2022-2023 Undergraduate & Graduate Catalog
Professional Science Master's
Admission
The following are required for admission to professional science master's (PSM) degree programs:
- Grade point average of 3.0 on a 4.0 scale from all undergraduate coursework or a satisfactory score on the GRE or GMAT
- 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
- Written recommendations from at least two individuals who are in positions to attest to the applicant's potential for successful completion of the program
- A base of underlying knowledge relevant to graduate study in one of the appropriate disciplines: health informatics and bioinformatics, cell and molecular biology, biostatistics, or data science and analytics. This can be demonstrated by previous academic study or work experience. Consultation with a program faculty advisor is necessary to verify appropriateness of work experience as a substitute for academic preparation. Candidates without sufficient relevant background experience may satisfy any deficiency with appropriate graduate or undergraduate courses, as recommended by a faculty advisor in the program and approved by the Admissions Committee and the program director.
Graduate Assistantships
Graduate assistants work with PSM program faculty and staff. Qualified, full-time candidates are selected on the basis of aptitude, interests, and background.
Graduate Programs
Each of the four M.S. programs are interdisciplinary, share a common core of courses, have a similar curriculum design, and a mandatory business/industry internship component, and can be characterized as a professional science master's degree program a graduate degree closely related to scientific workforce needs of business/industry. Specific details of the programs and specific requirements for each of the PSM degrees can be found in the Grand Valley State University Undergraduate and Graduate Catalog under the individual school/department/program listings.
Health Informatics and Bioinformatics, M.S.
Bioinformatics Focus, Health Informatics Focus
Health informatics and bioinformatics utilizes computer technology to manage and analyze information in the life and health sciences. This degree is granted by the School of Computing within the Seymour and Esther Padnos College of Engineering and Computing. More specific information about this program can be found in the Computer Information Systems section of the Grand Valley State University Undergraduate and Graduate Catalog.
Cell and Molecular Biology, M.S.
Biotechnology Emphasis
Biotechnology involves the industrial use of living organisms to produce food, drugs, and other products. This degree is granted by the Cell and Molecular Biology Department within the College of Liberal Arts and Sciences. More specific information about this program can be found in the Cell and Molecular Biology section of the Grand Valley State University Undergraduate and Graduate Catalog.
Biostatistics, M.S.
Biostatistics involves the application of statistical techniques to scientific research in the life and health sciences. This degree is granted by the statistics department within the College of Liberal Arts and Sciences. More specific information about this program can be found in the Statistics section of the Grand Valley State University Undergraduate and Graduate Catalog.
Data Science and Analytics, M.S.
Data science and analytics provides students with the fundamental analytics background necessary to work with big and complex data sets in any discipline. This degree is granted by the School of Computing within the Seymour and Esther Padnos College of Engineering and Computing. More specific information about this program can be found in the computer information systems section of the Grand Valley State University Undergraduate and Graduate Catalog.
Requirements
Common Core Courses
Requires four courses (12 credits), including:
- CMB 610 - Foundations of Biotechnology (3 credits) (Not required for data science and analytics.)
- PSM 650 - Ethics and Professionalism in Applied Science (3 credits)
- CIS 661 - Introduction to Health and Bioinformatics (3 credits) (Not required for data science and analytics.)
AND one of the following biostatistics courses (3 credits):
- STA 610 - Applied Statistics for Health Professions (3 credits)
- OR STA 622 - Statistical Methods for Biologists (3 credits)
Common Seminar Course
Requires two credits:
Internship
Requires four credits: