Master of Science in Bioinformatics
- 12 courses, 36 credits
- This program is available on campus, with some courses available online. GPS anticipates that the program may be available solely online by Fall 2013.
The Master of Science in Bioinformatics includes the completion of six core courses and six elective courses. Program Pre-Requirements are offered, and some, all, or none may be required per decision of the Admissions Committee.
Students are required to take and pass General, Organic and Biochemistry and Molecular, Cell and Developmental Biology prior to enrolling in any other biology related course. Upon successful completion, students may choose to enroll in the following biology related courses: Protein Sequence and Structure Analysis, Nucleic Acid Sequence and Structure Analysis and Probability and Statistics. The remaining biology courses can only be taken upon successful completion of these courses. The biology related courses are structured in such a way to aid students in building a strong foundation of knowledge, which is drawn upon each additional course(s). Please note that the scripting, programming, and elective courses from category B may be taken in any order and at any time in the program.
Please also see more details on the Bioinformatics Program. You may also download the current Bioinformatics Program brochure (Adobe Reader required).
Program Pre-Requirements
Some, all, or none may be required per decision of the Admissions Committee. At most, two classes in this section can count towards category B Electives. If a class is waived it does not count towards elective credit.
RBIF 100
Introduction to Bioinformatics Scripting and Programming
RBIF 103
Probability and Statistics
RBIO 102
Molecular, Cell and Developmental Biology
RCHE 101
General, Organic, and Biochemistry
Core Courses
All six courses must be completed.
RBIF 101
Structural Bioinformatics
RBIF 109
Biological Sequence Analysis
RBIF 110
Molecular Modeling and Cheminformatics
RBIF 111
R for Biomedical Informatics
RBIF 112
Biological Data Mining and Modeling
RBIF 115
Statistical Genetics
Electives (choose six)
In selecting six electives, at least three should be from Category A.
Electives - Category A
At least three electives must be completed from this category.
RBIF 102
Genomics and Genetics
RBIF 105
Proteomics: Analytical and Computational Principles
RBIF 106
Drug Discovery and Development
RBIF 108
Computational Systems Biology
RBIF 113
Biological Database Systems
RBIF 114
Whole-genome Gene Expression Analysis
RBIF 120
Advanced Topics in Computational Biology
RBIO 101
Molecular Biology Lab: from DNA to Protein
Electives - Category B
Up to three electives may be completed from this category. Only two program pre-requirements may be applied.
RBIF 123
Java Programming for Bioinformatics
RCOM 102
Professional Communications
RHIN 110
Perspectives on Health/Medical Information Systems
RMGT 110
Organizational Leadership and Decision Making
RSEG 102
Advanced Programming in Java
RSEG 103
Advanced Programming in C++
RSEG 105
Java Enterprise Programming
RSEG 107
Advanced Programming in Perl
RSEG 109
Object-Oriented Design
RSEG 110
Unix Tools
RSEG 113
Advanced Programming in C++ (Level 2)
RSEG 120
Software Development Methodologies
RSEG 151
XML and Related Languages
RSEG 161
Web Development Technologies
RSEG 170
Database Management
RSEG 180
Advanced Programming in C#