Graduate Programs
Degree Programs
Masters
Bioinformatics
Bioinformatics is a pure and applied science dealing with the collection, management, analysis and dissemination of biological data and knowledge, especially with respect to genetics and molecular biology. A Master of Science in Bioinformatics addresses needs for education in this rapidly growing field. This is an interdisciplinary program involving faculty from the departments of biology, computer science, chemistry, library and information science, and others.
The end of the twentieth century saw an explosion of data discovered from living organisms, especially in areas of molecular biology and genetics. The goal of bioinformatics is to deal with this flood of data, organize it as comprehensible information, and turn it into useful knowledge. For example, the flow of information from the Human Genome Project will revolutionize medical practice and biological research in this century and enable an understanding of most inherited diseases. Study of the genomic code, coupled with new understanding of its organization, regulation and function in cells, and in development of organisms, is forming the basis for designing new treatments for many diseases and for understanding and modulating health problems associated with aging. Genome information is quickly becoming the basis for designing new drugs. It is also central to the improvement of genomes of economically important crops and animals.
Experienced bioinformaticians are limited in number, while the need for them in industry, academe, and government has grown rapidly. Full understanding and application of this new data requires a large body of intelligent, creative, and experienced scientists with a firm understanding of both computation and biology. There is a current and projected shortage of such people and a pressing need for educational institutions to teach bioinformatics. New directions following the unraveling of the genomic code also point to greatly increased information flow and an increasing scale in the application of computing methods to biosciences.
The School of Informatics collaborates closely with the Center for Computational Biology and Bioinformatics and the Department of Biochemistry in the School of Medicine, the Department of Computer and Information Science in the School of Science, and the Department of Electrical and Computer Engineering in the School of Engineering and Technology. Research and learning opportunities for students abound.
Degree Requirements
The bioinformatics curriculum includes a set of core and elective courses covering concepts and training in bioinformatics, biosciences and informatics, and computer sciences. A primary goal of this curriculum is to provide scientists with a strong foundation in the areas of computation/informatics and biology, though their primary focus may be in one or the other area. The integration of knowledge from biology, computing, mathematics, and related areas will receive particular emphasis. Students with different levels of background in biology, computing, and informatics sciences are encouraged to apply. Students with academic deficiencies will address these through individually planned programs of suggested course work. Students will gain experience in the applications of computing methods to biology information by completing course work and nonclassroom original research projects. Informatics and biosciences faculty will supervise these projects jointly.
Prerequisites
Students holding a bachelor's degree in computer science or a related field from an accredited four-year collegiate institution must have completed all or part of the prerequisites courses listed below:
BIOL K322 Genetics AND BIOL K324 Cell Biology
BIOL 507 Molecular Biology can be used to replace K322
Students holding a bachelor's degree in life sciences or a related field from an accredited four-year collegiate institution must have completed all or part of the prerequisites courses listed below:
Programming in C, C++, or Java
Programming/Database
Statistics
To receive a Master of Science degree in Bioinformatics, the applicant must be admitted as a graduate student and complete 36 credit hours including: 15 credit hours in bioinformatics Core A courses, 3 credit hours in seminar courses, and 12 credit hours in bioinformatics Core B. The students have the options of taking (1) six credit hours towards a thesis, or (2) three credit hours towards a project, or (3) a non thesis/project option without thesis/project credit hours.
Core A Courses (15 credit hours)
INFO I501 Introduction to Informatics
INFO I519 Introduction to Bioinformatics
INFO I556 Biological Database Management
CSCI 548 Algorithms in Bioinformatics
INFO I575 Informatics Research Design
Required Seminar Courses (3 credit hours)
INFO I532 Seminar in Bioinformatics
Core B Courses (12 credit hours - select four of the five)
INFO I529 Machine Learning in Bioinformatics
INFO I619 Structural Bioinformatics
INFO I646 Computational Systems Biology
INFO I656 Translational Bioinformatics Applications
NURS R607 Advanced Statistics
Thesis/ Project (3 - 6 credit hours)
INFO I692 Bioinformatics Project (3 cr.)
INFO I692 Bioinformatics Thesis (6 cr.)
Project/Thesis (6 cr.)
Students may perform an independent research project and produce a report or thesis for public defense. The project might consist of a research paper, a designed artifact, or other appropriate deliverable format.