University of Oxford

Overview

The DPhil in Genomic Medicine and Statistics at the University of Oxford offers a comprehensive training program designed to apply genomic science to enhance human health. This full-time research degree combines advanced genomic medicine with rigorous statistical methodologies, equipping students with essential research skills through structured lab rotations and a doctoral research project under expert supervision.

What you'll study

Programme Structure

• In the first year, students engage in taught modules that cover fundamental concepts in genomic medicine and statistical techniques.
• Following these modules, you will participate in short research projects and laboratory visits, rotating through up to three laboratories over three-month periods.
• The training and teaching sessions are customized to support your development during the rotations.
• Your experiences during these rotations will guide the selection of your DPhil research project for the remaining duration of the program.

Doctoral Research

• Years two through four focus on your doctoral research, conducted under the guidance of two designated supervisors and a doctoral committee.
• Students are expected to progress in their research, develop expertise in their chosen topic, and generate the necessary academic outputs for the DPhil.
• Prospective students should consult the Doctoral Training Centre for information regarding possible supervisors associated with this program.

Entry requirements

Applicants are typically required to hold (or be predicted to achieve) a first-class or strong upper second-class undergraduate degree with honours in a relevant biological science or quantitative discipline. There are no specific GRE or GMAT score requirements for this program.

Career prospects

Graduates from the DPhil in Genomic Medicine and Statistics are well-prepared for diverse career paths in academia, healthcare, and industry. They may pursue roles in research institutions, pharmaceutical companies, and public health organizations, where they can contribute to advancements in genomic medicine and statistical analysis.