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The Biostatistics Doctoral Program provides students with a curriculum focused on biostatistical modeling and inference across diverse disciplines, encompassing bioinformatics, biological sciences, and veterinary medicine, alongside traditional applications in medicine, epidemiology, and public health. This distinctive approach leverages UC Davis's exceptional strengths, particularly its remarkable diversity in life sciences. Faculty within the Biostatistics group come from varied backgrounds and employ diverse methodological perspectives. The field of biostatistics utilizes quantitative techniques to address challenges in life sciences spanning multiple domains. It develops stochastic models, methodologies, computational algorithms, and visualization tools for analyzing data from genetics, bioinformatics, and medical, biological, agricultural, and environmental research. Students acquire expertise in survival analysis, statistical genetics, bioinformatics, epidemiological and environmental methodologies, longitudinal data interpretation, biological shape and trajectory analysis, generalized linear models, estimation techniques, model selection, bioassay, and experimental design for biological and medical investigations. Graduates emerge equipped with both qualitative and quantitative competencies essential for academic research, teaching, and developing stochastic models, analytical methods, algorithms, and visualization tools for life sciences data analysis.
An undergraduate major in mathematics or statistics is typical for Biostatistics graduate students, but is not required. However, because of the mathematical nature of some of the graduate coursework, students should be able to demonstrate good mathematical ability. Students should also demonstrate some exposure to courses in the life sciences (biological, environmental, medical and agricultural sciences).
The minimal background for entrance into the Ph.D. program is: a bachelor's degree with a 3.0 overall grade-point average; one year of calculus; a course in linear algebra; familiarity with a programming language; and upper-division work in mathematics and/or statistics.
TOEFL iBT - Minimum Score: 80
IELTS - Minimum Score: 7.0 on a 9-point scale
Duolingo English Test - Minimum Score: 115
Admission Deadlines
Priority: Dec 15
General: Mar 15
Space Available: May 15