inline-defaultCreated with Sketch.
inline-defaultCreated with Sketch.
HomeUniversitiesProgramsStudents & Alumni
search
Students
Masters

M.S. in Bioinformatics

Marquette University
Milwaukee , United States
Visit Program Website
Students
Tuition Fee
Not Available
Start Date
Not Available
Medium of studying
Not Available
Duration
Not Available
Details
About Program
About University
Gallery
Contact School
Details
Program Details
Degree
Masters
Major
Biomedical Sciences | Biotechnology
Area of study
Mathematics and Statistics | Natural Science
Course Language
English
About Program

Program Overview

Introduction to the M.S. in Bioinformatics Program

The M.S. in Bioinformatics is an interdisciplinary science master's program offered through a joint Marquette University/Medical College of Wisconsin program. 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.


Program Description

The Department of Biology and the Department of Mathematical and Statistical Sciences offer a M.S. in Bioinformatics. 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.


Program Objectives

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 and Computer Science programs.


Program Requirements

Students are able to complete their Master's degree with either a thesis + 30 credits (Plan A) or a shorter essay + 33 credits (Plan B).


Required Courses

For both options (Plans A and B), the following courses are required:


  • BIOL 5201 | Genomics and Bioinformatics | 3
  • BIIN 6000 | Introduction to Bioinformatics | 3
  • COSC 6050 | Elements of Software Development | 3
  • BIIN 6980 | Practicum in Bioinformatics | 3
  • 3 credits of approved computer science courses | 3
  • 3 credits of approved biological science courses | 3
  • 3 credits of approved statistical science courses | 3 Total Credit Hours | 21

Approved Courses

In addition to the specified courses, the following are typical approved courses:


  • Approved BIOL courses:
    • BIOL 5401 Advanced Ecology
    • BIOL 5806 Immunobiology
    • BIOL 8101 Protein Structure and Function
    • BIOL 8202 Principles of Eukaryotic Genetics
    • BIOS 16278 Functional Genomics (MCW)
    • PHYS 08230 Physiological Genomics (MCW)
  • Approved COSC courses:
    • COSC 5610 Data Mining
    • COSC 5800 Principles of Database Systems
    • COSC 6330 Advanced Machine Learning
    • COSC 6060 Parallel and Distributed Computing
    • BIOS 24150 BIIN in Omics Analysis (MCW)
  • Approved STAT courses:
    • MSSC 5720 Statistical Methods
    • MSSC 5750 Computational Statistics
    • MSSC 6010 Computational Probability
    • MSSC 6020 Statistical Simulation
    • MSSC 6250 Statistical Machine Learning
    • BIOS 04231 Statistical Models & Methods I (MCW)
    • BIOS 04232 Statistical Models & Methods II (MCW)
    • BIOS 04224 Biostatistical Computing (MCW)
    • BIOS 04224 Intr. to Stat. & Machine Learn. (MCW)

Program Learning Outcomes

Students will be able to:


  1. Understand scientific problems associated with data from at least one of the following areas: molecular biology, biochemistry, cell biology, physiology, or genetics.
  2. Create relevant algorithms and software for managing or analyzing biomedical data obtained from the research or clinical setting.
  3. Communicate effectively with biological and computational scientists about informatics solutions to biological problems.

Faculty for the Bioinformatics Program

Primary Faculty:

  • Lisa Petrella Biological Sciences (MU)
  • Raul A. Urrutia (Co-Director) Surgery (MCW)
  • Michael T. Zimmermann (Co-Director) Genomic Sciences and Precision Medicine Center (MCW)
  • Mehdi Maadooliat Mathematical and Statistical Sciences (MU)

Associated Faculty (MU):

  • Chelsea Cook Biological Sciences
  • Tony Gamble Biological Sciences
  • Krassi Hristova Biological Sciences
  • Nate Lemoine Biological Sciences
  • Chris Marshall Biological Sciences
  • Naveen Bansal Mathematical and Statistical Sciences
  • Jaihee Choi Mathematical and Statistical Sciences
  • Anne Clough Mathematical and Statistical Sciences
  • Daniel Rowe Mathematical and Statistical Sciences
  • Elaine Spiller Mathematical and Statistical Sciences

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

Career Opportunities

Students who have graduated from this program work in laboratories in the pharmaceutical industry, biotech companies, and academic settings. Several have continued on for Ph.D.'s in the area, such as Ph.D. in Computer Science and Ph.D. in Computational Sciences.


See More