MS in Artificial Intelligence

Career prospects: A wealth of opportunities

Our graduates find success in a wide range of careers, including:

• Data scientist
• AI programmer
• Natural language processing developer
• Computer vision developer
• Machine intelligence engineer
• QA automation engineer

Co-ops and internships: Rated #1

Through our co-op program, ranked #1 in the country by U.S. News & World Report, you’ll have opportunities to apply your skills and knowledge in industry settings while you build valuable professional connections. Some recent co-op and internship positions include:

• Computational biology co-op
• AI technology and automation engineering co-op
• AI and data science development intern
• Generative AI product development co-op
• Research data analyst intern

Research opportunities: Pursue your passion

You’ll collaborate with leading researchers at top-tier facilities, exploring big questions and playing an important role in the discoveries of tomorrow. Whether you’re interested in a research career, applying to PhD programs, or simply building your expertise through hands-on experience, our diverse range of research projects will give you opportunities to make meaningful contributions.

Learning outcomes

The MS in Artificial Intelligence will prepare you to:

• Understand representations, algorithms, and techniques used across the AI industry and academia and be able to apply and evaluate them in applications as well as develop your own.
• Understand the basic processes that an agent must perform, from perceiving its environment, making decisions on how to act and performing those actions, as well be able to develop and evaluate the technology that can be used to perform these processes.
• Understand and apply machine learning techniques to draw inferences from data and help automate the development of AI systems and components.
• Understand the various ways and reasons humans are integrated into mixed human-AI environments, whether it is to improve overall integrated system performance, improve AI performance, or influence human performance and learning.
• Understand the ethical concerns in developing responsible AI technologies.
• Model human behavior, develop human-AI systems, and evaluate their performance.
• Demonstrate knowledge of the use of AI algorithms and processes in one of the specialization areas: robotics and agent-based systems, vision, intelligent interaction, machine learning, and knowledge representation and reasoning.