Students in the M.S. in Applied AI for Food and Nutrition build complementary expertise in artificial intelligence and nutrition science. The program explores how AI systems work, how they are developed and evaluated, and how to assess their strengths and limitations. Coursework in nutrition science provides the foundation to understand evidence and apply AI appropriately to questions involving food, nutrition, and health. Students can then put that knowledge into practice through hands-on projects, internships, or partnerships addressing real-world challenges in food and nutrition.
Areas of emphasis include:
The M.S. in Applied AI for Food and Nutrition is a joint master's degree, meaning you’ll combine the technical rigor of the School of Engineering with the food, nutrition, and health expertise of the Friedman School of Nutrition Science and Policy.
You’ll benefit from faculty, career resources, professional networks, and alumni communities across both schools—helping you build the interdisciplinary skills needed to connect AI with real-world challenges in food, nutrition, and health.
We created this program because the future of food and nutrition will require a new kind of expertise: professionals who understand both AI and nutrition and can apply those fields together to solve real-world challenges. As AI becomes increasingly integrated into research, healthcare, and industry, those who can bridge technology and nutrition will be uniquely positioned to promote responsible and ethical use of AI and create meaningful impact for people and organizations.
Develop the technical and communication skills needed to connect AI with food, nutrition, and health. Gain the skills to work effectively across teams.
Examine risk, uncertainty, bias, privacy, ethics, and governance so you can evaluate AI critically and help organizations use emerging technologies responsibly.
Apply what you learn through hands-on projects, internships, and collaborations focused on real-world challenges in food and nutrition.
Access career advising, professional development, networking opportunities, and other career resources available through both the School of Engineering and the Friedman School.
Graduates can build careers at the intersection of AI and nutrition, applying their skills across healthcare, food systems, public health, biotechnology, consumer health, and related fields. Potential domains include Data Science and AI, Health & Public Health Informatics, and Food Innovation and Product Development.
Apply AI, machine learning, and analytics to uncover insights and help solve challenges across health, nutrition, food systems, and business. Career paths may include:
Bring AI and data expertise to healthcare and public health, helping organizations improve decision-making, population health, and nutrition outcomes. Career paths may include:
Combine AI, data, and nutrition expertise to drive innovation across food, biotechnology, consumer health, and nutrition-focused organizations. Career paths may include:
No. Students can come from a wide range of academic and professional backgrounds, including nutrition, health, food systems, public health, business, and analytics. Programming experience can be helpful, but it isn’t required. You’ll learn tools such as Python as part of the program, with resources available to help you prepare if coding is new to you.
Yes. Scholarships and financial aid are available to eligible students. When you apply for admission, you’ll automatically be considered, there’s no separate scholarship application or additional information required. Applicants are encouraged to apply early for priority scholarship consideration.
Yes. The program was designed with working professionals in mind. The program is offered part-time and 100% online, giving you the flexibility to balance your studies with work and life.
Applicants can apply online through Tufts Graduate Admissions Portal. Required materials typically include transcripts, a resume or CV, letters of recommendation, and a statement of purpose. International applicants may also need to submit English proficiency documentation. Visit the admissions page for current deadlines and application requirements.
At Tufts University, we believe every qualified applicant deserves the opportunity to pursue graduate study. We are dedicated to helping you understand your financial options and to ensuring that graduate education at Tufts is both accessible and within reach.
Tuition costs for this graduate program are billed at a per credit rate:
| Estimated Tuition for MS Program | |
|---|---|
| Tuition* | $1,855 per credit |
| Total Credits Required | 30 |
| Enrollment Status | Full-Time: 3-4 courses per semester (9-12 credits) Part-Time: 1-2 courses per semester (3-6 credits) |
| Estimated Tuition per Semester | Full-Time: $16,695 - $22,260 per semester (9-12 credits) Part-Time: $5,565 - $11,130 per semester (3-6 credits) |
| Estimated Total Tuition* | $55,650 |
*Estimated based on 2026-2027 tuition rates. Rates are subject to change each academic year. For further information about the full cost of attendance, including additional fees and estimated indirect costs (housing, transportation, etc.), please visit Student Financial Services.
The Tufts University School of Engineering offers partial, merit-based tuition scholarships for the majority of our graduate and certificate programs. All applicants are automatically considered for these awards as part of our holistic admissions review process—no separate scholarship application or additional materials are required.
Additional funding opportunities may include Tufts Double Jumbo Scholarships for Tufts graduates, Bridge Program Scholarships for students and alumni from select partner institutions, and veteran and military education benefits for eligible service members and their dependents, including participation in the Yellow Ribbon Program.
To further support your investment in a Tufts graduate education, a range of financing options are available, including federal and private student loans. For more details, please visit our Graduate Financial Aid page.