MS in Computational Science

Catalog Year: 2023-2024

Banner Code: SC-MS-CSIM

The Master of Science in Computational Science addresses the growing demand for trained computational scientists and engineers, and data scientists. It combines a solid foundation in computational science skills with courses in a variety of scientific and engineering computer-intensive areas where modeling and simulation, data analysis, and high performance computing play a central role.

Working with an advisor, a student may choose to pursue an area of emphasis. The areas of emphasis are:

  • Computer Modeling and Simulation: Intended for students who wish to learn computational solution techniques for modeling and simulation of scientific and engineering phenomena.
  • Data Science: Intended for students who wish to learn computational methods for acquiring, extracting, and analyzing large-scale data obtained by observations, experiments, modeling, and database searches.

Students may also combine areas of emphasis to create their own customized curriculum under the guidance of the graduate coordinator.

Most of the courses are offered in the late afternoon or early evening to accommodate students with full-time employment outside of the university.

The University Catalog is the authoritative source for information on program requirements and courses. The Schedule of Classes is the authoritative source for information on classes scheduled for this semester. See the Schedule for the most up-to-date information and see Patriot web to register for classes. Requirements may be different for earlier catalog years. See the University Catalog archives.

(Formerly: SC-MS-COMP)

Degree Requirements

Total credits: 30

Students should refer to the Admissions & Policies tab for specific policies related to this program.

Core Courses

Select 6 credits from the following: 6
Numerical Methods  
Scientific Databases  
High-Performance Computing  
Scientific and Statistical Visualization  
Total Credits 6

Computational Extended Core

Select 15 credits from any graduate-level CSI, CDS, or CSS courses 1 15
 
 
 
Total Credits 15
1

Not including the following research courses: CSI 796 Directed Reading and Research, CSI 798 Practicum Project, CSI 799 Master's Thesis, CSI 898 Research Colloquium in Computational Sciences and Informatics, CSI 899 Colloquium in Computational and Data Sciences, CSI 991 , CSI 996 Doctoral Reading and Research, or from courses previously taken.

Electives

Select 9 credits of electives 1,2,3 9
Total Credits 9
1

Typically chosen from computational sciences and informatics, chemistrymathematicsphysicsengineeringinformation technology, and statistics courses.

2

Students should create a curriculum plan for an area of emphasis or combined areas of emphases in consultation with their academic advisor.

3

 No more than 6 credits may be chosen from areas outside of CSI.

Elective credits may also include:

CSI 796 Directed Reading and Research 1-6
CSI 798 Practicum Project 1-3
CSI 799 Master's Thesis 1-6