Interdisciplinary Computational Science Graduate Minor

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In recognition of the importance of modeling and simulation in an increasing number of applications, the Graduate Interdisciplinary Computational Science Minor is intended to help prepare science, math, and engineering students for leading roles in their professions.

Requirements

The student must earn 15 credit hours in specified courses.
Within the 15 credits, the student must earn at least 12 credits in graduate level classes (5000).
Within the 15 credits, the student must earn 6 credits outside of her/his department.
Only grades of B or better will be accepted for a course counting towards the minor.
For all students, the 15 hours of coursework will be divided into 9 credit hours of core courses and 6 credit hours of electives.

Core Courses

MATH 5310 - Computational Methods in Applied Sciences I Credits: 3
OR
COSC 5310 - Computational Methods in Applied Sciences I Credits: 3
COSC 5010 - Graduate Topics in Computer Science Credits: 1-6
MATH 5340 - Computational Methods II Credits: 3
OR
COSC 5340 - Computational Methods II Credits: 3
BOT 4550 - Computational Biology Credits: 4
OR
BOT 5550 - Computational Biology Credits: 4
GEOL 4030 - Groundwater Flow and Solute Transport Modeling Credits: 3
OR
GEOL 5030 - Groundwater Flow and Solute Transport Modeling Credits: 3
ME 5461 - Computational Fluid Dynamics I Credits: 3
ME 5462 - Computational Fluid Dynamics II Credits: 3
STAT 5660 - Computationally Intensive Methods in Statistics Credits: 3

Electives

COSC 5110 - Analysis Of Algorithms Credits: 3
STAT 5680 - Advanced Bayesian Statistics Credits: 3
STAT 5380 - Bayesian Data Analysis Credits: 3
High-Performance Computing in Geosciences, 2 hrs
MATH 5320 - Mathematics Modeling of Processes Credits: 3
CHEM 4560 - Molecular Modeling Credits: 3
OR
CHEM 5560 - Molecular Modeling Credits: 3
PHYS 4840 - Mathematical and Computational Physics II Credits: 4
MATH 4300 - Introduction to Mathematical Modeling Credits: 3