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Where Computer Science Meets Biology

Built for computer science professionals entering the life sciences, this program develops foundational fluency in biology, bioinformatics, and statistical analysis for data-driven research. Through applied coursework, you'll gain hands-on experience in bioinformatics programming, molecular biology, and statistical genetics, strengthening their ability to model protein structures, analyze large-scale biological datasets, and interpret genetic data.

The curriculum bridges computer science and biology by integrating computational methods with biological insight. Graduates complete the certificate prepared to apply computational biology and bioinformatics techniques to real-world challenges in genomics, structural bioinformatics, and biomedical research, and to collaborate effectively in interdisciplinary research and industry environments.

The Master's Certificate in Computational Biology for Computer Scientists will allow you to:

• Apply bioinformatics methods to analyze protein structures, predict functions, and assess therapeutic potential. 
• Interpret molecular biology concepts to understand genetic variation, gene expression, and cell communication in health and disease. 
• Develop R programming skills to analyze large biological datasets using statistical models. 
• Utilize statistical genetics techniques to study genetic associations, inheritance patterns, and disease risk factors. 

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