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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.

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

Cost & Assistance

Cost

Scholarships

Assistantships & Funding Opportunities

 

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