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Graduate Program (M.S. and Ph.D.)
Biomedical Informatics and Computational Biology

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Overview of the Graduate Program

The Biomedical Informatics and Computational Biology (BICB) graduate program is an interdisciplinary, all-University graduate program between the University of Minnesota Twin Cities and the University of Minnesota Rochester.

The program offers the Ph.D. and Master of Science (M.S. Plan A and Plan B) degrees and a Minor. The administrative home of the program is the University of Minnesota Rochester.

Its graduate faculty includes researchers from the University of Minnesota Twin Cities, the University of Minnesota Rochester, the Hormel Institute, the Mayo Clinic, and IBM. Students are in residence on either the Rochester or Twin Cities campus. The program is suitable for full-time and part-time students.

Program Focus
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.

A Brief History
In December 2007 the BICB Academic Planning Committee consisting of faculty and administrators from the University of Minnesota Rochester, University of Minnesota Twin Cities, and the collaborating institutions (Mayo Clinic, IBM, and Hormel Institute) submitted a proposal to the University of Minnesota Graduate School to establish new M.S. and Ph.D. graduate programs in Biomedical Informatics and Computational Biology. The program was approved by the University of Minnesota Board of Regents in July 2008.

The next academic program goal is the development of University of Minnesota/Mayo Clinic Graduate School joint degrees in biomedical informatics and computational biology.

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Information for Prospective Students

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, 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 students' 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 master's and/or Ph.D. degrees. A limited number of fellowships for full-time Ph.D. graduate students is expected to be available.

Tuition and Fees

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Prerequisite Coursework

We expect incoming graduate students to have a strong background in the quantitative sciences and varied backgrounds in the life/health sciences. Specifically, we expect incoming students to have taken the following courses at the undergraduate level prior to entering the program:

  1. Calculus (1 year)
  2. Introductory computer science course and basic programming skills (1 semester)
  3. Chemistry (1 year)
  4. General biology course (1 semester)

In addition, we expect students to have background in either two of the areas 1-3 or one of the areas 1-3 and one of the areas 4 and 5:

  1. Multivariable calculus, differential equations, linear algebra
  2. Algorithms and data structure, discrete mathematics
  3. Statistics or biostatistics; probability theory
  4. Biochemistry, genetics and cell biology
  5. Health sciences (pharmacology, physiology, or related areas)

A student might be admitted without meeting the prerequisite requirements, but a plan must be in place to make up deficiencies within the first year.

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Submitting Your Application

The Graduate School requires all applicants to complete their application online. For Fall 2008 admission, you must submit your application to the Graduate School by August 21, 2008, for consideration of financial assistance. When you apply online, select Spring 2009 since Fall 2008 has already been removed as a term of entry for the 2008-09 academic year. Once you submit your application, send an e-mail to the Graduate School admissions office (gsadmit@umn.edu) indicating that you wish to apply for entry in Fall 2008. The Graduate School admission staff will then change your term of entry to Fall 2008.

If you are a non-immigrant visa holder or a student interested in international scholar status, contact the Director of Graduate Studies, Professor Claudia Neuhauser, before applying online for Fall 2008.

For Fall 2009, you must submit your application to the Graduate School by December 15, 2008, for consideration of financial assistance.

In your personal statement, describe your past experiences, why you wish to pursue graduate studies in biomedical informatics and computational biology, your career aspirations. In addition, please indicate the names of the BICB graduate faculty whose interests overlap with yours. We strongly encourage you to contact these faculty members before you apply. Although there is no page limit for the personal statement, we recommend that it be 2-3 pages.

We require the general GRE test (no subject test is required), although an exception can be granted under special circumstances. Scores should be sent directly to the U of M Graduate School by the Educational Testing Service (Institution #6874, University of Minnesota). TOEFL scores (for non-native speakers) should be sent to the same institution code.

Three letters of recommendation from persons familiar with your academic and professional experience should be submitted online through the Graduate School’s system.

Transcripts of all universities and colleges attended must be sent to both the Graduate School (originals) and the BICB graduate program (copies of the originals). The addresses are:

  • University of Minnesota Graduate School
    Office of Admissions
    309 Johnston Hall
    101 Pleasant Street S.E.
    Minneapolis, MN 55455
  • BICB Graduate Program
    University of Minnesota Rochester
    300 University Square
    111 South Broadway
    Rochester, MN 55904

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Graduate Faculty

The graduate faculty of the BICB graduate program comes from three institutions (University of Minnesota including Hormel Institute; IBM; and Mayo Clinic).


Graduate Students

The BICB graduate program will begin to admit students for Fall 2008.

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Graduate Student Handbook

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Contact Information

Professor Claudia Neuhauser
Director of Graduate Studies
University of Minnesota Rochester
111 South Broadway
Rochester, MN 55904
Telephone: 507-281-7791
E-mail: neuha001@umn.edu
Fax: 507-280-2820

Professor John Carlis
Associate Director of Graduate Studies
University of Minnesota Twin Cities
Dept. of Computer Science and Engineering
4-192 EECS Bldg.
200 Union Street S.E.
Minneapolis, MN 55455
Telephone: 612-625-6092
E-mail: carlis@cs.umn.edu
Fax: 612-625-0572

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Biomedical Informatics and Computational Biology

 
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