Artificial Intelligence: Computer Science, MS

artificial intelligence-computer engineering

Master's in Artificial Intelligence

The Master of Science (MS) in Artificial Intelligence (AI)-Computer Science Track equips students with the knowledge to not only apply current, cutting-edge AI technologies across a wide range of application areas, but also to develop the next-generation of AI systems.

This 33-credit-hour program prepares graduates for rapidly growing careers in an AI-driven economy that spans across sectors such as technology, energy, defense, manufacturing, and healthcare.

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Program Details

Department: Computer Science

College: Arts and Sciences

Available At: OSU Stillwater Campus

Degree

Master's of Science in Artificial Intelligence

Specialty Area(s)

Artificial Intelligence: Computer Science

Contact

Christopher Crick Associate Professor/Graduate Coordinator Department of Computer Science 213 MSCS 405-744-5673 chris.crick@okstate.edu

Curriculum

This 33-credit-hour program prepares graduates for rapidly growing careers in AI-driven system design, advanced algorithm development and intelligent automation across sectors such as energy, defense, manufacturing, and healthcare.

Program Requirements
(33 credit hours)

Core Courses
(9 hours)

CS 5723 - Artificial Intelligence I
CS 5783 - Machine Learning
ECEN 5733 - Neural Networks
ECEN 5773 - Intelligent Systems

Track Required Courses:
(6 hours)

CS 5513 - Numerical Computation
CS 5793 - Artificial Intelligence II

Elective Courses
(18 hours total)
At least 12 hours must be from Computer Science (CS)

CS 5683 - Big Data Analytics
CS 5753 - Representation Learning
CS 5693 - Responsible AI in Healthcare
CS 5773 - Computational Neuroscience
CS 5783 - Machine Learning
ECEN 5283 Computer Vision
ECEN 5513 Stochastic Systems
ECEN 5733 Neural Networks
ECEN 5743 Deep Learning
ECEN 5773 Intelligent Systems

Why a Master’s in AI at OSU?

Strong interdisciplinary collaboration between multiple disciplines, including engineering, computer science, and health care
Access to state-of-the-art computing resources and modern laboratory facilities
Flexible learning options with both in-person and online delivery formats
Opportunities to engage in faculty-led research in Artificial Intelligence, Energy Systems, and Robotics
Extensive industry partnerships provide pathways for internships, mentorship, and professional growth

Meet our Departmental Faculty

Careers

Graduates are prepared for careers such as:

AI & Machine Learning Engineer
Data Scientist / Computer Vision Engineer
Robotics & Intelligent Systems Engineer
R&D Engineer in Smart Energy, Automation, or Autonomous Systems

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