Twin Cities Campus
Biomedical Informatics and Computational Biology Minor
Link to a list of faculty for this program.
Biomedical Informatics and Computational Biology, 300 University Square, 111 South Broadway, Rochester, MN 55904 (507-258-8006; fax: 507-258-8066)
The graduate program in biomedical informatics and computational biology (BICB) offers course work in five core areas: 1) biochemistry, molecular and cell biology; 2) database, data mining, and computing; 3) informatics, analysis, and machine learning; 4) mathematics, biostatistics, and statistics; and 5) computational and systems biology. In addition, students select courses from a diverse set of fields, including chemistry, chemical engineering, physics, biophysics, structural biology, imaging, signal processing, and clinical and translational sciences. The curriculum is individualized to fit the student's interest and research direction. Prior coursework may be used to fill the requirements if appropriate. Students may pursue a minor in a different program. All students receive training in ethics, leadership, and management, including legal and intellectual property issues and entrepreneurship. Students interested in academic careers have the opportunity to participate in development programs that focus on aspects of teaching and learning.
Prerequisites for Admission
Special Application Requirements:
Minor programs are arranged on an individual basis.
For an online application or for more information about graduate education admissions, see the General Information section of this website.
Use of 4xxx courses toward program requirements is permitted under certain conditions with adviser approval.
Master's Minor: A minimum of 9 credits must be completed in Core Area 1 and one of Core Areas 2-5. Doctoral Minor: A minimum of 12 credits must be completed in Core Area 1 and two of Core Areas 2-5. Graduate students choose from a list of courses that satisfy requirements in core areas and electives. There are five core areas: 1. Biochemistry, molecular and cell biology 2. Database, data mining, and computing 3. Informatics, analysis, and machine learning 4. Mathematics, biostatistics, and statistics 5. Computational and systems biology Students choose elective courses from the following eight areas: 1. Biochemistry, molecular and cell biology 2. Informatics, database, data mining, and computing 3. Mathematics, biostatistics, and statistics 4. Chemistry, chemical engineering, and physics 5. Biophysics and structural biology 6. Imaging, information theory, and signal processing 7. Computational chemistry, medicinal chemistry, and drug design 8. Clinical and translational sciences Core/elective courses are listed on the courses page of the BICB Student Handbook (http://r.umn.edu/academics-research/bicb/graduate-program/student-handbook/courses). The adviser(s), together with the DGS, will ensure that the student selects appropriate courses.