Bioinformatics, MS

The Master of Science (MS) in Bioinformatics seeks to provide students with core knowledge in bioinformatics programming, integrating knowledge from the biological, computational, and mathematical disciplines.  Students in the MS program gain professional work experience via co-op.  The program offers students an opportunity to become equipped to apply bioinformatics and computational methods to biological problems.

The program entails a required core of course work in computational methods, programming, and statistics, enhanced by electives in molecular biology, biochemistry, molecular modeling, web development, database design and management, data mining, and other related topics.

Complete all courses and requirements listed below unless otherwise indicated.

Core Requirements

Computational Methods
BINF 6308Bioinformatics Computational Methods 14
BINF 6309Bioinformatics Computational Methods 24
Research and Seminar
BIOL 6381Ethics in Biological Research2
BINF 7385Bioinformatics Seminar2
Statistics and Programming
BINF 6200Bioinformatics Programming4
MATH 7340Statistics for Bioinformatics4
BINF 6964Co-op Work Experience0


Complete 12 semester hours from the following, chosen in consultation with your faculty advisor:12
BIOL 5000 to BIOL 8000
Introduction to Biotechnology
Team Skills in Biotechnology
Basic Biotechnology Lab Skills
The Biotechnology Enterprise
Bioprocess Fundamentals
Cell Culture Processes for Biopharmaceutical Production
Molecular Interactions of Proteins in Biopharmaceutical Formulations
Molecular Modeling
Programming Design Paradigm
Foundations of Artificial Intelligence
Database Management Systems
Principles of Programming Language
Managing Software Development
Computer Systems
Web Development
Fundamentals of Computer Networking
Machine Learning
Information Retrieval
Data Mining Techniques
DS 6020
Introduction to Health Informatics and Health Information Systems
Theoretical Foundations in Personal Health Informatics
Personal Health Interface Design and Development
Creation and Application of Medical Knowledge
Database Design, Access, Modeling, and Security
Emerging Technologies in Healthcare
Complex Networks and Applications
Network Science Data

Program Credit/GPA Requirements

32 total semester hours required
Minimum 3.000 GPA required