Bioinformatics Master's Program

To be eligible for admission to the Graduate School at Marquette University, applicants must meet the following requirements:

• A bachelor's degree from a regionally accredited institution or international equivalent must be completed prior to starting graduate school.
• A minimum grade point average (GPA) of 3.00 on a 4.00 scale.
• Demonstrated English proficiency for non-U.S. citizens.

The bioinformatics program can accommodate students from a wide variety of disciplines, including biological science, biomedical science, computer science, mathematics, statistics, engineering and physical sciences. Applicants who have not completed any biological science coursework, computer science coursework, and/or statistics coursework, may need to complete those prerequisite courses in the first year of their program. 

Application Requirements

• Read all application instructions prior to beginning an application.
• A completed online application form and fee.
• Transcripts:
  • If coursework was completed within the United States, submit copies of all current and previous college/universities except Marquette¹
  • If coursework was completed outside of the United States, a transcript evaluation is required. A copy of a  a general evaluation with cumulative GPA or course-by-course evaluation is approved for the course-by-course evaluation is approved for the application process.²
• An essay outlining relevant work experience or education, career goals, possible areas of interest, and reasons for seeking admission to this program.
• Three letters of reference from professors or professionals familiar with the applicant's abilities, academic work and/or professional background.
• A resume/CV
• For international applicants only: TOEFL score or other acceptable proof of English proficiency. 

^{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.} 

^{2Upon admission, an official general evaluation with cumulative GPA or course-by-course transcript/academic record evaluation 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.} 

This program has rolling admission, which means you may apply and submit all application materials any time before the following dates:

• Fall term admissions- August 1 (June 1 for international applicants)
• Spring term admissions- December 15 (October 1 for international applicants)

Visit the department webpage or visit the Medical College of Wisconsin Bioinformatics program page for more details and information about faculty and coursework. 

Primary Faculty:

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)

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Associated Faculty (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

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Associated Faculty (MCW):

Jing Dong – Hematology and Oncology

Gwen Lomberk - Surgery and Pharmacology & Toxicology

Brian C. Smith – Biochemistry

James Verbsky – Pediatrics and Microbiology and Molecular Genetics 

No merit-based aid (graduate assistantships/fellowships) is available for this program, but private scholarships may be available. U.S. citizens and permanent residents may also be eligible to apply for need-based federal aid (loans) to help fund their educational expenses.