Dartmouth Engineering offers an Artificial Intelligence track within its Master of Engineering (MEng) for students who want advanced technical training in machine learning, reinforcement learning, causality, and related AI methods.
The program is offered on campus in Hanover, New Hampshire. Full-time students can complete the MEng in as little as nine months across three academic terms. The degree is course-based and does not require a thesis.
Dartmouth’s AI track is a strong fit for this site because machine learning is central to the curriculum rather than a minor elective area. Students choose seven core courses from a list that includes machine learning, reinforcement learning, causality, and mathematical foundations for machine learning.
Quick Facts
| Degree | Master of Engineering (MEng), Artificial Intelligence track |
| School | Thayer School of Engineering at Dartmouth |
| Location | Hanover, New Hampshire |
| Format | On campus |
| Program Requirements | 9 graduate courses |
| Program Length | As little as 9 months full time |
| 2026–27 Tuition | $71,697 for 3 terms |
| GRE | Optional |
| Thesis | No |
| Project Requirement | Yes, one course must include an approved term project or product |
Program Overview
Dartmouth’s MEng is a professional engineering master’s degree built around advanced coursework rather than a thesis. Students can choose from several on-campus tracks, including the Artificial Intelligence track introduced for the 2026 academic year.
The AI track focuses on both the technical foundations of artificial intelligence and the decisions involved in applying AI systems. Dartmouth describes the program as preparation for engineers who want to understand where AI should be used, assess different technical approaches, anticipate broader impacts, and create new AI solutions.
The degree requires nine graduate courses. Seven courses must come from the approved AI core, while the remaining two can be graduate-level engineering or science electives at Dartmouth.
Visit Dartmouth Engineering’s MEng Artificial Intelligence track page.
Machine Learning and AI Curriculum
The Artificial Intelligence track requires students to select seven core courses from Dartmouth’s approved AI course list. This structure gives the program a direct connection to machine learning and modern AI methods.
AI Core Course Options
- Math for Machine Learning
- Principles of Reinforcement Learning
- Game-theoretic Design, Learning, and Engineering
- Principles of Causality
- Principles of Machine Learning
- Applied Machine Learning
Dartmouth lists additional approved AI courses beyond these examples, and students work with a faculty advisor to build a program plan that satisfies the track requirements.
One of the nine courses must include a term project or product that allows Dartmouth to assess the MEng learning outcomes. The project can be completed within either a core course or an elective that meets the requirement.
Program Format and Length
The Artificial Intelligence track is part of Dartmouth’s on-campus MEng program. It should not be confused with Dartmouth’s separate fully online MEng in Computer Engineering.
Full-time on-campus MEng students can complete the degree in three terms, or about nine months, by taking three courses per term. Students can also study part time and complete the program over a longer period.
Dartmouth states that the MEng must be completed within six years of initial enrollment. The program is primarily designed around a fall start, although winter and spring admission may be available on a rolling basis.
Review Dartmouth Engineering’s full MEng program information.
Tuition and Cost
For the 2026–27 academic year, Dartmouth Engineering lists tuition for the three-term on-campus MEng at $71,697.
That figure covers base tuition for the standard three-term program. Dartmouth also lists required fees and estimated costs for housing, food, books, transportation, health insurance, and personal expenses, so the full cost of attendance is higher than tuition alone.
Dartmouth Engineering states that eligible full-time MEng students may apply for need-based aid that can cover up to 40% of tuition. Students must request financial aid during the application process.
View Dartmouth Engineering’s current tuition and cost of attendance.
Admissions
Applicants to the on-campus MEng generally need a bachelor’s degree in engineering or a related scientific field such as computer science, physics, or chemistry.
Dartmouth lists the GRE as optional for its engineering graduate programs. Applicants who choose to submit GRE scores can initially self-report them and provide official scores if admitted.
For fall admission, Dartmouth lists a December 15 priority deadline and a February 15 second-round deadline. Applications may continue to be accepted after February 15 on a rolling basis when space is available.
Review Dartmouth Engineering’s current MEng admissions requirements and deadlines.
What Makes Dartmouth’s AI MEng Different?
Direct Machine Learning Coursework
The AI concentration includes several courses devoted directly to machine learning. Students can study mathematical foundations, core machine learning methods, reinforcement learning, causality, and applied machine learning within the same degree track.
Nine-Month Full-Time Option
Dartmouth’s three-term structure makes the MEng shorter than many two-year master’s programs. A student taking three courses per term can finish in about nine months.
Professional Rather Than Thesis-Based
The MEng is built for professional technical practice. Students complete advanced coursework and a project requirement, but they do not need to complete a master’s thesis.
Flexible Electives
Two of the nine courses can be graduate-level engineering or science electives, giving students room to add depth in a related technical area.
Is Dartmouth’s MEng in Artificial Intelligence Worth Considering?
Dartmouth’s Artificial Intelligence MEng track is one of the stronger fits for students who want a short, technically focused graduate degree with substantial machine learning coursework.
The curriculum is the main reason to consider it. Machine learning appears throughout the track through foundational mathematics, core ML, reinforcement learning, causality, and applied machine learning rather than appearing as a single course within a broad engineering degree.
The nine-month full-time structure is another advantage for students who want to return to industry quickly. The main tradeoffs are cost and format: tuition is high, and the AI track is an on-campus program rather than an online master’s degree.
Who Is This Program Best For?
Best for: Students with a strong STEM background who want an intensive, on-campus professional master’s degree centered on AI and machine learning.
Consider another program if: You need a fully online AI degree, want a thesis-centered research master’s, or want a lower-cost public university option.
Related Machine Learning Programs
Students comparing Dartmouth with other programs can also review machine learning master’s programs in New Hampshire.