Application Deadlines
Fall: Rolling admissions through Aug 1 (domestic & U.S-based international applicants)
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 is supported by faculty and coursework from the Department of Computer Science and the Department of Electrical and Computer Engineering. Together, these departments bring expertise in machine learning, robotics, computer vision, data analysis, signal and image processing, human-AI interaction, assistive technology, intelligent systems, and responsible AI.
Students benefit from an interdisciplinary engineering environment where AI is studied as both a technical field and a set of technologies with social, ethical, and real-world implications. The program 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 people, organizations, and society.
Hands-On Learning
Students gain practical experience through projects, co-ops, and internships. These opportunities help students apply AI algorithms and tools to real-world problems while building experience for future roles in industry, research, or advanced study.
Faculty Mentorship
Students learn from faculty and industry professionals working in areas such as AI-powered robotics, computer vision, machine learning, data analysis, decision-making, assistive technology, and human-AI interaction.
AI for Social Good
The Tufts Institute for Artificial Intelligence supports research and collaboration focused on the responsible use of AI in areas such as education, healthcare, ecological conservation, computing, business, and society.
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 relevant across machine learning, software systems, robotics, data science, research, automation, and advanced computing. According to the U.S. Bureau of Labor Statistics, computer and information research scientists had a median annual wage of $140,910 in May 2024. Employment in this occupation is projected to grow 20 percent from 2024 to 2034, much faster than the average for all occupations.
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 M.S. in Artificial Intelligence may have the opportunity to participate in the School of Engineering’s Graduate Cooperative Education Program. Through the co-op, eligible students can apply classroom learning to real-world engineering projects, gain up to six months of full-time professional experience, and build practical skills in AI, machine learning, data analysis, software development, robotics, or related technical areas.
Are Scholarships Available?
The School of Engineering offers partial tuition scholarships for a select group of Engineering master’s and certificate programs. 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.
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.
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.
How Do I Apply?
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.
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.
