University of Kansas

What you'll study

This master's programme blends core physical-science training with topics and techniques applicable to biological problems. Students typically follow a mix of coursework and an independent research project or thesis under faculty supervision. Coursework emphasises advanced theory and practical laboratory and computational skills.

• Core topics: advanced classical and quantum mechanics, statistical mechanics, thermodynamics, and methods of mathematical physics as applied to biological systems.
• Biophysical and interdisciplinary modules: molecular and cellular biophysics, spectroscopy and imaging techniques, biomolecular structure and dynamics, soft condensed matter and polymer physics relevant to biology.
• Experimental skills: hands-on laboratory training in optical and fluorescence microscopy, spectroscopy, microfluidics, instrumentation and experimental design.
• Computational methods: molecular modelling and simulation, data analysis, programming for scientific applications (e.g. Python/Matlab), and statistical methods for experimental data.
• Research project: an extended research dissertation or thesis carried out in a research group, culminating in a written thesis and often a departmental seminar or poster presentation.
• Optional seminars and electives: journal clubs, advanced electives in areas such as materials for biomedical applications, neurophysics, or chemical biology, and opportunities for cross-departmental modules.

Entry requirements

Applicants should hold a good undergraduate degree in physics, chemistry, biology, biophysics, biomedical engineering or a closely related discipline. Typical applicants have strong quantitative skills and some laboratory or computational experience.

• Academic qualification: an honours bachelor’s degree (or recognised equivalent) in a relevant subject; applicants with substantial research experience may also be considered.
• Supporting documents: transcripts, a personal statement outlining research interests and motivations, a CV, and academic references.
• English language: international applicants whose first language is not English will need to demonstrate proficiency through an accepted English language test unless exempt.
• Funding and assistantships: many students apply for teaching or research assistantships; availability is competitive and may require a separate application or agreement with a prospective supervisor.

Career prospects

Graduates develop a combination of theoretical, experimental and computational skills valued in multiple sectors. The programme prepares students for research-focused roles and further postgraduate study.

• Research and development: roles in academic laboratories, government research institutes and private-sector R&D, especially in biophysics, materials science and biotechnology companies.
• Data and computational science: positions in scientific computing, modelling and data analysis across life-science and engineering firms.
• Healthcare and industry applications: careers in medical device companies, diagnostics, pharmaceutical development and quality assurance.
• Further study and academia: many graduates progress to PhD programmes or take up teaching and research posts in universities.

Why study at University of Kansas

The University of Kansas offers an interdisciplinary research environment that brings together expertise from physics, chemistry, biology and engineering. You will have access to modern laboratories, computational resources and opportunities to collaborate with colleagues at KU Medical Center and other campus research centres.

• Interdisciplinary supervision: faculty from multiple departments supervise projects, allowing students to tailor research to physical-science approaches in biological contexts.
• Research-led teaching: coursework is informed by active research groups, and students gain hands-on experience through laboratory modules and thesis work.
• Professional development: opportunities for teaching assistantships, seminars, and networking with industry and academic partners to build transferable skills and career networks.