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Grand Valley State University    
2018-2019 Undergraduate & Graduate Catalog 
    
 
  Nov 19, 2018
 
2018-2019 Undergraduate & Graduate Catalog [Archived Catalog]

Data Science and Analytics - Program Description


Website: www.gvsu.edu/grad/dsa

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 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 M.S. in data science and 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 candidate’s potential for graduate study completion. You will provide the emails of two references in your account at www.gvsu.edu/gradapply, and they will be sent a link to fill out for 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

Twelve courses (36 credit hours) comprise the Master of Science in data science and analytics degree.

Requirements for the M.S. in Data Science and Analytics are available at:

Master of Science in Data Science and Analytics