You will learn
- Learn the basics of computer programming.
- Locate, access, analyze and visualize biomedical data set using appropriate tools and programs.
- Understand and apply various machine learning techniques and data analytics for solving real world biological problems.
- Communicate effectively with biomedical researchers and computational data analysts in a team science environment.
Program Application Deadlines
The flexible one-year curriculum consists of 15 credits of core classes (12 credits can be transferred into selected Master’s Programs)
We accept students in the fall semester only.
Domestic Student Deadline
July 1
International Student Deadline
January 2
Overview
Biomedical Data Science has become an integral part of biomedical research. As a result, biomedical scientists with data science knowledge are advantaged on multiple fronts. This one-year BioMedical Data Science (BMDS) Certificate Program is designed to provide students with the basic data science skillset in the context of biomedical research data. At the completion of this certificate the students will be able to:
- Communicate constructively with Data scientists
- Can analyze their own dataset
- Can explore the large datasets available in the public domain, therefore missing an important opportunity to mine big data resources.
Therefore, training researcher the basics of data science is crucial to advance scientific discovery.
Courses:
| Course Number | Course Title | Credits | Semester |
|---|---|---|---|
| BIOS 6601 (Core substitute) | Applied Biostatistics 1 | 3 | Fall |
| BSBT 6112 (Core) Must be taken with BSBT 6113 |
Intro to Biocomputing | 2 | Fall |
| BSBT 6113 (Core) | Data Science with R | 1 | Fall |
| BIOS 6642 | Intro to Python | 2 | Spring |
| BIOL 6764 | Biological Data Analysis | 3 | Spring |
| MOLB 7910 | Practical Computational Biology for Biologist: R | 2 | Spring |
| MOLB 7900 | Practical Computational Biology for Biologist: Python | 2 | Spring |
| BIOS 6310 (Core) | Practical Clinical Informatics | 3 | Spring |
| BIOE 5420 | Data Science and Analytics of Continuous Clinical Data | 3 | Spring |
| BSBT 6939 | Internship | 3 or more | Summer |
Note: students usually acquire up to 12 credits of course works, plus up to 3 credits of internship, for the accumulation of at least 15 credit hours to complete the certificate program.
