Michigan State University

What you'll study

The programme blends coursework, seminars and an independent research dissertation centred on evolutionary biology and population processes. Early graduate training typically covers core topics such as evolutionary theory, population genetics, phylogenetics, comparative methods, quantitative genetics, and ecological modelling. Students learn modern empirical and computational approaches, including genomics and bioinformatics, statistical methods for inference in ecology and evolution, experimental and field techniques, and laboratory practises.

Formal components commonly include advanced seminars, journal clubs, methods courses (e.g. statistics, R, Bayesian inference), and elective topics such as behavioural evolution, community ecology, macroevolution, and conservation genetics. Trainees also develop a research proposal and pass qualifying and dissertation examinations before defending an original thesis. Many students undertake field seasons at MSU's research facilities and collaborate across campus cores for sequencing, imaging and high-performance computing.

Entry requirements

Applicants should hold a bachelor’s degree in biology or a closely related discipline; a master’s degree is advantageous but not always required. A strong academic record in foundational coursework (e.g. genetics, ecology, evolution, statistics) and demonstrable research experience are expected. Successful applications typically include a statement of research interests, a curriculum vitae, official transcripts, and three letters of recommendation from academic or research supervisors.

International applicants must demonstrate English proficiency in line with university policy. Candidates who emphasize quantitative or computational approaches should highlight relevant coursework or coding experience; those focused on field-based research should document prior fieldwork. Many supervisory groups expect prospective students to identify potential faculty advisors and to discuss research fit in the application materials.

Career prospects

Graduates enter a wide range of careers that make use of rigorous training in evolutionary and population biology. Common paths include postdoctoral research and tenure-track faculty positions in universities and research institutes, where graduates continue independent research and teaching. Other career routes include roles in governmental agencies (for example environmental and wildlife management), conservation NGOs, and international conservation programmes focused on biodiversity, species recovery and habitat management.

PhD graduates are also well placed for positions in biotechnology and genomics companies, ecological consulting, science policy, and data science roles that require quantitative and computational expertise. Additional options include science communication, museum and botanical garden research curation, and leadership roles in interdisciplinary environmental or agricultural research initiatives.

Why study at Michigan State University

Michigan State offers a strong, collaborative research environment with faculty whose expertise spans molecular evolution to ecosystem-level processes. Students benefit from access to well-established research facilities and field stations, including regional biological stations that support long-term ecological and experimental studies. On-campus cores provide support for genomics, high-throughput sequencing, mass spectrometry and computing resources important for modern evolutionary research.

The university emphasises interdisciplinary training and offers opportunities to work across departments and centres, connecting evolution with ecology, agriculture, conservation and quantitative biology. Graduate students receive mentorship, teaching experience, and professional development resources to prepare for research and non-academic careers. The programme’s combination of theoretical, empirical and applied training makes it suited to students seeking rigorous preparation for a broad set of scientific careers.