School of Engineering Graduate STEM-designated
Master’s in Artificial Intelligence
MS Master of Science in Artificial Intelligence
Artificial Intelligence (AI) technology is advancing daily — becoming increasingly essential in fields ranging from business and computer science to engineering and more.
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Become a future-forward professional
Artificial Intelligence is changing the way we live, work, and compete. When you pursue your Master of Science (MS) in Artificial Intelligence at UB’s School of Engineering, you’ll gain the knowledge and skills necessary to achieve a cutting-edge, in-demand career at the crossroads of technology and innovation.
Any academic field
Welcomes learners from any academic field
UB’s program welcomes learners from any academic field with a bachelor’s degree, so you don’t need to have an engineering or computer science background to enroll.
Your first semester serves as a powerful onramp into the field, helping you build the foundational technical skills needed to thrive in the advanced world of AI.
The program
Master the technology of tomorrow
Whether you’re looking to launch or level up your tech career, our master’s in Artificial Intelligence program prepares you with skills needed to succeed.
UB’s Artificial Intelligence program was one of the first of its kind in the Northeast, and it remains one of the most robust. UB’s faculty are global leaders in their fields, frequently cited researchers, and innovators who bring real-world expertise and groundbreaking insights directly into the classroom.
International applicants
On-campus program
International students looking to study in the US must apply for our on-campus program.
In certain cases, the GRE can be waived based on previous academic performance.
University of Bridgeport School of Engineering
Choose your concentration
Four concentrations to choose from
Personalize your professional path — choose from concentrations in:
Design your own master’s in AI degree path
You’ll have the option to select one or more concentrations, enabling you to customize your master’s in Artificial Intelligence studies to fit your career goals and interests.
Talk to an advisorCybersecurity
Apply machine learning to the defensive problem: spotting the anomaly in a stream of ordinary-looking traffic, and building systems that keep working when part of them is under attack.
What you’ll work on
- Detection models that flag anomalies in network and log data
- Adversarial thinking: how models themselves get attacked and evaded
- Resilient system design, where failure is assumed rather than avoided
- The governance side: what you can and cannot automate in a security decision
Representative course themes
- AI for security operations and resilient systems
- Machine learning systems and responsible deployment
- Data handling at scale for security telemetry
Roles graduates target
Data Sciences and Data Analytics
The concentration for turning messy organizational data into a decision. Heavier on statistics, modeling, and communication than on model architecture, and the most portable of the four across industries.
What you’ll work on
- Predictive and forecasting models on real, imperfect datasets
- Feature engineering and the unglamorous work of data quality
- Experiment design, and how to know when a result is meaningful
- Communicating a model’s limits to people who will act on its output
Representative course themes
- Business intelligence and applied analytics
- Machine learning systems and responsible deployment
- Data engineering foundations for analytical work
Roles graduates target
Deep learning and computer vision
The deepest technical track. You work on the models themselves: how representations are learned, why architectures behave the way they do, and how a network moves from a research paper to something that runs.
What you’ll work on
- Neural network architectures and how representations are learned
- Image, video, and multimodal models end to end
- Training practicalities: data pipelines, compute limits, evaluation
- Reading current research and reproducing what it claims
Representative course themes
- Computer vision and representation learning
- Deep learning theory and practice
- Machine learning systems and responsible deployment
Roles graduates target
Robotics and Automation
Where AI meets a physical machine and a real-world tolerance. Sensing, control, and autonomy, with lab hardware you actually put your hands on in the RISC and IET labs.
What you’ll work on
- Intelligent sensing: fusing imperfect signals into a usable picture
- Control and motion planning for autonomous behavior
- Hands-on lab and makerspace builds, not simulation only
- Safety and failure modes when software moves mass
Representative course themes
- Robotics, control, and intelligent sensing laboratories
- Autonomous systems and automation
- Computer vision for perception
Roles graduates target
Program structure
Curriculum requirements
Our comprehensive curriculum, state-of-the-art facilities, and expert instruction will position you for in-demand careers in the field.
Credit hours
The master’s in Artificial Intelligence curriculum requires students to complete a total of 30 credit hours prior to graduation.
Specialization
Students may select one or more areas of specialization, in which case, the student will need to take at least three courses in each area(s) selected.
Course topics
Master’s in AI courses will address the increasing role of artificial intelligence in nearly all aspects of human life, including health care, medical diagnosis, new drug discovery, business intelligence, data analytics, customer behavior prediction, robotics in manufacturing and human assistance, autonomous vehicles, including drones and self-driving cars, and beyond.
