Biostatistics Ph.D. with Genomics Concentration
The Ph.D. in biostatistics with a concentration in genomics builds on the doctoral curriculum with additional classes and practical experience in genomic data analysis.
Coursework covers recent developments in sequencing technologies, biostatistical methods in genomics, data mining/machine learning and sequence analysis.
Research in those areas yields an enormous amount of data that require statisticians and bioinformaticians to rethink analytical strategies.
Students will work with several genomics specialists during the program.
Admission Requirements
Admission requirements, exams and dissertation requirements are identical to that of the Ph.D. program. Applicants often have a biology or basic health sciences background, though it is not required.
Priority is given to applications received by Dec. 1 prior to the fall semester of enrollment.
Degree Requirements
In addition to the Ph.D. degree requirements, the genomics concentration requires out-of-track electives in biochemistry, molecular biology or genetics.