Computational and Systems Biology majors select a coherent integration of courses from one of three designated tracks: bioinformatics, biological data sciences, or dynamical modeling. The synergy for all tracks is integrative systems, information, and computational systems modeling sciences in biology. The focus is primarily quantitative, as mastery of advanced quantitative skills is essential for multidisciplinary understanding. Each track emphasizes different systems or modalities, and modeling or other computational approaches. Students choose one of the three tracks when they declare the major. Well-justified customized tracks may also be approved by the faculty.<br><br>The biological data sciences track addresses a diverse set of biological questionsranging from medicine, to genomics, physiology, pharmacology, neuroscience, ecology, and evolutionusing recent tools and advances in mathematics and computation'specifically machine learning, statistical data sciences, and informatics. Biological data sciences leverages new and developing courses within computational and systems biology and across UCLA, and greatly aids students who aim to go directly into industrybiotech, pharmaceuticals, and moreas well as computational biology graduate school. The track has a strong focus and deep integration with life sciences.