Computer Science, Master of Science (M.S.)
General Information
The Department of Computer Science and Information Technology offers the Master of Science degree in Computer Science with concentrations in Artificial Intelligence in Data Science, Cyber Security and Digital Forensics, and Game Design.
Program Objectives
The objectives of the Master of Science in Computer Science program are:
- To provide an advanced degree accessible to computing professionals.
- To improve the technical skills of computing professionals.
- To improve the business skills of computing professionals, especially those in contracting positions.
- To teach the analysis and design skills needed to make wise technical choices.
- To provide in-depth studies in specific areas of computing.
- To provide capable computing consultants.
- To provide teachers for community colleges and technical schools.
- To teach legal, social, and ethical issues related to computer professionals. The legal issues include obligations and liabilities.
Admission Requirements
To be eligible for a clear admission to graduate standing applicants must have
- a baccalaureate degree from an accredited institution with minimum grade point average (GPA) of 2.5 overall, or 3.0 on the last 60 semester hours of the baccalaureate program.
- one of the following:
- satisfactory scores on GRE or GMAT. The expected satisfactory score is 149 or higher on Quantitative portion of the GRE or 37 points or higher on the Quantitative portion of the GMAT.
- A bachelor’s, master’s or PhD degree in Science, Technology, Engineering or Math with a GPA of at least 3.0.
- an undergraduate precalculus course or equivalent mathematic background.
Program Requirements
CIP Code: 11.0701
Students must complete 30 graduate hours in the program as outlined below, including 15 credit hours from 800-level courses and at least 15 credit hours from CSC courses.
Curriculum for the Computer Science Program
| Code | Title | Hours |
|---|---|---|
| Core Courses | ||
| CSC 730 | Programming and Data Structure | 3 |
| CSC 815 | Computer Admin and Security | 3 |
| CSC 825 | Network Applic and Security | 3 |
| CSC 831 | Databases and Algorithms | 3 |
| CSC 834 | Software Engineering | 3 |
| Concentrations | ||
| Students must select one of the following Concentrations: | 12 | |
Artificial Intelligence in Data Science | ||
Cyber Security and Digital Forensics | ||
| Electives | ||
| Choose from three hours of the following: | 3 | |
| Project Management | ||
| Co-op or Appl Lrn: Comp Scienc | ||
| Independent Study in _________ | ||
| Total Hours | 30 | |
- 1
Students who have completed equivalent programming course(s) do not need to take this course. These course equivalencies will be evaluated by the department when the students are admitted into the program.
Artificial Intelligence in Data Science Concentration
| Code | Title | Hours |
|---|---|---|
| Concentration Courses | ||
| CSC 746 | Artificial Intelligence | 3 |
| CSC 781 | Machine Learning | 3 |
| CSC 782 | Big Data | 3 |
| CSC 783 | Data Visualization | 3 |
| Total Hours | 12 | |
Cyber Security and Digital Forensics Concentration
| Code | Title | Hours |
|---|---|---|
| Concentration Courses | ||
| CSC 736 | Incident Response I | 3 |
| CSC 737 | Incident Response II | 3 |
| CSC 744 | Database Admin and Security | 3 |
| INF 718 | Principles of Cybersecurity | 3 |
| Total Hours | 12 | |