M.S. in Computational Biology

Making sense of these advances in biomedical science and of the knowledge explosion in domains such as genetics, drug design, neuroscience, and environmental health requires both a sophisticated understanding of biological questions and powerful analytical tools to solve them. The integrated discipline of computational biology/bioinformatics represents the application of modern computer science, statistics, and mathematics to exploring biological and biomedical problems. Carnegie Mellon University combines its world-class strengths in computer science and biology with its strong tradition of interdisciplinary research into a unique training program in this emerging field.

The M.S. in Computational Biology program in the Department of Biological Sciences enrolls students who desire a more immediate career in industry or who wish to explore computational biology without committing to a doctoral program. It also draws returning professionals who seek to enhance their skills and practices in this new interdisciplinary field.

Coursework consists of three Core Courses and a number of electives in a wide array of disciplines such as computer science, machine learning, math, statistics, biology, chemistry, biomedical engineering, and information management. Students have the option of conducting in-depth research in addition to coursework, and are also encouraged to seek external internships after their first year. Students pursue this degree either full-time or part-time; full-time students complete the program in 3-4 semesters.