We teach students to generate, analyze, and use large and complex biological data so they can pursue answers to some the most pressing questions of our time. Students’ joint fluency in the contemporary life sciences and the use of computational and statistical tools allows them to keep pace with the quickly evolving landscape of high-throughput “omics” technologies and gives them a unique interdisciplinary advantage in the job market.
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About
Explore what shapes our program and how we prepare students to address complex questions at the intersection of biology, computation, and genomics.
Ph.D. Requirements
Explore the requirements for earning a PhD in Bioinformatics and Genomics.
Research Areas
Conducting rigorous, original research is the most important requirement of graduate students in the Bioinformatics and Genomics program.
Faculty Directory
Meet the faculty and researchers who contribute to our interdisciplinary community. Explore their areas of expertise and research to learn more about the work and mentorship opportunities across the program.
Student Directory
Get to know the graduate students who are exploring questions across the fields of bioinformatics and genomics.
Frequently Asked Questions
Find answers to common questions about the application process, program requirements, and what to expect as you prepare to apply.
Funding Information
Stipend and tuition are provided for students in doctoral programs. Discover a range of additional options to help fund your graduate studies.
2026-2027 BG Graduate Student and Faculty Handbook
Graduate Program in Bioinformatics and Genomics Overview
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Provides students with educational and research training in broad areas of computational, evolutionary, and functional genomics
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Offers optional specialization in algorithms and computation and statistical genomics
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Delivers problem-based instruction, starting with exposure to bioinformatics and genomics tools and moving on to in-depth analysis of genomic and proteomic data
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Positions students to be competitive for NIH-funded training fellowships in the “Computation, Bioinformatics, and Statistics”, “Biomedical Big Data to Knowledge”, or “Eukaryotic Gene Regulation” programs
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Offers Ph.D. programs including laboratory rotations
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We employ a holistic review based on several criteria, and do not accept or consider GRE scores as part of our admission decision process.
Questions?
Huck Graduate Programs Office
101 Huck Life Sciences Building
University Park, PA 16802
David Koslicki
- Chair, Intercollege Graduate Degree Program in Bioinformatics and Genomics
- Associate Professor of Computer Science and Engineering and Biology
Qunhua Li
- Associate Chair, Intercollege Graduate Degree Program in Bioinformatics and Genomics
- Professor of Statistics