Northeastern University
MS in Artificial Intelligence
Last reviewed June 2026 by the AI Graduate editorial team. Program data is compiled and verified from official university sources — see our methodology.
How this program compares
At an estimated $61.7K in total tuition, the MS in Artificial Intelligence sits about 44% above the $42.9K average for AI master's programs in our database — placing it in the 78th percentile on cost among the 394 we track at this level. It is one of the 54% of programs in our database offered fully or partly online.
Admission Snapshot
Typical admitted student: A bachelor's degree in computer science, engineering, or a related field with a minimum GPA of 3.0 is required, along with programming experience and coursework in probability, statistics, and algorithms.
About This Program
Northeastern's MS in Artificial Intelligence is known for its co-op model, embedding paid, full-time industry experience directly into the degree. The curriculum covers machine learning, NLP, robotics, and the ethics of AI, with a strong applied orientation.
For students who value hands-on experience and employer connections as much as coursework, Northeastern's co-op network is a distinctive advantage in the AI job market.
Why students choose it: Integrated co-op model delivers real paid AI work experience before you graduate.
Career Outcomes
Northeastern University positions this master track for AI Engineer careers — typical offers cluster around $120,000. Its focus on Computer Vision and Machine Learning maps directly to how employers screen for specialized skills rather than generic degrees. Federal projections for this occupational area point to roughly 23% growth this decade — verify the current figure on the BLS Occupational Outlook Handbook before you rely on it.
- 1. AI Engineer
- 2. Machine Learning Engineer
- 3. Computer Vision Specialist
- 4. AI Research Scientist
What You'll Learn
- Design and implement advanced machine learning algorithms for real-world applications.
- Develop computer vision and pattern recognition systems for image analysis.
- Apply natural language processing techniques to human-computer interaction.
- Analyze ethical implications and societal impacts of AI technologies.
Curriculum Highlights
The structure includes foundations of AI, algorithms, and concentrations in computer vision, machine learning, or robotics.
Top Employers
Top employers include Google, Amazon, Microsoft, and Meta.
Admissions
Admission to Northeastern University's MS in Artificial Intelligence generally expects a bachelor's degree. The GRE is optional here — a growing norm among AI programs — so applicants can often lead with coursework, projects and recommendations instead. Deadlines, testing policies and funding change year to year, so confirm the current requirements on the official program page before applying.
Application Materials
- Statement of Purpose: Required
- Letters of Recommendation: 2–3
- Resume: Required
- Transcripts: Official transcripts required
Frequently Asked Questions
Why choose Northeastern University's MS in Artificial Intelligence?
This interdisciplinary degree provides a comprehensive framework of foundational AI algorithms, theory, and practical implementation.
Is the MS in Artificial Intelligence at Northeastern University available online?
Yes — Northeastern University lists this program as on-campus, online, and it can be taken flexible, co-op. Confirm on-campus residency requirements, if any, on the official program page.
How much does the MS in Artificial Intelligence cost?
We estimate total tuition at roughly $61.7K, above the $42.9K average for comparable AI master's programs in our database. Tuition changes yearly and excludes fees and living costs, so treat this as a planning figure and confirm with Northeastern University.
Does the MS in Artificial Intelligence require the GRE?
No — Northeastern University does not require the GRE for this program, which is increasingly common among AI programs. A strong transcript, projects and recommendation letters carry more weight.
How long does the MS in Artificial Intelligence take to complete?
Most students finish in about 2 years for full-time enrollment. Accelerated or part-time tracks may change the timeline.
What jobs can you get with the MS in Artificial Intelligence?
Graduates commonly pursue roles such as AI Engineer, with reported pay around $120,000. Actual outcomes depend on your prior experience, portfolio and location — see our AI salary guide for current, source-cited ranges.
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Visit the official program page for the latest deadlines, tuition, and application requirements.