Bioinformatics and Computational Biology Graduate Academic Certificate

There is a large and growing demand for graduates with training in bioinformatics and computational biology. These areas are vital to the biotechnology industry, the medical sciences, and conservation biology. This certificate will provide graduate students who are pursuing graduate degrees in other areas with recognition for taking multiple courses of the BCB curriculum, and thus building a strong foundation in bioinformatics and computational biology. For more information please email bcb@uidaho.edu or visit the BCB Program office in Life Sciences South room 441D.

BIOL 522Molecular Evolution

3 cr

CS 515Computational Biology: Sequence Analysis

3 cr

MATH 563/BIOL 563Mathematical Genetics

3 cr

Three credits from the following in a different area than the student's disciplinary focus. This course must be approved by the BCB director or another member of the BCB governing board (3 cr):

BCB 510Computational Science for Biologists

3 cr

BCB 511Applied Bioinformatics

3 cr

BIOL 421Advanced Evolution/Population Dynamics

3 cr

BIOL 444Genomics

3 cr

BIOL 456Computer Skills for Biologists

3 cr

BIOL 545Principles of Systematic Biology

3 cr

BIOL 547/BIOL 532Virology

3 cr

BIOL 548Evolutionary Ecology

3 cr

BIOL 585Prokaryotic Molecular Biology

3 cr

BIOL 587Eukaryotic Molecular Genetics

3 cr

CS 511Parallel Programming

3 cr

CS 512Parallel Algorithms

3 cr

CS 570Artificial Intelligence

3 cr

CS 572Evolutionary Computation

3 cr

CS 576Data Mining Topics and Techniques

3 cr

MATH 428/ENGR 428/PHYS 428Numerical Methods

3 cr

MATH 451/STAT 451Probability Theory

3 cr

MATH 452/STAT 452Mathematical Statistics

3 cr

MATH 538/STAT 544Stochastic Models

3 cr

PLSC 542Biochemistry

3 cr

PLSC 588Genetic Engineering

3 cr

PHYS 533Statistical Mechanics

3 cr

STAT 519Multivariate Analysis

3 cr

STAT 565Computer Intensive Statistics

3 cr

Courses to total 12 credits for this certificate