Admission Requirements

• A bachelor’s degree, official transcripts for all undergraduate coursework (minimum 3.0 GPA required), official transcripts for all graduate coursework (if applicable), and a curriculum vitae. While not required, two letters of recommendation and highlighted industry experience can be used to improve an individual’s application. GRE is not required.
• While not required, incoming students should have a computing principles background (at least 2 credit hours of computer programming at the undergrad level is helpful). Students who do not have an undergraduate course in computing principles are advised to take the following courses:
  • CMST 190  – Information Engineering for Data Science (1 credit hour)
  • CMST 290  – Scientific Programming for Machine Learning (1 credit hour)

Graduation Requirements

The student (a) must have a bachelor’s degree or equivalent, (b) must not be on probation, (c) must have a cumulative grade point average (GPA) of 3.0 or higher, (d) must meet all the requirements of the Graduate School, the student’s academic program area, and the student’s supervisory committee, and (e) must be enrolled during the semester in which the degree requirements are completed.

Course Requirements

• CYBR 790 - Spatial Computing for Virtual Environments Credits: 3
• CYBR 793 - Computer Geometry for Modeling Credits: 3
• CYBR 795 - Machine Learning for Simulations Credits: 3
• CYBR 801 - Prototyping for Advanced Immersive Systems Credits: 3

Total Hours Required for Graduate Certificate: 12