Artificial Intelligence: Computer Engineering, MS

Master's in Artificial Intelligence

The Master of Science (MS) in Artificial Intelligence – Computer Engineering Track prepares students to integrate and advance AI methodologies within the domain of computer engineering. The curriculum emphasizes the design and implementation of intelligent systems, smart technologies, and autonomous decision-making processes through machine learning, robotics, computer vision, and deep neural networks.

This 33-credit-hour program equips graduates with the analytical and computational expertise required for emerging careers in AI driven system design, advanced algorithm development, and intelligent automation across industries such as energy, defense, manufacturing, and healthcare.

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Program Details

Department: School of Electrical and Computer Engineering

College: Engineering, Architecture and Technology

Available At: OSU Stillwater Campus

Degree

Master's of Science in Artificial Intelligence

Specialty Area(s)

Artificial Intelligence (CpE track)

Contact

Weili Zhang Regents Professor and Director of the ECE Graduate ProgramSchool of Electrical and Computer Engineering256 Engineering South405.744.7297 weili.zhang@okstate.edu

Curriculum

The Joint MS in Artificial Intelligence (Computer Engineering Track) offers a flexible pathway tailored to your pace and goals. The program requires completion of 11 courses (33 credit hours) and can be pursued full-time or part-time, with guidance from the Graduate
Coordinator to help you plan your degree.

Core Courses
(9 hours)

CS 5273 - Artificial Intelligence I
CS 5783 - Machine Learning
ECEN 5733 - Neural Networks
ECEN 5773 - Intelligent Systems

Track Required Courses
(6 hours)

ECEN 5513 - Stochastic Systems
ECEN 5743 - Deep Learning

Elective Courses
(18 hours)

CS 5793 - Artificial Intelligence II
CS 5683 - Big Data Analytics
ECEN 5283 - Computer Vision
ECEN 5243 Advanced Mobile Robotics
ECEN 5453 - Engineering Applications of Artificial Intelligence
ECEN 5793 - Digital Image Processing

Any core course not selected
ECEN 5080 - Special Topics (up to 6 hrs)
Mobile Robotics, AI in Engineering Applied Method with Python for Engineers
*At least 12 hours of elective courses must be from Computer Engineering (ECEN).

Why a Master's in AI at OSU?

Strong interdisciplinary collaboration between the School of Electrical and Computer Engineering and the School of Computer Science
Jointly supported by a dynamic team of research-active and teaching-focused faculty dedicated to academic excellence and student success
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 providing pathways for internships, mentorship, and professional growth

Meet our Departmental Faculty