Computational Sciences - Certificate

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

Core Courses
Select one of the following:3
Numerical Analysis
Topics in Statistical Computations
Parallel/Distributed Numerical Algorithms and Applications 1
Elective Courses
Select three of the following, one of which must be exclusive to the student's home department: 29
Numerical Methods for Internal Flow
Database Systems and Applications
Compiler Design
Parallel Algorithm Design and Analysis
Advanced Computation Methods for Fluid Flow
Computational Fluid Dynamics
Geophysical Inverse Theory
Numerical Methods in Partial Differential Equations
Computational Algebraic Geometry
Mathematical Theory of Finite Element Methods
Finite Element Methods in Scientific Computing
Introduction to Finite Element Method
Multiphysics Computations in Nuclear Science and Engineering
Numerical Methods for the Geosciences
Advanced Numerical Methods for Reservoir Simulation
Advanced Statistical Computations
Regression Analysis
Methods in Time Series Analysis
Applied Multivariate Analysis
Computational Geometry
Computational Linear Algebra
Capstone Project 3
Total Semester Credit Hourse12

 MATH 609 will also satisfy the CSCE 653 prerequisite.


With approval by the director of the Institute for Scientific Computation (ISC), students 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 Office of Graduate Studies (OGS) after the student files their degree plan with OGS and copies of these documents with the ISC.


The capstone project's goal is to provide students with experience in 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.