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 46% above the $42.4K average for AI master's programs in our database — placing it in the 78th percentile on cost among the 531 we track at this level.
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
Advance as AI Engineer in Cross-Industry AI with machine learning expertise
- 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
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.
Application Materials
- Statement of Purpose: Required
- Letters of Recommendation: 2–3
- Resume: Required
- Transcripts: Official transcripts required
Academic Requirements
- Degree Required: Bachelor's degree
- GRE/GMAT: Optional
- TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)
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