Notice: Starting fall 2026, this program will have a 30-credit curriculum, ENGR 400 will NOT be required. Please contact Admissions for more information.
Academic catalogCourse catalog
Full plan of study
View all courses offered and read full course descriptions in our online course catalog system.
Core courses
2 courses
Core courses
Cyber Security
3 courses
Cyber Security
Data Sciences and Data Analytics
4 courses
Data Sciences and Data Analytics
Deep Learning and Computer Vision
3 courses
Deep Learning and Computer Vision
Robotics and Automation
4 courses
Robotics and Automation
MS project option – 9 courses required*
2 courses
MS project option – 9 courses required*
MS thesis option – 8 courses required*
1 course
MS thesis option – 8 courses required*
| Course Code | Course Title |
|---|---|
| CPSC 598 | Thesis in Computer Science |
* Required courses may be selected from one or more areas of specialization, in which case the student must complete at least three courses within the chosen area.
** To be split over two semesters with 3 credits in each semester
Facilities
Labs you will work in
You’ll have access to the innovative resources necessary to immerse yourself in the field, including our:
Robotics, Intelligent Sensing and Control Laboratory
Students in UB’s MS in Artificial Intelligence program benefit from access to innovative research facilities like the Interdisciplinary Robotics, Intelligent Sensing, and Control (RISC) Laboratory and the Intelligent and Emerging Technologies (IET) Lab.
Intelligent and Emerging Technologies Lab
Students benefit from state-of-the-art computing resources you can’t find at any other University in the region — including UB’s on-campus data center equipped with NVIDIA H200 GPUs and our brand new, cutting-edge Interdisciplinary Emergent Technologies (IET) Lab.
Engineering interdisciplinary makerspace
3D manufacturing facility for robotic manipulators, autonomous robots and sensory interpreters, engineering interdisciplinary makerspace, technology laboratories, and unmanned aerial vehicles and drones.
Career outcomes
Success at every career stage
Our MS in Artificial Intelligence program is designed for professionals at every stage of their career:
Stem and OPT
The MS degrees offered by the School of Engineering at University of Bridgeport are classified by ICE (US Immigration and Customs Enforcement) as STEM (Science, Technology, Engineering and Math) degrees. Therefore, all International Students who earn an MS degree are eligible for twelve (12) months of OPT (Optional Practical Training) and at the end of the twelve months of OPT, the student and the company the student works for, can apply for an extension of twenty-four (24) additional months of work, as long as the company is an E-verify company.
Recognition
Ranked among the best on-campus master’s programs in AI
Did you know? UB’s MS in AI program was the first Artificial Intelligence master’s degree program in Connecticut!
* TechGuide, 2025
Student voices
Graduates, in their own words
“During this time, I successfully completed my master’s degree in Artificial Intelligence and gained a deeper understanding of my field of study. The past two years of academic and personal growth have made me more confident and courageous.”
“I am deeply grateful for the immense support I received both personally and professionally from the University of Bridgeport (UB). Entering the program, I found myself with limited knowledge of computer science, programming languages, and web development. (…) I expressed my concerns and limitations to my coordinator, Professor Mahmood, who played an instrumental role in crafting a tailored roadmap for my academic and professional growth.”
Getting in
Admission requirements and deadlines
Master’s in Artificial Intelligence Requirements for Admission
What you need
- Bachelor’s degree from an accredited university or recognized international institution
- Recommended cumulative undergraduate GPA of 2.90 or higher
- The online application
- Official transcript for the last degree earned
- To be considered for a scholarship and prerequisite waivers, you must submit transcripts from each institution attended
- GRE: In certain cases, the GRE can be waived based on previous academic performance. After submitting your application and all other required documents, you may be admitted without the GRE or our admissions staff will contact you if the GRE is required for a decision.
- International applicants: Please consult our international admission requirements for further information.
Deadlines and entry terms
Common questions
Frequently asked questions
UB’s program welcomes learners from any academic field with a bachelor’s degree, so you don’t need to have an engineering or computer science background to enroll.
In certain cases, the GRE can be waived based on previous academic performance. After submitting your application and all other required documents, you may be admitted without the GRE or our admissions staff will contact you if the GRE is required for a decision.
The master’s in Artificial Intelligence curriculum requires students to complete a total of 30 credit hours prior to graduation.
In summary, a master’s in AI graduate with an MS degree can work under OPT in the USA for a total of thirty-six (36) months.
Students may select one or more areas of specialization, in which case, the student will need to take at least three courses in each area(s) selected.
International students looking to study in the US must apply for our on-campus program.
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