Applicants for admission to the M.S. Bioinformatics program must have earned, or will soon earn, a baccalaureate degree from a nationally accredited college or university. It is preferred that baccalaureate degrees be in a scientific discipline, or that the applicant holds a health-related professional degree. It is preferred that applicants have earned a cumulative GPA of 3.0 or higher. It is recommended that applicants interested in the Genomics emphasis complete the following pre-requisite courses:
Genetics
Biochemistry or molecular biology
Discrete mathematics/structures
A minimum combined (verbal and quantitative reasoning sections) GRE score of 300 is required. While the preferred exam is the GRE, applicants who have earned an MCAT score may use that score in place of the GRE. If applicants choose to submit an MCAT score, the minimum score is a 24 on the old MCAT or a 500 on the 2015 MCAT. TOEFL Scores: A minimum score of 550 (paper-based exam), 213 (computer-based exam) or 79 (Internet-based exam) is required. IELTS Scores: A minimum score of 6.0 is required for graduate-level study at UMKC.
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.
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Introduction to Bioinformatics (CS 5566)
Medical Informatics (MEDB 5120), and
Machine Learning in Bioinformatics (CS 5567).
Students can elect to do a 6 credit hour thesis or a 3 credit hour capstone plus one additional elective
All students should take two electives if they are selecting the thesis option and three if they are selecting the practicum option. Students should work with their advisor to determine the most appropriate electives. A list of suggested electives is below:
Knowledge Discovery & Management (CS5560)
Foundations of Computational Intelligence (CS5590CI)
Neural and Adaptive Systems (ECE5590NN)
Advanced Biomedical Signal Processing (ECE5590BP)
Biomedical Image Processing (ECE5590B)
Pattern Recognition (ECE5590PR)
Design and Analysis of Algorithms (CS5592)
Architecture of Database Management Systems (CS570)
Large Scale XML Data Management (CS5590LD)
Clinical Epidemiology (BMED5111)
Evolution (BIOL5519)
Bioinformatics and Data Analysis (BIOL5525)
Clinical Bioinformatics (MEDB 5521)
If students have already met the requirements of a course listed above, they may petition to substitute an elective for this course.
Medical insurance: 1999USD/year
