MS in Artificial Intelligence
The MS in Artificial Intelligence provides a comprehensive framework of foundational algorithms, theory, and practice in the emerging field of AI, equipping you with the knowledge you’ll need to explore, design, and implement AI systems. Specialize in computer vision, natural language processing, robotics, intelligent interaction, machine learning, or knowledge management as you pursue a holistic and interdisciplinary course of study incorporating data science, machine learning, deep learning, and robotics.
Program highlights
Locations
Boston, Portland (admit term varies by location)
Credit hours
32 total semester hours required
Schedule
Core courses: Fall, Spring, Summer
Program modality
In person
Take your career to the next level
Career prospects: A wealth of opportunities
Our graduates find success in a wide range of careers, including:
- Data scientist
- AI programmer
- Natural language processing developer
- Computer vision developer
- Machine intelligence engineer
- QA automation engineer
Co-ops and internships: Rated #1
Through our co-op program, ranked #1 in the country by U.S. News & World Report, you’ll have opportunities to apply your skills and knowledge in industry settings while you build valuable professional connections. Some recent co-op and internship positions include:
- Computational biology co-op
- AI technology and automation engineering co-op
- AI and data science development intern
- Generative AI product development co-op
- Research data analyst intern
Research opportunities: Pursue your passion
You’ll collaborate with leading researchers at top-tier facilities, exploring big questions and playing an important role in the discoveries of tomorrow. Whether you’re interested in a research career, applying to PhD programs, or simply building your expertise through hands-on experience, our diverse range of research projects will give you opportunities to make meaningful contributions.
Learning outcomes
The MS in Artificial Intelligence will prepare you to:
- Understand representations, algorithms, and techniques used across the AI industry and academia and be able to apply and evaluate them in applications as well as develop your own.
- Understand the basic processes that an agent must perform, from perceiving its environment, making decisions on how to act and performing those actions, as well be able to develop and evaluate the technology that can be used to perform these processes.
- Understand and apply machine learning techniques to draw inferences from data and help automate the development of AI systems and components.
- Understand the various ways and reasons humans are integrated into mixed human-AI environments, whether it is to improve overall integrated system performance, improve AI performance, or influence human performance and learning.
- Understand the ethical concerns in developing responsible AI technologies.
- Model human behavior, develop human-AI systems, and evaluate their performance.
- Demonstrate knowledge of the use of AI algorithms and processes in one of the specialization areas: robotics and agent-based systems, vision, intelligent interaction, machine learning, and knowledge representation and reasoning.
Campus locations
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Boston
Located in the heart of Boston, Northeastern’s oldest campus is home to a vibrant community of students, researchers, and faculty working across disciplines to build a better world through CS.
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Portland
The collaborative nature of Northeastern’s Roux Institute in Portland connects students with corporate and governmental power players across the Northeast, and beyond.
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Silicon Valley
Located in the heart of the tech revolution (and where it began), the San Jose campus offers students the opportunities to advance the CS field in a program known for industry connections and diverse work opportunities.
Applications and admissions
How to apply
Our Master’s Apply page has everything you need to know about applying to the MS in Artificial Intelligence program at Khoury College, including:
- Master’s admissions requirements
- Program specific admissions requirements
- Timelines and deadlines
- Resources and contact information
Financial support
Pursuing a master’s degree is a significant investment in your future. Northeastern University and Khoury College of Computer Sciences are here to help support you in this process. From financial aid to scholarship opportunities to co-op placements and teaching assistantships, there are multiple options to help fund your degree as you work towards your goals.
Degree costs
Visit Student Financial Services for current tuition and fee information, and to find tools and calculators to help you estimate what your degree (32 credit hours) will cost.
Deadlines
Domestic
Fall semester: August 1
Spring semester: December 1
International
Fall semester: April 15
Spring semester: September 15
Meet our faculty
Get to know the engaged, experienced professors who are here to support you every step of the way.
Ehsan Elhamifar
Ehsan Elhamifar is an associate professor at Khoury College, affiliated with the College of Engineering. The overarching goal of his research is to develop AI that learns from and makes inferences about visual data analogous to humans.
No tech background? Check out the Align program
If you don’t have a background in computer science, then the Align MS in Computer Science might be for you. This program offers a direct path to a master’s degree — no prior tech experience required.
Institutes and Centers
Where engaged students, expert faculty, experienced research scientists, and industry and government partners work together to solve big challenges.
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Have questions?
Find answers in our FAQ, or complete this form to learn more about the MS in Artificial Intelligence program. One of our enrollment counselors will contact you soon.