Artificial Intelligence

Students in the MS in Artificial Intelligence program will learn from experts operating at the leading-edge of AI development. With a long-standing commitment to social good, Tufts School of Engineering faculty and students work together to examine the social and ethical contexts in which AI is deployed. Receive mentorship from faculty and industry professionals who are internationally recognized leaders in AI-powered robotics, computer vision, machine learning, data analysis, decision-making, and assistive technology.

Designed for students with a background in computer science, mathematics, or a related technical field, the MSAI curriculum covers AI applications and techniques — including machine learning, deep learning, natural language processing, computer vision, and knowledge representation.

Program Highlights

Students gain hands-on experience through projects, co-ops and internships, learning to apply AI algorithms and tools to real-world problems. Coursework balances the theoretical foundations of AI with the practical skills, ethics and societal impacts of our world today.

The program includes a core curriculum and department-specific tracks.

• Core Curriculum: In-depth concepts in artificial intelligence, machine learning, ethics, and mathematics.

• MSAI – Computer Science:  Principles and applications of machine learning and artificial intelligence from a computational perspective, with a strong emphasis on the broader social context in which AI technologies are developed and implemented.

• MSAI – Electrical and Computer Engineering: Integrate principles of machine learning and artificial general intelligence with specialized engineering domain knowledge, covering both fundamental and systems concepts in AI and how to apply these methods to diverse domains.

Students will develop an ability to understand, implement, and deploy a wide range of AI technologies across disciplines, and they'll have the opportunity to work closely with faculty every step of the way. Collaborate with and learn from some of the most renowned experts in the country, all while seamlessly transitioning from graduate studies to a full-time career.

Graduate Cooperative Education (Co-Op) Program

The School of Engineering's Graduate Cooperative Education (Co-Op) Program provides students with the opportunity to apply the theoretical principles they have learned in their coursework to real-world engineering projects. Gain up to six months of full-time work experience, build your resume, and develop a competitive advantage for post-graduation employment. Learn more about the Co-Op Program.

Program Outcomes

In recent years, the prevalence of AI has skyrocketed, with a wide range of industries adopting AI technology. The U.S. Bureau of Labor Statistics estimates that the field has grown 28% annually since 2014. A master's degree in artificial intelligence from Tufts University will give you a competitive advantage in a dynamic job market, all while giving you an opportunity to help develop a responsible AI future.

Graduates of the MS in AI program will be capable of understanding, implementing, and deploying a wide range of AI technologies, with an eye towards the underlying ethical and social contexts. Graduates will be poised to go directly into both industry and science, or continue on to do advanced research at a doctoral level.

What do you get at Tufts? A rigorous engineering education in a unique environment that blends the intellectual and technological resources of a world-class research university with the strengths of a top-ranked liberal arts college. Tufts University is one of the nation’s top research universities, earning a "tier 1" classification from the Carnegie Foundation and membership within the Association of American Universities (AAU).