What will I learn?

Biology is advancing at an unprecedented pace due to the emergence of high-throughput empirical methods, large-scale analysis, and increasing use of theoretical, computational and statistical models aimed at a more mechanistic understanding of biological phenomena. The UCLA Department of Biomathematics has a rich and long history in mathematical and computational biology of combining these approaches and is one of the few departments that emphasizes all of these components.

The research interests of our department range from basic to applied fields such as mathematical and statistical genetics, mathematical physiology, theoretical biophysics, evolutionary and systems biology, molecular and medical imaging, oncology, and clinical pharmacology. We foster and train undergraduates, clinical master’s students, graduate students, and postdocs to understand empirical data, analyze it with cutting-edge algorithms, gain insight through the development of mechanistic, mathematical models, and collaborate with basic and clinical scientists in the design of novel, testable experiments.

Which department am I in?

David Geffen School of Medicine

Study options

Full Time (7 quarters)

Tuition fees
US$32,374.00 per year
Application deadline

Expected December 2021

Start date

Expected September 2022


David Geffen School of Medicine

10833 Le Conte Ave,



90095, United States

Entry requirements

For students from United States

Students must have a minimum score of 570 in paper based TOEFL.

For international students

High academic achievement in one scientific or mathematical field is required for admission. It is not necessary for an applicant to be proficient in both mathematics and biology, although some prior preparation in both fields is desirable.

IELTS Academic overall band score should be at least 7.0 is the minimum required.

TOEFL score on the paper and pencil test must be at least 560 or at least 87 on the internet-based test.

*There may be different IELTS requirements depending on your chosen course.