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Education and Training Resources

Biomedical Informatics and Computational Biology

University/Institute: University of Minnesota
Location: United States - Rochester & Twin Cities
Focus: Other: Bioinformatics & Computational Biology
Recommended Undergraduate Degrees: Biology, Chemistry, Computer Science, Math/Statistics
Degree Offered: MS/Ph.D. (< 1 year) (Major/Primary Degree)

Key characteristics of program:

The Biomedical Informatics and Computational Biology graduate program is an all-University, interdisciplinary graduate program that offers Ph.D., M.S., and Minor degrees. The graduate faculty members come from the University of Minnesota (Twin Cities, Rochester, and Hormel Institute), Mayo Clinic, National Marrow Donor Program, and IBM.

The program aims to create a paradigm shift in the way interdisciplinary, multi-institutional higher education is delivered. With multiple institutional partners, we provide students the opportunity to work with faculty from academia, a clinical institution, and industry. The program is designed to overcome challenges of geographically dispersed partnering institutions by delivering courses via ITV, video-conferencing, and regular meetings of all faculty and students.

We expect students to gain competency in the areas of computer science, informatics, mathematics, statistics, and the biological and health sciences. While the studentsâ?? research will focus on development and applications of computational methods, internships in industry or laboratories will prepare students for an interdisciplinary and collaborative work environment and provide hands-on experience with experiments to gain a deeper understanding of the data types that are generated. We expect that most students will become part of a research team and will promote this mode of training through paid traineeships that require co-advising across institutions and disciplines.

This program is open to working adults and part-time students seeking masterâ??s and/or Ph.D. degrees. A limited number of fellowships for full-time Ph.D. graduate students is expected to be available.

Program Goals:

The programmatic focus of the BICB graduate program is at the interface of quantitative sciences, medicine, and biology, and thus by its nature, highly interdisciplinary. The graduate program trains graduate students in the development and applications of computational methods and to work in interdisciplinary teams of life scientists and computational scientists. The program offers industrial and clinical internships and training in business leadership, technology management, and ethics to prepare students for the workplace. In addition, the program provides a mentoring program for students and junior faculty that will serve as a model for interdisciplinary graduate education. The Minor addresses the needs of the rapidly increasing user group that includes graduate students in the life and health sciences, physical and chemical sciences, and engineering and computer sciences.


Additional Information

Year Program Established: 2008
Scholarships/assistanceships may be available: Yes
Type of academic terms: Semester

Average number of applicants per year: 50
Average number of applicants accepted per year: 20
Average number of incoming students per year: 15
Average number of graduates per year: 0

Program URL: http://r.umn.edu/academics-research/bicb
Syllabus URL: http://r.umn.edu/academics-research/biomedical-informatics-and-computational-biology/graduate-program/student-handbook

Contact Person: Claudia Neuhauser, Ph.D. ( neuha001@umn.edu )

Last updated: Apr 27, 2015

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