Bioinformatics, MS—ALIGN Program

The Master of Science in Bioinformatics through the ALIGN program combines core course work in bioinformatics computerized methods, programming, and statistics with graduate electives that offer you the flexibility to specialize and build broader knowledge in both the life sciences and computer sciences. A co-op, frequently completed with leading employers in academia and industry, rounds out the program and assures graduates a competitive edge in the dynamic field of bioinformatics.

Complete all courses and requirements listed below unless otherwise indicated.

Core Requirements

ALIGN Course Work
BIOL 6301Molecular Cell Biology4
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
Co-op
BINF 6964Co-op Work Experience0

Electives

Complete 12 semester hours of graduate electives. You may choose electives outside this list in consultation with your faculty advisor.12
Stem Cells and Regeneration
Microbial Biotechnology
Advanced Microbiology
Microbial Ecology
Medical Microbiology
Biological Imaging
Immunology
Evolution
Comparative Neurobiology
Advanced Genomics
Cell and Molecular Biology of Aging
Molecular Cell Biology for Biotechnology
Biochemistry
Molecular Cell Biology (may count towards core and elective requirement)
Neurobiology and Behavior
Dynamics of Microbial Ecology
Biochemistry for Molecular Biologists
The Biotechnology Enterprise
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
Algorithms
Machine Learning
Information Retrieval
Data Mining Techniques
Collecting, Storing, and Retrieving Data
Introduction to Data Mining/Machine Learning
Ecological Dynamics
Basics and Probability and Statistics
Topology 1
Geometry 1
Introduction to Mathematical Methods and Modeling
Complex Networks and Applications
Network Science Data
Introduction to Computational Statistics
Information Design and Visual Analytics

Program Credit/GPA Requirements

32 total semester hours required
Minimum 3.000 GPA required