Complete all courses and requirements listed below unless otherwise indicated.

Students should refer to the course numbering table for graduate course leveling.

Core Requirements

Programming
CS 5010Programming Design Paradigm4
Algorithms
CS 5800Algorithms4

Breadth Areas

Complete three courses from two of the following breadth areas:12
Artificial Intelligence and Data Science
Foundations of Artificial Intelligence
Game Artificial Intelligence
Database Management Systems
Pattern Recognition and Computer Vision
Natural Language Processing
Machine Learning
Information Retrieval
Data Mining Techniques
Large-Scale Parallel Data Processing
Advanced Machine Learning
Systems and Software
Principles of Programming Language
Foundations of Software Engineering
Mobile Application Development
Computer Systems
Web Development
Fundamentals of Computer Networking
Compilers
Advanced Software Development
Building Scalable Distributed Systems
Theory and Security
Privacy, Security, and Usability
Complexity Theory
Software Vulnerabilities and Security
Network Security

Electives

Complete 12 semester hours from the following: 12
Mixed Reality
Thesis
Master’s Project
Readings
Cybersecurity: Technologies, Threats, and Defenses
Cybersecurity Principles and Practices
Computer System Security
Information System Forensics
Software Security Practices
Essentials of Data Science
Unsupervised Machine Learning and Data Mining

Program Credit/GPA Requirements

32 total semester hours required
Minimum 3.000 GPA required