Post Baccalaureate Certificate in Machine Learning for Life Sciences
Program Description
The Post Baccalaureate Certificate in Machine Learning for Life Sciences applies machine learning principles to problems in the life sciences, including drug discovery, medical imaging, and omics. After building a foundation of computer programming and machine learning, students will gain practical experience by applying problem specific models in course projects.
Post Baccalaureate Certificate in Machine Learning for Life Sciences Requirements
15 credits
Code | Title | Hours |
---|---|---|
Choose 15 credits from the following: | ||
CS 6330 | Programming for Machine Learning in Life Sciences (Prerequisites: Admission to program.) | 3 |
CS 6331 | Machine Learning for Life Sciences (Prerequisites: Admission to program.) | 3 |
CS 6341 | Machine Learning for Drug Discovery (Prerequisites: CS 6330 and CS 6331.) | 3 |
CS 6342 | Machine Learning for Medical Imaging (Prerequisites: CS 6330 and CS 6331.) | 3 |
CS 6343 | Machine Learning for Genomics, Transcriptomics and Proteomics (Prerequisites: CS 6330 and CS 6331.) | 3 |
CS 6349R | Special Topics in Machine Learning for Life Sciences (Prerequisite: Instructor Permission) | 1-3 |
Admission Requirements
Completion Requirements
- Complete all coursework with a B- or higher.
- Complete CS 6330 and CS 6331.
- Complete 9 credits from CS 6341, CS 6342, CS 6343, CS6349R
- At least 12 credits at Utah Tech University for residency.
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Receive at least a 3.0 GPA for the program.