Program Description

The Department of Biomedical and Health Informatics at the School of Medicine, in cooperation with the School of Biological Sciences and the School of Computing and Engineering, offers the Master of Science in Bioinformatics degree.  Students may complete the degree without an area of emphasis or may choose one of three emphasis areas (Clinical Research, Computational Bioinformatics, or Genomic Bioinformatics).

The program is designed to prepare a new generation of informatics professionals who will have the necessary skills to work collaboratively for the advancement of health sciences. Graduates are expected to be effective team members who can contribute to education, research, and development in the fields of bioinformatics and/or clinical research. This degree program prepares students to assume a variety of professional informatics positions in translational research and development, institutional management, public policy, information systems, hospitals, private industry, or as members of a clinical research team. Students completing the M.S. Bioinformatics degree may also choose to continue their education at advanced graduate levels.

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

Student Learning Outcomes

Students graduating from this program will:

  • Have the ability to perform statistical analysis.
  • Have the ability to generate a research hypothesis.
  • Have the ability to propose, conduct, and report research.
  • Have the ability to apply knowledge and skills in biomedical informatics.
  • Have the ability to communicate scientific information.

Degree Requirements

A minimum of 36 credit hours are required to earn the Master of Science in Bioinformatics degree. Students must complete the program of study while maintaining a 3.0 or better grade point average to earn the MSB.  The total number of credit hours, required coursework, elective course work and Thesis or Capstone requirements vary based on the MS Bioinformatics option selected by the student. These options are shown in the following table:

 

MSB without an Emphasis

Computational Emphasis

Clinical Research Emphasis

Genomics Emphasis

Required course hours

18

24

24

33

Elective course hours*

12

6

6

0

Research & Thesis hours

6

6

6

6

Capstone option available*

Yes

Yes

Yes

No

Minimum Total hours

36

36

36

39

         

*Students may choose to complete the 3 credit hour Capstone course and 3 additional elective credit hours in place of Research and Thesis credit hours. This option is not available for the Genomics Bioinformatics emphasis.

MSB Emphasis Options

  1. The M.S. in Bioinformatics (without an emphasis area): Gives students flexibility to complete a bioinformatics curriculum that best meets their academic and career goals.

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

  3. Computational Bioinformatics: Emphasizes the development and use of the next generation of bioinformatics tools and software.

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

The required coursework for each M.S. Bioinformatics option are listed below. Information about elective coursework can be obtained from program faculty. Please visit our Department Website to learn more about this program.


M.S. Bioinformatics without emphasis area

MEDB 5501Biostatistics I3
MEDB 5502Biostatistics II3
MEDB 5510Clinical Research Methodology3
MEDB 5561Responsible Conduct of Research3
At least 2 from the following:
MEDB 5520Intro-Medical Informatics3
or MEDB 5521 Clinical Bioinformatics
or BIOLOGY 5525 Bioinformatics and Data Analysis
or COMP-SCI 5566 Introduction to Bioinformatics


Clinical Research Emphasis

MEDB 5501Biostatistics I3
MEDB 5502Biostatistics II3
MEDB 5510Clinical Research Methodology3
MEDB 5511Principles and Applications of Epidemiology3
MEDB 5512Clinical Trials3
MEDB 5513Overview of Health Services Research3
MEDB 5520Intro-Medical Informatics3
MEDB 5561Responsible Conduct of Research3


Computational Emphasis

MEDB 5501Biostatistics I3
MEDB 5502Biostatistics II3
MEDB 5510Clinical Research Methodology3
MEDB 5520Intro-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 Statistical Learning3
COMP-SCI 5566Introduction to Bioinformatics3


Genomic Emphasis

MEDB 5501Biostatistics I3
MEDB 5502Biostatistics II3
MEDB 5510Clinical Research Methodology3
MEDB 5561Responsible Conduct of Research3
LS-CBB 5530Cell and Molecular Biology I3
LS-CBB 5520Cell and Molecular Biology II3
LS-MBB 5561General Biochemistry I3
LS-MBB 5562General Biochemistry II3
BIOLOGY 5519Principles of Evolution3
BIOLOGY 5525Bioinformatics and Data Analysis3
COMP-SCI 470Introduction to Database Management Systems3
or COMP-SCI 371 Database Design, Implementation and Validation

Please visit our Admissions pages to learn about our requirements.