Computational and Systems Biology
Code The Cure,
Build The Future
The Computational Biomedicine and Biotechnology (CoBB) Master of Science trains students in translating cutting-edge computational technologies into real-world advances in biomedicine and biotechnology.
Discover how you can build the future with our Computational Biomedicine & Biotechnology M.S. Program.
Interested in Applying?
Please tell us about yourself and a Pitt representative will contact you.
Healthcare breakthroughs
starting at the first line of code
The Computational Biomedicine and Biotechnology (CoBB) Master of Science trains students in translating cutting-edge computational technologies into real-world advances in biomedicine and biotechnology. Seated in the Department of Computational and Systems Biology, the program focuses on the interface between computer science and applied biology. Our courses are appropriate for students with backgrounds in either biological sciences or quantitative disciplines. Students in the CoBB program will learn to develop and apply novel computational, mathematical, statistical, and in silico techniques to meet current challenges in biotechnology. Our graduates are equipped with the necessary skills for successful biomedical data science careers in the health care and biotechnology industry, government, and academia.

Transform Your Science Degree
into a Thriving Career
The Master of Science in Computational Biomedicine & Biotechnology (CoBB) at the University of Pittsburgh School of Medicine is designed for aspiring scientists and engineers seeking to harness the power of computational methods to address the world’s most pressing biotechnical and biomedical challenges.
With a foundation in AI/ML, Genomics and Precision Medicine, Bioinformatics, Bioimage Analysis, Computational Modeling, Drug Discovery, and Big Data Analytics, CoBB prepares you for cutting-edge roles in pharmaceutical R&D, biotechnology, digital health, health informatics, and beyond.

Transform Your Science Degree
into a Thriving Career
The Master of Science in Computational Biomedicine & Biotechnology (CoBB) at the University of Pittsburgh School of Medicine is designed for aspiring scientists and engineers seeking to harness the power of computational methods to address the world’s most pressing biotechnical and biomedical challenges.
With a foundation in AI/ML, Genomics and Precision Medicine, Bioinformatics, Bioimage Analysis, Computational Modeling, Drug Discovery, and Big Data Analytics, CoBB prepares you for cutting-edge roles in pharmaceutical R&D, biotechnology, digital health, health informatics, and beyond.
Unlock High-Growth Career Paths
By joining the CoBB Master’s Program at the University of Pittsburgh, you’ll gain an in-demand skill set, positioning you as a strong candidate for advanced roles in pharmaceutical R&D, health informatics, biotechnology, and more.
Below are average national starting salaries (as of 2024) for roles aligned with CoBB graduates, with 0-1 year experience, according to Glassdoor, Indeed, and the Bureau of Labor Statistics (BLS):
- Bioinformatics Scientist: $136,000
- Machine Learning Engineer: $133,000
- Computational Biologist (Pharma & Biotech): $101,000
- AI Specialist (Healthcare): $112,000
- Data Scientist (Pharma & Biotech): $140,000
- Biotech Software Engineer: $139,000
- Computational Neuroscientist: $143,000
Reference: Glassdoor Salary Estimates
Biotech Software Engineer
$139,000
Machine Learning Engineer
$133,000
Computational Neuroscientist
$143,000
Bioinformatics
Scientist
$136,000
According to the U.S. Bureau of Labor Statistics, demand for professionals in computational biology, data science, and biomedical engineering is projected to grow much faster than average over the next decade, underscoring the robust career prospects in this space.
Consistently Ranked Among the World’s Best
#13
in Human Biological Sciences
Tier-1
Best Medical Schools: Research
(U.S. News & World Report)
#47
in the world in Biotechnology
#6
among U.S. medical schools in NIH funding ($567.9M)
Pitt holds prestigious worldwide positions in several leading rankings, including
-
- #8 in Biomedical Engineering
- #13 in Medical Technology
- #13 in Human Biological Sciences
- #47 in Biotechnology
- #59 in Medicine (QS World University Rankings)
- #84 in Life Sciences & Medicine (QS World University Rankings)
- #50 among Best Global Universities
- #62 in Biology and Biochemistry
- #34 in Cell Biology
- Tier-1 Best Medical Schools: Research (U.S. News & World Report)
- #95 in Life Sciences (Times Higher Education)
Latest News
Six high-paying jobs for computational biomedicine and biotechnology MS degree graduates
Are you considering a master’s degree in computational biomedicine and biotechnology but wondering what doors it might open? We’ve got you covered!
Pitt alumnus Arjun Singh advances cancer research at UPMC Hillman Cancer Center
When Arjun Singh was exploring graduate school programs, he knew he wanted a degree that combined his interests in biotechnology and computer science. This led him to Pitt.
CoBB alumnus Abish Pius drives innovation as a data scientist at U.S. Steel
As a data scientist at U.S. Steel, Pitt alumnus Abish Pius, ‘20, is inspired by anything new and up and coming in the world of technology.
Alumni success story: Sneha Mittal’s journey from science fairs to cancer research frontiers
CoBB alumna Sneha Mittal has landed a job that fuels her passion for cancer research. She now works as a bioinformatics analyst in New York City.
Alumni success story: Glenn Mersky, clinical informatics specialist
CoBB graduate Glenn Mersky is working at the intersection of biology and machine learning to address key questions in cancer research.
Unlock your potential: Attend an informational webinar for CoBB on May 20
Are you interested in learning the skills that can help you innovate for life? The Computational Biomedicine and Biotechnology MS program may be the perfect fit for you.