With a long-standing commitment to social good, Tufts University faculty and students work together to examine the technical, social, and ethical contexts in which artificial intelligence is deployed. Students receive mentorship from faculty and industry professionals who are internationally recognized leaders in AI-powered robotics, machine learning, assistive technology, and more. From nutrition science and media studies to education and engineering, Tufts Institute for Artificial Intelligence explores how to best leverage this emerging technology to benefit us all.
Master's Programs
Graduate students gain deep knowledge, real-world experience, and the professional resources to achieve their goals. Our programs combine the academic excellence of a top-rated research university with a collaborative spirit and commitment to interdisciplinary study.
You’ll work closely with faculty and peers to explore the most pressing issues of your field, make lasting connections, and build a valuable network while studying in, and around, Boston.
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The Master's of Science in Artificial Intelligence (MSAI) offers two tracks designed to help students become experts within the field. Coursework balances the theoretical underpinnings of AI with the practical skills, ethics, and societal impacts of the technology on our world today. The program includes a core curriculum and department-specific tracks. Integrate AI-powered discoveries within domains like engineering, medicine, education, robotics, business, and governance.
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Become an expert in decoding data to make impactful decisions across a wide range of industries. The MS in Data Analytics offered by the Graduate School of Arts and Sciences is designed to develop flexible leaders with advanced data skills. Students will apply in-depth knowledge of AI, statistics, probability, and data analytics across a broad range of fields. Most students finish their master’s program in two years, but it can be completed in one year with accelerated study. Full- and part-time options are available.
Learn about the MS in Data Analytics
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The MA in Digital Tools for Premodern Studies is designed for students wishing to gain a deeper knowledge of the humanities and apply computational methods in their research and teaching. Students study the creation, transmission, preservation, and transformation of knowledge across time and culture from Antiquity to the Renaissance and the early modern period using computerized techniques.
Learn about the MA in Digital Tools for Premodern Studies
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The Data Analytics and AI in Nutrition MS program specialization offers graduate coursework focused on statistical analysis, regression modeling, and data management in the health and nutrition fields. At the Gerald J. and Dorothy R. Friedman School of Nutrition Science and Policy, students will develop practical skills in using R/RStudio, STATA, and SAS for data exploration, statistical testing, and complex data workflows, while also learning to create high-quality data visualizations and apply AI-based tools ethically in research.
Two Modalities:
- On Campus MS, with a specialization in Data Analytics / AI in Nutrition that students can combine with another existing specialization or can combine it by building their own co-specialization with an advisor.
- Online MS, with a specialization in Data Analytics / AI in Nutrition
Featured Courses:
- NUTR ON 390: Introduction to AI-Based Applications for Nutrition and Health Research
- NUTR 394: Advanced Data Analysis
- NUTR 393: Data Visualization and Effective Communication
- In Development: Ethical Use of Data Analytics and AI
Learn about the MS in Nutrition - Data Analytics and AI
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The Fifth-Year Master's Degree program allows Tufts undergraduates to earn a master's degree with the School of Engineering or the Graduate School of Arts and Sciences after completing their bachelor's degree.
Related programs include:
Learn about the Fifth-Year Master's Degree Program
Majors for Undergraduates
Although Tufts University does not currently offer a bachelor's degree in Artificial Intelligence, undergraduate students have multiple pathways to gain experience in the field. Through interdisciplinary coursework in related disciplines, students can build a strong foundation in AI principles and applications.
We encourage students to explore the departments listed below, each of which focuses on a key sub-domain of AI development.
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The Department of Computer Science at Tufts University provides an open, friendly, diverse, and collaborative atmosphere in which to study computer science. Students personalize their path of study through interdisciplinary learning, research collaboration and access to professors both in small classes and out of class.
BA or BS in Computer Science (Focus Area: Artificial Intelligence)
BA or BS in Computer Science (Focus Area: Human-Robot Interaction)
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The Department of Electrical and Computer Engineering prepares students for professional practice, advanced research, active citizenship, and lifelong learning. Students learn the principles of electrical and computer engineering, master engineering methods to solve challenging problems, and develop the leadership skills necessary to relate these solutions to communities.
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The Department of Mathematics prepares undergraduate and graduate students to ask and answer mathematical-based questions about insights and methods in a broad variety of mathematical areas. Students also gain an understanding of the role of hypotheses, conclusions, counter examples and other forms of mathematical evidence in the development and formulation of mathematical ideas.
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Mechanical engineering is a rich and versatile profession that combines invention, analysis, and the manufacture of mechanical components and systems. This sector of engineering spans well-established industries such as automotive, aerospace, shipping, power, heating and cooling, and machinery, as well as the new and emerging fields of robotics, micro- and nano-devices, and medical devices.
Courses in AI
Tufts University offers AI-focused courses designed to serve learners at every stage of their academic and professional journey. These include undergraduate and graduate courses that explore the technical foundations and societal implications of AI, pre-college courses that introduce high school students to university-level learning, and continuing education options tailored for adult learners and industry professionals.
We invite you to explore the course listings below to find the path that fits your interests and goals.
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The impact of artificial intelligence is broad and multifaceted. Tufts University offers students the opportunity to explore both the scientific and mathematical foundations of AI, as well as its ethical, societal, and sociological implications, fostering a well-rounded understanding of the technology and its influence on society. From mathematics and policymaking to digital art and film studies, students are encouraged to investigate how AI intersects with their individual interests and academic pursuits.
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Pre-College Courses at Tufts offer unique academic experiences tailored to the interests and ambitions of high schoolers. Drawing from the university's renowned curriculum, students are immersed in a learning environment that prepares them for academic success and personal growth.
View Pre-College Course Listings
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Tufts University College offers flexible scheduling options and a curriculum grounded in real-world applications. Our range of courses is designed to meet the needs of adult learners and industry professionals—whether they are looking to enhance their skills for career advancement or explore subjects of personal interest.
View Continuing Education Course Listings