Certificate in Digital Health
Certificate Code - CG80
Graduation requirement: Students must earn a minimum cumulative GPA of 3.0 and a minimum GPA of 3.0 in courses applied to the certificate.
| Code | Title | Hours |
|---|---|---|
| Health Sciences Electives | 6 | |
| Select six credits from the following options: | ||
| Neuromechanics | ||
| Computational Neuroscience | ||
| Principles and Applications of Biomedical Engineering | ||
| Bioinformatics Resource for Epigenomic Data Analysis | ||
| Computer Science Electives | 6 | |
| Select six credits from the following options: | ||
| Applied Biostatistics 3 | ||
| Application of Neural Networks | ||
| Big Data Engineering | ||
| Machine Learning | ||
| Pattern Recognition | ||
| Total Hours | 12 | |
Certificate Learning Outcomes
Digital Health
- Understand the range of technologies in the areas of artificial intelligence, machine learning and data science.
- Understand the the general areas of human health and healthcare.
- Understand applications and potential applications of digital technology to human health and healthcare.
- Be able to apply digital technologies and methodologies to explore and understand problems in human health and healthcare.
- Be able to evaluate the efficacy and utility of digital technologies to problems and issues in human healthcare.
- Create or identify improvements in human healthcare through the application of digital methods and technologies.