Application Deadlines
Fall: May 15 (extended deadline)
Spring: Sep 15
Summer: n/a
Contact
gradadmissions@tufts.edu
Location
Medford/Somerville
Format
On-campusCommitment Options
Full-timePart-time
Average Duration
18 - 24 months
Credits
30
What Will You Study?
Students in the M.S. in Artificial Intelligence study the foundations, applications, and social contexts of AI. The curriculum combines theory with practical skills, enabling students to develop, evaluate, and deploy AI technologies responsibly. The program includes a core curriculum and department-specific tracks in Computer Science and Electrical and Computer Engineering.
Coursework covers core concepts in:
- Artificial Intelligence
- Mathematics for AI
- Machine Learning
- AI Ethics
- Deep Learning
- Data Analysis
- Natural Language Processing
- Decision-making
- Computer Vision
- Robotics
- Knowledge Representation
- Assistive Technology
Choose Your AI Track
The M.S. in Artificial Intelligence includes a core curriculum and department-specific tracks in Computer Science and Electrical and Computer Engineering.
MSAI – Computer Science Track
The MSAI – Computer Science track focuses on the principles and applications of machine learning and artificial intelligence from a computational perspective. Students examine how AI technologies are developed and implemented while also considering the broader social contexts in which these technologies operate.
This track is a strong fit for students interested in areas such as machine learning, AI systems, algorithms, software, data-driven applications, natural language processing, computer vision, and responsible AI development.
MSAI – Electrical and Computer Engineering Track
The MSAI – Electrical and Computer Engineering track integrates machine learning and artificial intelligence with specialized engineering domain knowledge. Students study both fundamental and systems-level concepts in AI and learn how to apply these methods across diverse engineering domains.
This track is a strong fit for students interested in AI systems, signal and image processing, robotics, hardware-adjacent AI applications, intelligent systems, and engineering-driven AI deployment.
Technical Depth with Responsible Innovation
Students build a strong foundation in artificial intelligence, machine learning, ethics, and mathematics while learning to think critically about how AI technologies affect society.
Hands-On Learning
Students gain hands-on experience through projects, co-ops, and internships. These opportunities help students apply AI algorithms and tools to real-world problems while building practical experience for future careers.
Faculty Mentorship
Students work closely with faculty and industry professionals who are recognized leaders in AI-powered robotics, computer vision, machine learning, data analysis, decision-making, assistive technology, and related fields.
AI for Social Good
Tufts Institute for Artificial Intelligence (TIAI) is dedicated to pursuing research that has a profound, positive impact on education, healthcare, ecological conservation, computing, business and more.
Flexible Enrollment
The program offers both full-time and part-time commitment options, allowing students to pursue graduate study in a way that fits their academic and professional goals.
A Tufts Engineering Education
At Tufts, students benefit from a rigorous engineering education in an interdisciplinary environment that combines the resources of a major research university with the strengths of a top-ranked liberal arts college.
What Can You Do With a Master's In Artificial Intelligence?
Graduates of the M.S. in Artificial Intelligence are prepared to understand, implement, and deploy AI technologies across disciplines. The program prepares students for careers in industry, science, applied AI development, and advanced research. Students graduate with technical expertise in AI and machine learning, practical experience applying AI tools and algorithms, and an understanding of the ethical and social contexts that shape responsible AI development.
Graduates may pursue career paths in areas such as:
- Artificial intelligence
- Robotics
- Machine learning engineering
- Human-AI interaction
- Data science
- AI research and development
- Computer vision
- Applied engineering
- Natural language processing
- Doctoral study
What is the Career Outlook?
Artificial intelligence skills are increasingly relevant across technology, engineering, research, healthcare, robotics, data science, and applied computing. Graduates with advanced AI training may pursue roles that involve designing, implementing, evaluating, and deploying machine learning and AI-enabled systems.
Average Salary: $106,386
Tufts University Alumni: 125,000+ worldwide
*Source: Average salary statistic is derived from recent AI Engineering job listings submitted to ziprecruiter.com.
Can AI Master’s Students Complete a Co-op?
Students in the School of Engineering may have the opportunity to participate in the Graduate Cooperative Education Program. The co-op program allows graduate students to apply classroom learning to real-world engineering projects, gain up to six months of full-time work experience, build their resumes, and strengthen their preparation for post-graduation employment.
- Connect AI coursework to practical experience in industry, research, and applied engineering settings.
- Clarify short- and long-term personal, educational, and career goals.
- Build a network of engineering employers, practitioners, and entrepreneurs.
- Stand out in the post-graduation job market as a collaborative problem-solver, effective communicator, and ethical engineer.
Are scholarships available?
Some School of Engineering master's and certificate programs offer scholarships to qualified students. To receive full consideration, be sure to complete your application before the submission deadline. Contact the Office of Graduate Admissions at gradadmissions@tufts.edu for more information.
Is the GRE required?
GRE General Test scores are not required for applicants who will have received a degree from an institution located in the U.S. or Canada by the time of enrollment. GRE scores are required for all other applicants.
What is the difference between the CS track and the ECE track?
The Computer Science track focuses on artificial intelligence and machine learning from a computational perspective, with attention to the broader social context of AI technologies. The Electrical and Computer Engineering track integrates AI and machine learning with specialized engineering domain knowledge and systems-level applications.
Can I participate in a co-op?
Students in the School of Engineering may have the opportunity to participate in the Graduate Cooperative Education Program, which provides up to six months of full-time work experience on real-world engineering projects.
Do we host information sessions and campus tours?
Yes, we encourage you to attend a virtual or in-person information session and campus tour hosted by the Office of Graduate Admissions. Visit go.tufts.edu/gradevents for the event schedule and previously recorded videos.
How do I apply?
The online application is required to apply to our graduate degree and certificate programs in the School of Engineering at Tufts University. Those interested in the program should start their application at gradase.admissions.tufts.edu/apply.
Tuition & Financial Aid
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* | $1,799 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: $16,191 - $21,588 per semester (9-12 credits) Part-Time: $5,397 - $10,794 per semester (3-6 credits) |
| Estimated Total Tuition* | $53,970 |
*Estimated based on 2025-2026 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.
