Course Overview

The Computational and Systems Biology program at the University of California, Los Angeles (UCLA) is designed to train students in the integration of computational methods with biological systems. The curriculum emphasizes interdisciplinary approaches, combining biology, mathematics, and computer science to address complex biological questions. Students engage in research-focused learning with access to cutting-edge tools and methodologies.

Unique Features

This program stands out due to its emphasis on quantitative biology, offering specialized tracks in areas such as bioinformatics and systems modeling. Students benefit from UCLA's strong ties to leading research institutes and collaborative projects.

Career Prospects

Graduates are well-prepared for careers in academia, biotechnology, pharmaceuticals, and data science roles within life sciences. The program equips students with skills in data analysis, modeling, and experimental design, making them competitive in both research and industry settings.

Key Faculty and Staff

The program is supported by distinguished faculty from UCLA's Division of Life Sciences and related departments, though specific names are subject to change and can be verified via the university's official directory.

Facilities and Partnerships

Students have access to state-of-the-art computational labs and biological research facilities at UCLA. The university maintains partnerships with prominent research centers and industry leaders in biotechnology, enhancing opportunities for hands-on experience and networking.