Establishing a master's degree programme in Bioinformatics: challenges and opportunities

Establishing a master's degree programme in Bioinformatics: challenges and opportunities

For access to this article, please select a purchase option:

Buy article PDF
(plus tax if applicable)
Buy Knowledge Pack
10 articles for £75.00
(plus taxes if applicable)

IET members benefit from discounts to all IET publications and free access to E&T Magazine. If you are an IET member, log in to your account and the discounts will automatically be applied.

Learn more about IET membership 

Recommend to library

You must fill out fields marked with: *

Librarian details
Your details
Why are you recommending this title?
Select reason:
IEE Proceedings - Systems Biology — Recommend this title to your library

Thank you

Your recommendation has been sent to your librarian.

The development of the Bioinformatics MS degree program at the University of Illinois, the challenges and opportunities associated with such a process, and the current structure of the program is described. This program has departed from earlier University practice in significant ways. Despite the existence of several interdisciplinary programs at the University, a few of which grant degrees, this is the first interdisciplinary program that grants degrees and formally recognises departmental specialisation areas. The program, which is not owned by any particular department but by the Graduate College itself, is operated in a franchise-like fashion via several departmental concentrations. With four different colleges and many more departments involved in establishing and operating the program, the logistics of the operation are of considerable complexity but result in significant interactions across the entire campus.


    1. 1)
      • P.E. Stephan , G. Black . (1999) Hiring patterns experienced by students enrolled in bioinformatics/computational biology programs.
    2. 2)
      • G.C. Black , P.E. Stephan . (2004) Bioinformatics: Recent trends in programs, placements and job opportunities.
    3. 3)
    4. 4)
      • National Library of Medicine:, accessed 22 September 2005.
    5. 5)
      • ‘IT Encyclopedia and Learning Center’,, accessed 12 April 2005.
    6. 6)
      • N.M. Luscombe , D. Greenbaum , M. Gerstein . What is bioinformatics? A proposed definition and overview of the field. Methods Inf Med. , 346 - 358
    7. 7)
    8. 8)
    9. 9)
      • G. Stephanopoulos , A. Aristidou , J. Nielsen . (1998) Metabolic engineering principles and methodologies.
    10. 10)
      • M. Tawarmalani , N.V. Sahinidis . (2002) Convexification and global optimization in continuous and mixed-integer nonlinear programming: theory, algorithms, software, and applications.
    11. 11)
      • C. Zhai , R. Skeel , N.V. Sahinidis . (2004) Algorithms in bioinformatics.
    12. 12)
      • N.C. Jones , P.A. Pevzner . (2004) An introduction to bioinformatics algorithms.
    13. 13)
      • University of Illinois at Urbana-Champaign, Animal Sciences 542: ‘Applied Bioinformatics’,, accessed 22 September 2005.

Related content

This is a required field
Please enter a valid email address