Master of Science in Bioinformatics

Student Learning Outcomes

Students graduating from this program will:

  • Identify and extract data necessary for a given research question.
  • Use statistics to analyze and interpret data.
  • Design a testable research question or hypothesis.
  • Identify responsible conduct of research resources and develop strategies for protecting oneself from scientific misconduct.
  • Communicate scientific outcomes.
  • Describe common epidemiologic studies, test for causal associations, and evaluate potential noncausal associations. (Applicable only to the Epidemiology and Biostatistics emphasis area)

Program Description

The Department of Biomedical and Health Informatics at the School of Medicine offers the Master of Science in Bioinformatics degree. Students may complete the degree with one of five emphasis areas (Clinical Research, Computational Bioinformatics, Genomic Bioinformatics, Individualized Informatics, or Epidemiology and Biostatistics).

The program is designed to prepare a new generation of informatics professionals with the necessary skills to work collaboratively to advance health sciences. Graduates are expected to be effective team members who can contribute to education, research, and development in bioinformatics and/or clinical research. This degree program prepares students to assume various professional informatics positions in translational research and development, institutional management, public policy, information systems, hospitals, private industry, or as clinical research team members. 

The Master of Science in Bioinformatics may be completed with the thesis, Capstone, or no thesis options. Students interested in pursuing a career involving future independent or team research or doctoral training should enroll in the thesis track.  The Capstone track is available for students pursuing industry careers, where demonstration of specific skills and expertise is valued. The no thesis option is available for students enrolled in a Fellowship or comparable program or those with a proven publication track record. 

Program Goals

  1. Produce competent researchers at the interface of biomedical and health informatics and clinical research
  2. Produce graduates able to establish partnerships with stakeholders and the community
  3. Produce effective communicators
  4. Produce ethical and responsible researchers

Degree Requirements

A minimum of 30 to 36 credit hours are required to earn the Master of Science in Bioinformatics degree (30 for non-thesis track and 36 for thesis/capstone track). Students must complete the program of study while maintaining a 3.0 or better grade point average.  The total number of credit hours, required coursework, and elective coursework, and Thesis, Capstone, and No Thesis requirements vary based on the MS Bioinformatics emphasis area. These options are shown in the tables below.

  Individualized Informatics Emphasis Computational Emphasis Clinical Research Emphasis Epidemiology and Biostatistics Emphasis Genomics Emphasis
Required course hours 18 24 24 24 33
Elective course hours* 12 6 6 6 0
Research & Thesis hours* 6 6 6 6 6
Capstone option* Yes Yes Yes Yes No
No Thesis Option** Yes Yes Yes Yes Yes
Minimum Total hours 30 - 36 30 - 36 30 - 36 30 - 36 33 or 39

*Students may choose to complete either a 3-credit hour Capstone course with 3 additional elective credit hours in place of Research and Thesis credit hours.

**Students choosing the No Thesis option do not take Research and Thesis credit hours.

MSB Emphasis Options

  1. Individualized Informatics: Gives students flexibility to complete a bioinformatics curriculum that best meets their academic and career goals.

  2. Clinical Research: Emphasizes creating and understanding data generated via patient care and clinical studies and on the statistical methodology needed for clinical research and improved bedside care.

  3. Computational Bioinformatics: Emphasizes developing and using the next generation of bioinformatics tools and software.

  4. Genomic Bioinformatics: Emphasizes the use of existing software for biological analysis and analyzing diverse sets of biological data.

  5. Epidemiology and Biostatistics: Emphasizes the knowledge and skills necessary to design, conduct and evaluate population health research.

The required coursework for each M.S. Bioinformatics option is listed below. Program faculty can provide information about elective coursework. Please visit our Department Website to learn more about this program.

M.S. Individualized Informatics Emphasis area

MEDB 5501Applied Biostatistics I3
MEDB 5502Applied Biostatistics II3
MEDB 5510Clinical Research Methodology3
MEDB 5561Responsible Conduct of Research3
At least 2 from the following:6
Introduction to Medical Informatics
Clinical Bioinformatics
Bioinformatics and Data Analysis
Introduction to Bioinformatics
Electives:12
Research Experience Options (choose one of the following):0-6
Thesis (6 hours)
Capstone (3 hours and one additional elective course)
No Thesis or Capstone
Total Credits30-36


Clinical Research Emphasis

MEDB 5501Applied Biostatistics I3
MEDB 5502Applied Biostatistics II3
MEDB 5510Clinical Research Methodology3
MEDB 5511Principles and Applications of Epidemiology3
MEDB 5512Clinical Trials3
MEDB 5513Overview of Health Services Research3
MEDB 5520Introduction to Medical Informatics3
MEDB 5561Responsible Conduct of Research3
Electives:6
Research Experience Options (choose one of the following):0-6
Thesis (6 hours)
Capstone Course (3 hours and one additional elective course)
No Thesis or Capstone
Total Credits30-36


Computational Emphasis

MEDB 5501Applied Biostatistics I3
MEDB 5502Applied Biostatistics II3
MEDB 5510Clinical Research Methodology3
MEDB 5520Introduction to Medical Informatics3
MEDB 5561Responsible Conduct of Research3
COMP-SCI 470Introduction to Database Management Systems (or)3
or COMP-SCI 371 Database Design, Implementation and Validation
COMP-SCI 5565Introduction to Machine Learning3
COMP-SCI 5566Introduction to Bioinformatics3
Electives:6
Research Experience Options (choose one of the following):0-6
Thesis (6 hours)
Capstone (3 hours and one additional elective course)
No Thesis or Capstone
Total Credits30-36

Epidemiology and Biostatistics Emphasis

MEDB 5510Clinical Research Methodology3
MEDB 5511Principles and Applications of Epidemiology3
MEDB 5535Quantitative Aspects of Epidemiologic Research3
MEDB 5501Applied Biostatistics I3
MEDB 5502Applied Biostatistics II3
MEDB 5561Responsible Conduct of Research3
Elective Courses (Epidemiology and Biostatistics):6
Biostatistics III-Mixed-Effects Models
Biostatistical Consulting Practicum
Human Genome Epidemiology
Special Topics
Introduction to R
Introduction to SAS
Introduction to SQL
Elective Coursework:6
Clinical Trials
Overview of Health Services Research
Social Determinants of Health
Introduction to Medical Informatics
Clinical Bioinformatics
Multidisciplinary Graduate Seminar
Health Outcomes Seminar
Research Experience Options (choose one of the following):0-6
Thesis (6 hours)
Capstone Course (3 hours and one additional elective course)
No Thesis or Capstone
Total Credits30-36

Genomic Emphasis

MEDB 5501Applied Biostatistics I3
MEDB 5502Applied Biostatistics II3
MEDB 5510Clinical Research Methodology3
MEDB 5561Responsible Conduct of Research3
LS-MBB 5530Advanced Principles of Molecular Biology3
LS-CBB 5520Advanced Principles of Cell Biology3
LS-MBB 5561Advanced Principles of Biochemistry3
MEDB 5514Human Genome Epidemiology3
MEDB 5521Clinical Bioinformatics3
Choose 6 credit hours of computer related informatics: 6
Bioinformatics and Data Analysis
Introduction to Database Management Systems
Database Design, Implementation and Validation
Research Experience Options (choose one of the following):0-6
Thesis (6 hours)
No Thesis
Total Credits33-39

 Admission Requirements

Please visit our Admissions Page to learn about our requirements

Admission Requirements

Please visit our Admissions Page to learn about our requirements.