Master of Science in Artificial Intelligence

All students in the MS in AI complete foundational courses in mathematics, programming, artificial intelligence, machine learning, and ethics. You’ll then specialize through one of five concentrations, each emphasizing practical, industry-focused AI solutions and offering extensive hands-on experience.

Concentrations offered by Khoury College of Computer Sciences

• Robotics and Agent-Based Systems Master reinforcement learning, sensing, and more to build intelligent machines that make decisions in real-time—from disaster-response robots navigating rescue missions to surgical assistants.
• Machine Learning Design solutions for health, finance and beyond. Build models that predict hospital admissions or detect fraud. In advanced ML and natural language processing, you’ll learn to handle complex data and deploy ethical, resilient AI systems.

Concentrations offered by College of Engineering

• Energy Systems Modernize energy infrastructure and boost sustainability with AI, from optimizing consumption in smart buildings to managing electric vehicle charging. Select from courses like Renewable Energy Development and Scientific Machine Learning.
• Continuous Process Engineering Apply AI to industrial environments for reliability and productivity. Build models predicting failures and monitoring chemical plants. Modeling and Process Safety courses prepare you for pharma, chemical, and manufacturing.
• Computer Vision Create AI that reads images for healthcare, self-driving cars, and more. Develop tools to inspect products or detect environmental shifts by drone. Courses in Computer Vision and Data Visualization teach scalable visual data work.

• 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 and application fee

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

  • 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.)

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

• Recent professional resumé listing detailed position responsibilities

• Three letters of recommendation

• General GPA minimums: 3.0 on a 4.0 scale, 8.0 on a 10.0 scale, or 80 on a 100 scale

• Recommended TOEFL = 90 minimum or IELTS 6.5 minimum (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].

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 will declare their intended concentration, and their application will be reviewed by the college housing that concentration.

  • 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.