Master of Science in Artificial Intelligence
Master of Science in Artificial Intelligence
The Cutting-Edge of AI
The MS in Artificial Intelligence is a dynamic, interdisciplinary program that prepares students to lead innovation in the rapidly evolving AI landscape.
- Develop advanced skills in AI to design, develop, and maintain AI systems that change the world.
- Go beyond learning AI as a tool through real-world applications of industry-aligned concentrations: machine learning, robotics, agent-based systems, computer vision, energy systems, and continuous process engineering.
- Build experience and connections at an institutional leader in human-centric and responsible AI.
- Gain work experience through an optional full-time co-op or internship with a partner company or current employer.
This program is jointly offered by the College of Engineering and Khoury College of Computer Sciences.
Innovative Curriculum
The MS in Artificial Intelligence provides a comprehensive framework encompassing foundational algorithms, theory, and practical applications in the rapidly evolving field of AI. This program equips students with the essential knowledge and skills to design, develop, and implement AI systems across various high-demand sectors. The core curriculum is designed to provide in-depth understanding of fundamental AI concepts, forming a solid foundation for both theoretical and practical aspects of artificial intelligence.
Building on this strong foundation, students can delve into advanced AI applications through interdisciplinary concentrations tailored to industry needs. These concentrations include Computer Vision, Energy Systems, Continuous Process Engineering, Machine Learning (ML), and Robotics and Agent-based Systems.
- 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.
- Co-op and internship opportunities with partners like Amazon, Ford, Roche/Genentech, Goldman Sachs, U.S. Soccer Federation, and more.
- Develop skills to critically analyze how Artificial Intelligence will and has impacted humans.
- Design and create interactive interfaces that integrate AI while being beneficial to humans and respecting human values.
- Determine where AI can fail and human values could be violated.
- Describe often overlooked factors that impact AI and bring potential violation of human rights and can have a negative outlook on society.
- Justify where iteration in a machine learning pipeline is most important to respect human values.
- Understand the fundamental technical problems in Human-AI interaction, especially to respect human values.
Concentrations
Students select a concentration to map to their career goals. College of Engineering concentrations are described below and are offered at the Boston campus.
For information on concentrations in Machine Learning (ML), and Robotics and Agent-based Systems, visit Khoury College of Computer Sciences.
Students in the Computer Vision concentration will have the knowledge and skills to drive innovation at the intersection of new and emerging vision systems and AI. Students will be prepared to utilize AI and machine learning solutions for a wide range of applications, including image enhancement/restoration, object recognition, navigation, graphics rendering and pattern classification.
Students in the Energy Systems concentration will gain the knowledge and skills to drive innovation in sustainable and intelligent energy systems. Students will be prepared to utilize AI and machine learning solutions to support smart energy grid operations, to integrate renewable energy sources, and to create responsive and resilient systems.
Students in the Continuous Process Engineering concentration will have the knowledge and skills to revolutionize how industrial processes are designed, monitored, and optimized. Students will be prepared to utilize AI and machine learning solutions to enhance process efficiency, predictive maintenance, and real-time decision-making in industries such as chemicals, pharmaceuticals, and energy. Graduates will be prepared to integrate AI-driven solutions into continuous manufacturing environments to improve safety, sustainability, and productivity.
Experiential Learning
Prepare for a leadership role in AI through hands-on projects, research, and real-world challenges with corporate partners. Renowned for our cooperative education program, 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
As part of the co-op program, you have the opportunity to up to eight months of full-time AI professional experience with one of our industry partners or your current employer. Partnerships are offered with top tech companies, startups, nonprofits, and various companies across diverse industries. Some examples include partners like Amazon, Ford, Roche/Genentech, Goldman Sachs, U.S. Soccer Federation, and more.
Program Goals
Prepares professionals for leadership roles in this burgeoning sphere of the technological landscape, educating students in the creation and administration of AI systems that can reason and respond to complex realities—systems that will revolutionize the 21st century workplace through seamless integration of human and AI capabilities.
- According to the World Economic Forum (WEF), 86% of employers expect AI and information processing technologies to significantly impact their businesses by 2030 (WEF, 2025).
- A recent survey of IT executives found that while only 4% of organizations have begun to invest and deploy AI initiatives, 46% have plans to do so in the near future.
Academic Advising
We have a variety of advisors to help make your graduate career a success, so use the link below to determine which one will help you the best.
Admissions & Aid
Ready to take the next step? Review degree requirements to see courses needed to complete this degree. Then, explore ways to fund your education. Finally, review admissions information to see our deadlines and gather the materials you need to Apply.