The MS in Artificial Intelligence (AI) is designed to equip both current and aspiring computing professionals with a foundational understanding of AI along with a practical proficiency in exploiting AI technologies to develop holistic AI solutions for their respective fields. The courses in this program cover core AI topics such as an introduction to AI, constraint processing, machine learning, deep learning, natural language processing, data mining, game theory, and information retrieval. Students have the option to focus on applying AI techniques to other disciplines including data science, cognitive science, engineering, and business to address complex AI challenges. The primary objectives of this
program are:

• Foundation in core AI: Ensure that students develop a solid understanding of the fundamental principles of AI, including introduction to AI, constraint processing, machine learning, deep learning, natural language processing, neural networks, game theory, multiagent systems, image processing, data mining, information retrieval, and
  computer vision.
• Hands-on experience with AI tools and technologies: Emphasize the application of AI across different sectors, such as healthcare, engineering, commerce, agriculture, media, finance, robotics, and autonomous systems, to solve practical problems.
• Research and innovation: Equip students with the skills needed to conduct cuttingedge industrial research in AI and contribute to advancements in the field. Ethical and responsible AI development: Foster an understanding of the ethical, legal, and societal implications of AI, with a focus on fairness, accountability, and transparency.
• Close the skills gap: Address the increasing demand for AI specialists in the state, ensuring a steady pipeline of skilled professionals.
• Increase career opportunities through lifelong learning: Enhance the expertise and employability of the workforce, empowering professionals to advance their careers or transition into AI-focused roles. Foster a commitment to lifelong learning to stay ahead of the fast-evolving advancements in AI and emerging technologies.

The School of Computing is home to advanced computing research infrastructure, including the Holland Computing Center, with over 121 trillion floating-point operations per second (121 TFlops) computation rate and over 7 petabytes of storage. Graduate students have access to state-of-the-art research facilities, including unmanned aerial vehicle testbeds, a city-wide gigabit wireless network testbed, advanced embedded systems facilities, and dedicated research labs.

To learn more about the Faculty, visit: Faculty Bios

• Minimum English proficiency: Internet TOEFL 100, IELTS 7.0, Duolingo 120.
• GRE is not required
• Resume/CV
• Personal Statement: Your statement should include your research interests, your objectives, and names of potential faculty advisors.
• Letters of recommendation: Three letters are required; up to 5 may be submitted if identified in the application form prior to submission.

For financial consideration: apply by January 15 for Fall or by September 1 for Spring.  Otherwise: March 1 for Fall or October 1 for Spring.