A checklist is the list of requirements to complete this program and receive the award, as the college publishes it in its catalog. It is the same for everyone. It does not say what you have completed; that comes from applying your own record.
Program
- Award
- Post-Baccalaureate Certificate
- Credential class
- ceterms:PostBaccalaureateCertificate
- Catalog edition
- 2026-2027 Catalog
- Checklist type
- degree-program
- Description
- The Post-Baccalaureate Certificate in Machine Learning Biomedical Sciences applies machine lea rning 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 apply ing problem specific models in course projects.
Identifiers
- IPEDS UNITID
- 230171
- CourseShelf checklist
- CK_230171_3f85f58e
- CollegeTransfer.Net
- Institution Transfer Profile
- Source
- CourseShelf publish 61
Requirements to complete
Every course or condition the catalog lists, in the catalog's order.
12 credits
0 items
Complete the following 6 Credits:
2 items
- As published: “Programming for Machine Learning in Life Sciences (Prerequisites: Admission to program.)”3
- As published: “Machine Learning for Life Sciences (Prerequisites: Admission to program.)”3
Complete 6 credits from the following:
Complete 6 credits from the following: · 4 items
- As published: “Machine Learning for Drug Discovery (Prerequisites: CS 6330 and CS 6331.)”3
- As published: “Machine Learning for Medical Imaging (Prerequisites: CS 6330 and CS 6331.)”3
- As published: “Machine Learning for Genomics, Transcriptomics and Proteomics (Prerequisites: CS 6330 and CS 6331.)”3
- As published: “Special Topics in Machine Learning for Life Sciences (Prerequisite: Instructor Permission)”1-3
Source. Utah Tech University, catalog 2026-2027 Catalog — https://catalog.utahtech.edu/programs/computing/machine-learning-for-life-sciences-graduate-certificate/index.html. Captured page pages/0361.html.gz. Assembled from the institution's published catalog as captured; every record names its captured page and source URL. Assembled, not asserted.