Computational Biology Department
Computational Biology Department
Master of Science in Automated Science: Biological Experimentation
The M.S. in Automated Science program is the first of its kind and provides training for students to play roles in the development of highly automated systems for doing science. It provides training in the principles and hands-on use of robotic laboratory equipment, the fundamental computational biological methods for constructing predictive models in biology and medicine, and the methods of active machine learning and AI for automatically and iteratively choosing experiments to achieve a given goal. The program is designed for a diverse applicant pool and will be especially valuable to students with undergraduate degrees in biology seeking to gain advanced computational skills for jobs in the laboratory automation industry. Opportunities also exist for successful graduates to transition to Ph.D. programs.
Master of Science in Computational Biology
The M.S. in Computational Biology program seeks to train the world's best computational biologists at the master's level. The curriculum provides both breadth and depth of training in computational biology, and is built on a solid foundation of biology, computer science, statistics and machine learning (data sciences). The program is designed for students with backgrounds in quantitative and/or life sciences. Students often participate in summer research internships in life sciences, industry or academic research laboratories. MSCB graduates are prepared for rewarding jobs in industry or to pursue their doctoral degrees at top universities.