Course Overview

The Bioinformatics and Computational Biology program at the University of Minnesota Twin Cities is designed to train students in the interdisciplinary field of biology and computational sciences. The program focuses on developing skills to analyze biological data, model biological systems, and solve complex problems in areas such as genomics, proteomics, and systems biology. Unique features include a strong emphasis on hands-on research and access to cutting-edge computational tools.

Career Prospects

Graduates are well-prepared for careers in biotechnology, pharmaceuticals, academic research, and data science roles within the life sciences sector. The program equips students with skills in data analysis, programming, and biological interpretation, making them competitive in a rapidly growing field.

Key Faculty and Staff

While specific faculty names are subject to change, the program is supported by experts from the College of Biological Sciences and the Department of Computer Science and Engineering, ensuring a robust interdisciplinary approach.

Unique Facilities and Partnerships

Students benefit from access to the Minnesota Supercomputing Institute, which provides high-performance computing resources for biological data analysis. The university also collaborates with local biotech industries and research institutions, offering opportunities for internships and networking.