UMKC Catalog


Requirements for Graduation in the Master of Science Program in Bioinformatics

Student Learning Outcomes

Graduates of the M.S. in Bioinformatics Program will be able to:

  1. Demonstrate lifelong learning skills by continually setting learning goals, pursuing them, and applying the knowledge to their profession
  2. Recognize and use bioinformatic factors/data to influence health, disease, disability, and access to care
  3. Establish productive collaborations with academia, industry, and government agencies
  4. Communicate effectively with diverse groups of professionals
  5. Demonstrate commitment to the principles of responsible research: honesty, efficiency, accuracy, and objectivity
  6. Apply necessary skills to work constructively for the advancement of health sciences, including:
    • Design databases, plan new clinical trials, and conduct decision analyses based on existing clinical data
    • Implement electronic health record systems
    • Research and publish on the role of biomedical informatics in genetic research
    • Work across disciplines such as engineering, computer science, and health care
    • Contribute to advances in biomedical informatics

Program Requirements:

The Master of Science in Bioinformatics program has three areas of emphasis.

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

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

Required Courses:

All students must take four core courses:

Additional required courses:

Computational Emphasis:

Clinical Research Emphasis:

Genomic Emphasis:


Other requirements:

6 credit hour thesis plus 2 electives (required for Genomic, option for Computational and Clinical Research)

3 credit hour practicum plus 1 elective (option for Computational and Clinical Research)

Suggested electives:

Computational Emphasis:

Advanced Software Engineering (COMP-SCI 5551)
Knowledge Discovery & Management (COMP-SCI 5560)
Foundations of Computational Intelligence (COMP-SCI 5590CI)
Neural and Adaptive Systems ( E&C-ENGR 5590NN)
Advanced Biomedical Signal Processing (E&C-ENGR 5590BP)
Biomedical Image Processing (E&C-ENGR 5590B)
Pattern Recognition (E&C-ENGR 5590PR)
Design and Analysis of Algorithms (COMP-SCI 5592)
Architecture of Database Management Systems (COMP-SCI 5570)
Large Scale XML Data Management (COMP-SCI 5590LD)
Clinical Epidemiology (MEDB 5111)
Evolution (BIOLOGY 5519)
Bioinformatics and Data Analysis (BIOLOGY 5525)

Clinical Research Emphasis:

Qualitative Methods in Nursing Research (NURSE 5557)
Qualitative Research Methods (NURSE 5670)
Project Management (DSOM 5543)
Human Genome Epidemiology (MEDB 5114)

Genomic Emphasis:

Mammalian Physiology (BIOLOGY 5534)
Neurobiology (BIOLOGY 5542)
Graduate Biophysical Principles (LS-CBB 5501)
Graduate Virology (LS-CBB 5504)
Membrane Biochemistry and Biophysics (LS-CBB 5566)
Developmental Biology (LS-MBB 5509)
Structure and Function of Proteins (LS-MBB 5565)

Graduation Requirements:

  • A 3.0 grade point average
  • Successful completion of  36 credit hours
    • 30 hours with 6 hour thesis (required for Genomic emphasis, option for Computational and Clinical Research emphases).
    • 33 hours with 3 hour practicum (option for Computational and Clinical Research emphases
  • All other requirements for graduation as stated in the General Graduate Academic Regulations and Information section of this catalog

Additional information and admission requirements may be obtained at the bioinformatics web site at