The Institute for Scientific Computation developed the Computational Sciences Certificate Program to meet the increased need for computational techniques that help solve complex science and engineering problems. This program targets science and engineering students enrolled in graduate studies, providing them with a broad-based multidisciplinary enhancement to their degree program and preparing them with the intellectual infrastructure necessary as a leader in computational science, engineering, and technology.

By completing this certification program, a graduate will receive an official certified transcript that will add value and marketability to their advanced degree. The Computational Sciences Certificate Program provides formal documentation on a student’s transcript that they successfully completed courses focused on computational aspects that supplement their degree in science or engineering. To fulfill the certification requirements, a student must complete four total courses (one core and three electives), as described by the program curriculum, and a capstone project within their home department.

For more information, visit http://isc.tamu.edu/.

Course List

Code	Title	Semester Credit Hours
Core Courses		3
Select one of the following
CSCE 659	Parallel/Distributed Numerical Algorithms and Applications 1
MATH 609	Numerical Analysis
STAT 604	Topics in Statistical Computations
Elective Courses		9
Select three of the following, one of which must be exclusive of the student's home department 2
AERO 615	Computational Fluid Dynamics for Aerospace Applications
CSCE 603	Database Systems and Applications
CSCE 605	Compiler Design
CSCE 620/VIZA 670	Computational Geometry
CSCE 626	Parallel Algorithm Design and Analysis
CSCE 654	Supercomputing
CVEN 680	Advanced Computation Methods for Fluid Flow
GEOP 620	Geophysical Inverse Theory
MATH 610	Numerical Methods in Partial Differential Equations
MATH 648	Computational Algebraic Geometry
MATH 660/CSCE 660	Computational Linear Algebra
MATH 661	Mathematical Theory of Finite Element Methods
MATH 676	Finite Element Methods in Scientific Computing
MEEN 672	Introduction to Finite Element Method
NUEN 618	Multiphysics Computations in Nuclear Science and Engineering
OCNG 618	Numerical Methods for the Geosciences
PETE 656	Advanced Numerical Methods for Reservoir Simulation
STAT 605	Advanced Statistical Computations
STAT 608	Regression Analysis
STAT 626	Methods in Time Series Analysis
STAT 636	Applied Multivariate Analysis and Statistical Learning
Other
Capstone Project 3
Total Semester Credit Hours		12

¹

MATH 609 will also satisfy the CSCE 653 prerequisite.

²

With approval by the director of the Institute for Scientific Computation (ISC), student may substitute a course outside those listed as elective options. In such situations, the student must justify the substitution to and seek approval from the ISC's director prior to enrolling in the course. The director will include their support for the substitution in a memorandum to the Graduate and Professional School (GPS) after the student files their degree plan with GPS and copies of these documents with the ISC.

³

The capstone project's goal is to provide students with experience in the computational sciences. The capstone project may be fulfilled by:

1. an independent study graduate course within the student's home department, or
2. an independent study graduate course outside the student's home department, or
3. as part of a MS thesis or project required by the student's home department, or
4. as part of a PhD dissertation.

To fulfill this requirement, the ISC's associate director or director must approve the capstone project, certify its computational component, and document its completion.