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Technological advances in the past 15 years have revolutionized biological sciences, as they have allowed large-scale simulations and high-throughput experiments throughout the tree of life. Unarguably, there is a need for computational methods that enable us to efficiently store, analyze and visualize the plethora of biological information available. Scientific methods from many areas of computer science such as machine learning, graph theory, scientific computation, visualization and databases, have been employed to address problems in biological sciences, while projections support that biological-related research in those areas will continue to increase in the next decade.

The minor in computational biology will provide students with engineering, physical or biological majors the foundations necessary to build efficient computational models and algorithms, use state-of-the-art techniques for scientific analysis and create scalable infrastructure environments for biological and biotechnological applications.

Minor Requirements