Full-Time: Yes | Part-Time: Yes | Online Options: No
Marquette University's master of science in bioinformatics program is an ideal fit for students with undergraduate degrees with biology, medical science, mathematics, engineering, or computer science. This master's program is offered jointly with the Medical College of Wisconsin (MCW) for an improved, convenient curriculum. The entire program consists of either 30 credits with a thesis or 33 credits with a short essay.
We offer classes both during the day and in the evenings with both full- and part-time options available. Whether you are a new college graduate or a working professional looking to advance your career, our program can fit your needs.
Years to Complete*
Full and Part-time Options
*30 credit hours and 2 years to complete is based on Plan A. See bulletin for details.
Through the joint program with the Medical College of Wisconsin, students take classes at our Milwaukee campus and a few miles away at MCW. This provides students greater access to coursework, faculty, facilities, equipment and research opportunities at both institutions.
MCW's partnerships with renowned medical facilities like Froedtert Hospital and Children's Hospital of Wisconsin give students a hands-on experience only available through this unique program. Students in the joint program are also able to form networks that can be helpful in the job market.
What is Bioinformatics?
Bioinformatics deals with discovering knowledge in biology or medicine present in large data sets. As such, it is an interdisciplinary science that is always in rapid flux as the methods and the nature of the data sets change. Bioinformatics clearly involves the application of computers for storage, organizing, and analyzing the data. But it also involves statistics, probability, mathematics, and related disciplines to create the analysis algorithms and to make sense of the results. Effectively interacting and collaborating with the content-area scientists also requires developing deep knowledge and understanding in those areas to be able to interpret the results and communicate them effectively to the scientific community.
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. The MS in bioinformatics also can serve as a starting point for doctoral work through our Computational Sciences program.
This program has rolling admission, which means you may apply any time before the following dates:
These are the dates your application must be complete and all required documentation must be received in the Graduate School by these dates.
However, applicants who wish to be considered for merit-based financial aid (graduate assistantships/fellowships) should be aware of the merit-based financial aid deadlines by which all applicant materials must be received by the Graduate School:
1Upon admission, final official transcripts from all previously attended colleges/universities, with certified English translations if original language is not English, must be submitted to the Graduate School within the first five weeks of the term of admission or a hold preventing registration for future terms will be placed on the student’s record.
Mehdi Maadooliat (Co-Director) - Mathematical and Statistical Sciences (MU)
Raul A. Urrutia (Co-Director) - Surgery (MCW)
Michael T. Zimmermann (Co-Director) – Genomic Sciences and Precision Medicine Center (MCW)
Lisa Petrella – Biological Sciences (MU)
Chelsea Cook – Biological Sciences
Tony Gamble – Biological Sciences
Krassi Hristova – Biological Sciences
Nate Lemoine – Biological Sciences
Chris Marshall – Biological Sciences
Keke Chen - Computer Science
Naveen Bansal – Mathematical and Statistical Sciences
Anne Clough – Mathematical and Statistical Sciences
Daniel Rowe – Mathematical and Statistical Sciences
Elaine Spiller – Mathematical and Statistical Sciences
Jing Dong – Hematology and Oncology
Gwen Lomberk - Surgery and Pharmacology & Toxicology
Brian C. Smith – Biochemistry
James Verbsky – Pediatrics and Microbiology and Molecular Genetics