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Data Analytics graduate badge

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The School of Computing now offers eight graduate-level digital badges. A digital badge, or simply "badge," recognizes your completion of a coherent and meaningful academic experience. A badge allows you to promote academic achievements online more effectively and in different venues than with a transcript.

Visit the program website for more information.

Program Overview

The School of Computing's data analytics badge (not a degree or certificate) is designed to prepare students in the following areas:

  • Analyze, develop, and apply formal models of biomedical decision-making.
  • Apply algorithms for biomedical data mining and bio-sequence analysis.
  • Assess and evaluate data mining software used in bioinformatics and medicine.
  • Compare and contrast various machine learning algorithms and relate them to human learning processes.
  • Describe current research topics in machine learning.
  • Develop new and innovative visualizations to support information exploration.


Completion of a bachelor's degree, and evidence of object-oriented programming skill is required for admission.

Why Earn a Digital Badge at Grand Valley?

  • Badges document knowledge, skills, and competencies you've gained through various learning and professional development opportunities.
  • Pursuing a badge, either in continuing education or while completing a degree, can enhance your education.
  • Digital badges can be displayed on social media, websites, and in emails.
  • Completing a badge is an opportunity for you to highlight particularly marketable and desirable skills to potential employers.

Helpful Links

For More Information

School of Computing and Information Systems

Dr. Robert Adams, Ph.D.
C-2-100 Mackinac Hall
(616) 331-2060

Admissions Office

Location & Format

Classes are offered on Pew Campus in downtown Grand Rapids.

Format: Face To Face


The data analytics badge is comprised of three courses (9 credits). Classes are offered on Pew Campus in downtown Grand Rapids.

Required course:

  • CIS 661 - Introduction to Health and Bioinformatics

and two of:

  • CIS 635 - Knowledge Discovery and Data Mining
  • CIS 665 - Clinical Information Systems
  • CSI 671 - Information Visualization
  • CIS 677 - High-performance Computing
  • CIS 678 - Machine Learning