. Students take courses in both computer science and statistics, leading to a Capstone that applies skills in both disciplines to interdisciplinary problems.
Admission
In addition to the university requirements of admission, all students seeking a degree for the M.S. in data science and analytics must also meet the following requirements:
- Grade point average: 3.0 (B) from all undergraduate coursework or a satisfactory score on the GRE or GMAT test.
- Resume: Include detailed work experiences and accomplishments.
- Personal statement: Include career goals and background experiences, along with an explanation of how this program will help achieve educational and professional objectives.
- Recommendations: Two professional or academic recommendations received online, addressing the candidate's potential for graduate study completion. You provide two email addresses of references in your account at gvsu.edu/gradapply and they will be sent a link to complete their online recommendation.
Applicants for the Professional Science Master's in data science and analytics must have an underlying base of knowledge relevant to graduate studies in the statistics and computing fields. This knowledge can be demonstrated by previous academic study or work experience. Consultation with a program faculty advisor will be necessary to verify appropriateness of work experience as a substitute for academic preparation.
Minimum Number of Hours for Graduation
12 courses (36 credit hours) comprise the Master of Science in data science and analytics degree.
Program Requirements
The following programs are available: