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.

cathedral of learning

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)

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