University of Chicago

What you'll study

This master's combines coursework, hands-on research and regular seminar participation to build expertise in evolutionary processes, the classification and relationships of organisms, population dynamics and quantitative methods. Students follow a curriculum that emphasises both empirical and theoretical approaches, with opportunities to work in laboratory, field and computational settings.

Core topics and typical modules

• Evolutionary biology: population genetics, speciation, molecular evolution
• Ecology and population dynamics: community ecology, metapopulation models, life-history theory
• Systematics and phylogenetics: morphological and molecular systematics, comparative methods, phylogenetic inference
• Quantitative methods: statistical modelling, ecological and evolutionary data analysis, computational approaches (e.g. R, Python)
• Research methods: experimental design, field sampling techniques, molecular laboratory methods
• Seminars and journal clubs: current topics in ecology and evolution, student research presentations

Programme structure

Students usually complete a combination of taught courses and an independent research project or thesis under the supervision of a faculty member. The programme emphasises close mentoring and may include lab rotations or collaborative projects with faculty across related units. Coursework is designed to provide the quantitative and conceptual foundation needed for original research, while the thesis provides practical training in project design, data collection and scientific communication.

Entry requirements

Admission is competitive and typically requires a good undergraduate degree in biology, ecology, evolution, zoology, botany, environmental science or a closely related quantitative discipline. Applicants should demonstrate preparation in core areas such as genetics, ecology and statistics, and show evidence of research experience where possible.

• A Bachelor’s degree or equivalent from a recognised institution in a relevant subject
• Strong academic transcripts showing relevant coursework (e.g. genetics, ecology, statistics/mathematics)
• Research experience: laboratory, field or computational research experience is highly desirable
• Personal statement outlining research interests and fit with the programme
• Two or three academic references from instructors or research supervisors
• Proof of English language proficiency for applicants whose first language is not English, where required

Applicants may also be evaluated on demonstrated quantitative skills and potential for independent research. The department provides guidance on any supplementary materials and how to contact potential supervisors prior to applying.

Career prospects

Graduates enter a wide range of careers that draw on skills in evolutionary thinking, quantitative analysis and research. Common pathways include:

• Doctoral research and academic careers in ecology, evolution and related fields
• Research scientist or post‑graduate positions in universities, museums and research institutes
• Conservation biology and biodiversity management roles with NGOs, government agencies and conservation trusts
• Environmental consultancy, natural resource management and ecological impact assessment
• Biotechnology and pharmaceutical research that requires evolutionary and genetic expertise
• Data science and bioinformatics roles that make use of quantitative and computational training
• Science communication, policy advisory and education roles related to biodiversity and environmental issues

Why study at University of Chicago

The University of Chicago offers a rigorous, research-led environment with close faculty-student interaction and an emphasis on quantitative and theoretical rigour. Students benefit from the university’s strengths in evolutionary biology and ecology, access to diverse research facilities and computing resources, and collaboration opportunities with nearby institutions and museums.

Being located in Chicago provides unique advantages for field and museum-based research, and the department’s culture of interdisciplinary scholarship connects evolutionary biology with genomics, computational biology, paleontology and ecology. The programme is designed to prepare students for high-level research and professional work by combining strong conceptual training with practical research experience and professional development opportunities.