Master of Science in Artificial Intelligence

Specialize in one of eight industry-aligned concentrations:

Khoury College of Computer Sciences

• Machine learning: Gain hands-on experience developing and applying advanced machine learning models to solve real-world problems across industries.
• Robotics and agent-based systems: Develop intelligent robots and autonomous agents, focusing on automation, interaction, and smart system design.

College of Engineering

• Computer vision: Apply AI and ML to advanced visual tasks, including image restoration, rendering, navigation, and pattern classification.
• Energy systems: Apply AI and ML to optimize energy grids, integrate renewable sources, and create smart, sustainable, and resilient systems.
• Continuous process engineering: Use AI and ML to enhance efficiency, predictive maintenance, and real-time decisions in industries like chemicals, pharmaceuticals, and energy.
• Bioengineering: Apply AI and ML to biological systems, medical diagnostics, drug discovery, and personalized medicine to develop innovative healthcare solutions and medical interventions.
• Sustainability for infrastructure and environment: Use AI and ML to optimize critical infrastructure, create resilient climate-adaptive systems, and advance sustainable material management in built and natural environments.

Bouvé College of Health Sciences

• Health data: Apply AI and ML to real-world health challenges, working with clinical, public health, and wellness data to build equitable and responsible health technologies.

• Full-time paid co-op or internship opportunities with partners like Amazon, Ford, Roche/Genentech, Goldman Sachs, U.S. Soccer Federation, and more
• Access to world-class research facilities and network—including the Institute for Experiential AI, AI Ethics Advisory Board, World Economic Forum’s Global AI Action Alliance, and more—through Northeastern’s R1 status
• Deep expertise in technical, interdisciplinary, and ethical dimensions of AI
• Clear career paths for AI specialists, developers, researchers, and PhD candidates
• Flexible options with a strong foundation in computer science and mathematics for those with more contextual experience who need to strengthen their foundational technical knowledge and skills

Prepare for a leadership role in AI through hands-on projects, research, and real-world challenges with corporate partners. Renowned for our co-ops and internships, Northeastern offers a fully experiential approach to AI that emphasizes collaboration between humans and machines.

Develop solutions to real-world problems, such as:

• Speech impairment
• Climate vulnerability
• Disease outbreaks in healthcare
• Biases in financial services and fintech
• AI’s ethical use in cybersecurity

Include four to eight months of full-time paid AI work through co-ops or internships with one of our industry partners or your current employer. We offer partnerships with top tech companies, startups, nonprofits, and various companies across diverse industries.

Applicants must submit the online application and all required admission materials no later than the stated deadlines to be considered for admission. Admissions decisions are made on a rolling basis.

• Online application

• PDF or scanned copies of unofficial undergraduate transcripts; you can submit official transcripts from colleges/universities attended at the time of admission

• Statement of purpose that should include career goals and expected outcomes and benefits from the program

• Resume

• Letters of recommendation*

• English proficiency requirements for international students*

  • The Foreign Credential Evaluation (FCE) is a required assessment of all transcripts and documents from non-U.S. accredited post-secondary education institutions. (Review the FCE requirements by country.)

  • Recommended TOEFL iBT score of 4.5 examination score (international students only)

• GRE waiver*

  • Applicants are eligible to be considered for a GRE waiver if they have 10 or more years of relevant work experience. To apply for a GRE waiver, applicants may email their resumé to [email protected].

*Requirements may vary between concentrations for this program.

Additional admissions requirements:

• Some programming experience

  • Applicants must have experience writing code in a high-level programming language (coding classes in undergrad or equivalent work experience as a programmer, software engineer, etc.).

• Math background

  • Applicants must have at least one year of linear algebra (or discrete math, advanced calculus, etc.) and/or at least one year of high-level statistics.

• Applicants need to meet the admissions requirements of the college to which they are admitted.

  • Applicants to all concentrations should demonstrate foundational mastery of quantitative reasoning and should have completed STEM coursework related to the degree.

  • Applicants considering the machine learning and robotics and autonomous systems concentrations within Khoury will need to demonstrate proficiency in programming.

  • Applicants to the computer vision, energy systems, or continuous process engineering concentrations within the College of Engineering must demonstrate prior experience in the desired concentration area to be considered for enrollment.