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.
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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
How a master’s degree can launch your machine learning career
The machine learning field is growing, and there is a need for innovative individuals to lead the discoveries of the future. Have you ever wondered where a master’s degree in Computational Biomedicine and Biotechnology (CoBB) will take you?
Graduate student Mehmet Hocaoglu applies computational techniques to clinical research
Mehmet Hocaoglu is a practicing rheumatologist and a student in the Computational Biomedicine and Biotechnology (CoBB) MS program.
Graduate student Hamid Javanshir pursues patent for pancreatic cancer research
Graduate student Hamid Javanshir is working on a provisional patent application for the novel drug candidates he designed through his original computational strategy.
Graduate Spotlight: Maura O’Malley, MS ‘26
Maura O’Malley is preparing for graduation from the computational Biomedicine and Biotechnology master’s degree program while making an impact as a research intern at Mass General Brigham.
5 benefits of earning a master’s degree in Computational Biomedicine and Biotechnology
What is it about a master’s degree that can set you apart from other candidates in the job market? Beyond the personal fulfilment of earning your diploma, there are tangible career benefits to pursuing a master’s degree.
How a master’s degree can jump-start your bioinformatics career
Have you ever wondered where a master’s degree in Computational Biomedicine and Biotechnology (CoBB) will take you? Read on to learn more about the bioinformatics scientist profession.