Data Analytics graduate badge
The School of Computing now offers three 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.
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.
For More InformationSchool of Computing and Information Systems
Dr. Robert Adams, Ph.D.
C-2-100 Mackinac Hall
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.
- 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