This 18-month, 42-credit-unit program offers excellent training in biostatistics and statistical genetics for students who earned undergraduate or higher degrees with majors in mathematics, statistics, computer science, biomedical engineering or another related field. It prepares graduates for rewarding employment in academia and industry and for further graduate studies. Students will choose between a traditional biostatistics pathway or a statistical genetics pathway. An internship is a required component of the program, and students have the option to do a thesis project or to enroll in approved elective courses. Students also have the opportunity to enhance their research and statistical training through a paid research assistant position.

Summer Year 1
MSB 503Statistical Computing with SAS2
MSB 560Biostatistics I3
MSB 506Introduction to R for Data Science2
Fall Year 1
MSB 570Biostatistics II (first half of semester)3
MSB 515Fundamentals of Genetic Epidemiology (second half of semester)3
MSB 550Introduction to Bioinformatics3
Pathway course3
Spring Year 2
MSB 617Study Design and Clinical Trials3
MSB 512Ethics in Biostatistics and Data Science2
Pathway course
Elective from approved list
Summer Year 2
MSB 630Internship (The internship may be taken for 3 or 6 credit units. If it is taken for 3 units, students will also enroll in an approved elective to fulfill the remaining 3 required units.)3
Fall Year 2
MSB 600Mentored Research (Students will enroll in the Mentored Research course or 6 credit units of electives.)6
Elective from approved list*

Specific Courses for Each Pathway

Biostatistics

PHS 501Introduction to Epidemiology3
MSB 618Survival Analysis3

Statistical Genetics

MSB 5483Human Genetic Analysis3
MSB 621Computational Statistical Genetics3

Academic Policies

Academic policies for degree programs can be found in the Student Handbook (PDF).

Prospective Students

Those interested in applying for a training program or who would like more information may contact the program manager.