Javascript is currently not supported, or is disabled by this browser. Please enable Javascript for full functionality.

Skip to Main Content
Skip to main content
Grand Valley State University    
2017-2018 Undergraduate & Graduate Catalog 
  Mar 24, 2019
2017-2018 Undergraduate & Graduate Catalog [Archived Catalog]

Data Science and Analytics - Program Description


This Professional Science Masters 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 and information systems 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 Requirements

In addition to the University requirements of admission, all students seeking a degree for the MS in Data Science & Analytics must also meet the following requirements:

  • Grade point average of 3.0 (B) from all undergraduate coursework or a satisfactory score on the GRE or GMAT test.
  • Resume detailing work experiences and accomplishments.
  • Personal statement of career goals and background experiences, including an explanation of how this program will help achieve educational and professional objectives.
  • Recommendations: Two professional or academic recommendations received online, addressing the candidates potential for graduate study completion. You will provide the emails of two references in your account at, and they will be sent a link to fill out for their online recommendation.

Applicants for the Professional Science Masters in Data Science & 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.