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M.S. in Bioinformatics

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Program Information

The Rowan Experience
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The Master of Science in Bioinformatics (M.S.) prepares our graduates with the skills to immediately contribute in the pharmaceutical, biotechnology, and biomedical fields. Bioinformatics is a multidisciplinary field of study that focuses on the use of computational information tools in the investigation and analysis of biological, biomedical, and biochemical systems. The industry uses information generated in the lab or clinic for future applications, research, and development.

Our program provides hands-on experience, giving you the opportunity to work on novel research. This includes advanced training in theory and laboratory settings, which allows you to diversify into other biomedical research fields. This program includes the following three focus areas: Biological Sciences, Biochemistry, and Computer Science.

Curriculum
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The M.S. in Bioinformatics program consists of 30 semester hours (s.h.). Both a thesis and a non-thesis track are available.

The following courses make up the M.S. in Bioinformatics program.

  • 30 Semester Hours
  • Foundation Courses: Yes
  • Graduation / Exit / Thesis Requirements: Yes
Course Number Title S.H. (Credits)
Required Courses: 12 S.H.
CHEM 07595 Bioinformatics - Advanced Biochemical Applications 3
BIOL 05555 Bioinformatics: Advanced Biological Applications 3
CS 07595 Advanced Topics In Computer Science 4
BINF 07500 Bioinformatics Seminar 3
Focus Area Courses: Choose 9-12 S.H. (Thesis Track) or 18 S.H. (Non-Thesis Track)
Restricted Electives: Biological Sciences Focus Area
BIOL TBD Evolution 4
BIOL TBD Environmental Microbiology 4
BIOL TBD Developmental Biology 4
BIOL TBD Cell Biology 4
BIOL TBD Special Topics in Biology 4
BIOL TBD Microbiology 4
BIOL TBD Ecology 4
BIOL TBD Human Genetics 4
BIOL TBD Molecular Genetics 4
Restricted Electives: Biochemistry Focus Area
CHEM 07531 Special Topics in Biochemistry 3
CHEM 07570 Organic Spectroscopy 3
CHEM 07568 Medicinal Chemistry 3
CHEM 07557 Chemical Biology 3
CHEM 07560 Advanced Biochemistry Lecture 3
CHEM 09510 Instrumental Analysis 3
Restricted Electives: Computer Science Focus Area Courses
CS 07523 Advanced Software Engineering 3
CS 07540 Advanced Design And Analysis Of Algorithms 3
CS 07570 Information Visualization 3
MIS 02599 Special Topics in Management Information Systems 3
Required Thesis Track Courses: 9 S.H.
BINF 07501 MS Thesis Research 1 3
BINF 07502 MS Thesis Research 2 3
BINF 07503 MS Thesis Research 3 3

Note: The courses listed above are not official and are subject to change. For an official list of available courses please visit the Rowan Global section tally.

Admission Requirements
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The following is a list of items required to begin the application process for the program. There may be additional actions or materials required for admission to the program. Upon receipt of the materials below, a representative from the Rowan Global Admissions Processing Office will contact you with confirmation or will indicate any missing items.

  • Completed Application Form
  • $65 (U.S.) non-refundable application fee
  • Bachelor's degree (or its equivalent) from an accredited institution of higher learning

    • A Bachelor's degree in Biology, Biochemistry, Chemistry, Computer Science, or related field is highly recommended
  • Official transcripts from all colleges attended (regardless of number of credits earned)
  • Current professional resume
  • Typewritten statement of professional objectives (including motivation for application to the program)
  • Two letters of recommendation from professional sources that speak to the applicant's academic aptitude
  • Minimum undergraduate cumulative GPA of 2.5 (on a 4.0 scale)
  • Recommended submission of official GRE or GMAT test results
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Career Outlook

Graduates with a bioinformatics master’s degree from Rowan will be prepared for research and development, data science, and information technology careers in the pharmaceutical, biotechnology, and biomedical industries; software and health insurance organizations; and in academia.

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