Computational biology prepares graduate students to analyze complex biological data using advanced computational and statistical methods, supporting careers in research, biotechnology, health sciences and data-driven fields. The certificate emphasizes the application of computation to “big data” in biology, enabling students to identify patterns, trends and relationships across diverse biological systems. Coursework includes training in areas such as bioinformatics, statistics and scientific programming, along with flexible electives that allow students to tailor the program to specific research interests. Graduates develop proficiency in designing and implementing computational analyses and are well positioned for opportunities in academia, government and industry.

College of Sciences and Mathematics Department of Biological Sciences

Programs of Study

The Graduate Certificate in Computational Biology prepares students to analyze complex biological data using computational, statistical and bioinformatics methods. Students build skills that support research and careers in biotechnology, health sciences, academia, government and data-driven biological fields.

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