Biomedical Data Science Certificate

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.

No Longer Accepting Students

The Biomedical Data Science Certificate will no longer be accepting students. 

Curriculum Highlights

You will learn:

  • The basics of computer programming.
  • To locate, access, analyze and visualize biomedical data set using appropriate tools and programs.
  • To understand and apply various machine learning techniques and data analytics for solving real world biological problems.
  • To communicate effectively with biomedical researchers and computational data analysts in a team science environment.

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.

At the completion of this certificate the students will be able to:

  1. Communicate constructively with Data scientists
  2. Can analyze their own dataset
  3. 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.


Intro to Biocomputing | BSBT 6110 | 3 credits, Fall semester

Computational Chemistry | CHEM 5510 | 3 credits, Fall semester

Molecular Informatics | CHEM 4580/5580 | 2 credits, Fall semester

Statistical Methods in Genomics | BIOS 7659 | 3 credits, Fall semester

R for Data Science | BIOS 6640 | 2 credits, Fall semester

Applied Biostatistics 1 | BIOS 6601 | 3 credits, Fall semester

Intro to Bioinformatics | IMMU 6110 | 3 credits, Fall semester

Practical Computational Biology for Biologist: Python | MOLB 7900 | 2 credits, Spring semester

Biological Data Analysis | BIOL 6764 | 4 credits, Spring semester

Intro to Python | BIOS 6642 | 3 credits, Spring semester

Practical Computational Biology for Biologist: R | MOLB 7910 | 2 credits, Spring semester

Methods and Challenges in Observational Health Data Analysis | PMED 6410 | 3 credits, Spring semester

Intro to Public Health Informatics | BIOS 6685 | 3 credits, Spring semester

Data Science and Analytics of Continuous Clinical Data | BIOE 5420/4420 | 3 credits, Spring semester

Artificial Intelligence in Chemistry and Biochemistry | CHEM 4640/5640 | 3 credits, Spring semester

Internship | BSBT 6939 | 3 or more credits, Summer semester

Contact Us

Tzu Phang, PhD

Associate Professor of Bioinformatics
Director, Translational Informatics Computational Resources (TICR)
Colorado Center for Personalized Medicine (CCPM)
University of Colorado, Department of Medicine

Graduate School

CU Anschutz

Fitzsimons Building

13001 East 17th Place


Aurora, CO 80045


CMS Login