Bioinformatics student

M.S. in Bioinformatics

Program Description

The Department of Mathematics, Statistics and Computer Science offers a M.S. in Bioinformatics through a joint Marquette University/Medical College of Wisconsin program. Bioinformatics refers to the field that deals with developing and improving methods and software tools for storing, retrieving, organizing and analyzing biological data. The goal is the extraction and recognition of new biological knowledge. Bioinformatics is a highly interdisciplinary field involving biology, computer science, engineering, applied mathematics, and probability and statistics.

Our program is designed to equip graduates with a distinctive blend of theoretical and computational skills and practical experience for employment in industry, research laboratories and institutions of higher education. This M.S. also can serve as a starting point for doctoral work through our Computational Sciences program.

Faculty for the Bioinformatics Program (see individual faculty pages for more complete descriptions of their laboratories):

Primary Faculty:
Daniel Rowe (Co-Director) - MSCS
Serdar Bozdag - MSCS
Mehdi Maadooliat - MSCS

Associated Faculty (MU):
James Anderson - Biological Sciences
Naveen Bansal - MSCS
James Courtwright - Biological Sciences
Stephen Merrill - MSCS
Stephen Munroe - Biological Sciences
Elaine Spiller - MSCS

Associated Faculty (MCW):
Daniel Beard - Physiology and Director of the Center for Computational Medicine
Allen Cowley - Chair of Physiology
Andrew Greene - Physiology
Howard Jacob - Chair of Genetics and Head of the Human and Molecular Genetics Center
Elizabeth Worthey (Co-Director) - Human and Molecular Genetics Center

Program Description (from the Graduate Bulletin)

For more information, please contact the MSCS Co-Director, Daniel Rowe.


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Summer 2013 Research Experience

The Department of Mathematics, Statistics and Computer Science hosted the NSF-funded Summer 2013 Research Experience (REU) for Undergraduates. This program provides U.S. undergraduates with an intensive, faculty-mentored, summer research experience in the areas of applied mathematics, high-performance computing, statistics, ubiquitous systems and mathematics education. Learn more