Master of Science In Artificial Intelligence

Lead the Next Wave of Innovation in AI at the University of New Haven

Offered both online and on-ground, our Master of Science degree in artificial intelligence (MSAI) prepared students to emerge with advanced technical depth, ethical perspective, and leadership skills that position them as innovators in the AI landscape.

Graduates of the MSAI program will be ready to lead in one of the world’s fastest-growing fields—designing, deploying, and managing AI systems that define the next era of technological innovation.

Program Highlights

Build Your Portfolio, Course by Course

Our comprehensive 33-credit curriculum balances foundational AI theory with applied engineering and real-world deployment. Each course produces portfolio-ready projects you can showcase to employers, from intelligent search agents and computer vision applications to custom AI tools powered by Large Language Models (LLMs). With immediate access to hands-on development environments, you will begin creating AI solutions from your very first class.

Focusing on Responsible AI, our artificial intelligence graduate program integrates ethics, bias mitigation, security, and privacy into the coursework. Internship and capstone opportunities with industry partners provide real-world experience, ensuring that graduates of our master’s degree in artificial intelligence are better than ready to tackle complex challenges in the AI landscape.

Innovation, Leadership, and Responsible AI

The program is built to develop innovators and leaders in the AI domain. You will gain not only technical mastery but also the ability to engineer solutions that address complex organizational and societal challenges. Topics such as bias detection, privacy-preserving techniques, and AI security are included to ensure that you are prepared to design systems that are both powerful and trustworthy. Graduates of the MSAI program emerge ready to pioneer advancements in AI while guiding their organizations toward responsible and transformative adoption.

Curriculum Overview

The Master of Science in Artificial Intelligence (MSAI) is a 33-credit program that combines rigorous foundations with applied practice and leadership development. Students complete a blend of core courses (15 credits), electives (12–15 credits), and a culminating research or capstone experience.

Electives for Specialized Applications

In addition to core courses, a range of electives allows you to shape your expertise in high-impact verticals such as cybersecurity, healthcare, Industry 4.0, robotics, and finance. These pathways emphasize how AI drives innovation across sectors and prepare you to lead cross-disciplinary teams.

Choose Your Track

• Thesis Track: Advance research through faculty-supervised projects that prepare you for research careers.
• Non-Thesis Track: Apply AI in practice through an industry capstone or internship that prepares you for leadership in the workforce.

Both tracks offer flexible scheduling options including full-time, part-time, and hybrid formats designed for working professionals.

Why the University of New Haven?

Located in Connecticut, the Northeast’s innovation corridor, the University of New Haven is home to faculty who are actively shaping the future of artificial intelligence through research, policy, and industry engagement. Our faculty lead research groups that regularly publish cutting-edge findings in areas such as large language models, reinforcement learning, trustworthy and secure AI, and applied AI in cybersecurity, healthcare, and advanced manufacturing.

ËÄÉ«AV plays a leadership role beyond the classroom. As co-founder of the , our faculty contribute directly to state and national conversations on AI policy, governance, and workforce development. Students benefit from this unique connection between academic research and real-world impact, gaining insights from faculty who are both innovators and policy advisors.

Industry collaboration is central to our program. Courses are project-based and integrated with applied opportunities through internships, capstones, and research partnerships with companies and organizations across the region and beyond. This ecosystem ensures that graduates are prepared not only with advanced technical expertise but also with the innovation mindset and leadership skills to guide AI adoption responsibly and effectively.

Join a program where academic excellence, active research, policy influence, and industry partnerships come together to prepare you to lead in the rapidly evolving field of artificial intelligence.

Admissions Eligibility

Applicants should possess a bachelor’s degree in computer science, engineering, data science, or related fields. Professionals seeking to transition into AI roles are encouraged to apply to our graduate program in artificial intelligence. Bridge coursework is available for those without prior preparation, ensuring all candidates can meet the program's rigorous standards.