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:
Anne Clough (Co-Director) - MSCS at MU
Daniel Rowe - MSCS at MU
Serdar Bozdag - MSCS at MU
Mehdi Maadooliat - MSCS at MU
Leah Solberg-Woods (Co-Director) - Human and Molecular Genetics Center at MCW

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

Associated Faculty (MCW):
Allen Cowley - Chair of Physiology
Andrew Greene - Physiology
Howard Jacob - Chair of Genetics, Head of the Human and Molecular Genetics Center
Aoy Mitchell - Surgery
Mary Shimoyama - Surgery

Elizabeth Worthey - Human and Molecular Genetics Center

Program Description (from the Graduate Bulletin)

For more information, please contact the MSCS Co-Director, Anne Clough.



Summer Research Experience

The Department of Mathematics, Statistics and Computer Science hosts a Summer Research Experience (REU) for Undergraduates. This program provides 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