Degree Requirements

Computer Science

• Core Courses: 
  • CS 5111: Bridge to Advanced Computing
  • CS 5206: Probability and Computing
  • CS 5400: Introduction to Artificial Intelligence
  • CS 6010: Seminar Course
• 9 credit hours of AI lecture course electives.

"X"

• At least 12 credit hours of Discipline-Specific lecture course electives
• At least 3 credit hours at the 6000-level

List of AI Electives

• CS-5401: Evolutionary Computing
• CS-5402: Introduction to Data Mining
• CS-5403: Introduction to Robotics
• CS-5404: Introduction to Computer Vision
• CS-5408: Game Theory for Computing
• CS-5420: Introduction to Machine Learning
• CS-5480: Deep Learning
• CS-6202: Markov Decision Processes
• CS-6400: Advanced Topics in Artificial Intelligence
• CS-6401: Advanced Evolutionary Computing
• CS-6402: Advanced Topics in Data Mining
• CS-6405: Clustering Algorithms
• CS-6406: Machine Learning for Computer Vision
• CS-5411: Natural Language Processing
• CS-5421: Reinforcement Learning
• CS-6408: Algorithmic Game Theory
• CS-6411: Large Language Models

Requirements for Admission

• Documents needed
  • Online application
  • Resume/CV
• Undergraduate Coursework       

               GPA of 3.0 over the last 2 years of undergraduate degree.

• GRE 

               Not required.        However, applicants who believe their GRE scores better demonstrate their potential for success in the AI+X program may elect to submit those scores

• English Proficiency (International Applicants)

            TOEFL: 80   |   IELTS: 6.5   |   PTE: 58  |  Duolingo: 115

Recommended prior knowledge:

• Strong math skills
• Competency in a modern programming language
• Computer science core subjects, including:

• Algorithms
• Data Structures
• Discrete Mathematics & Automata

Program and application information

Application deadlines and forms

Assistantship and fellowship opportunities

• National Physical Science Consortium Fellowship application
• GTA Application 

• GTA/GRA Assessment Procedures