Artificial Intelligence, B.S.

*** This program is pending approval by the Connecticut Office of Higher Education.  We anticipate the program will be available beginning with the fall 2026 term. ***

*** Updated 01/15/2026: this program has been approved by the Connecticut Office of Higher Education. ***

Program Description

The Bachelor of Science in Artificial Intelligence (BSAI) prepares students for careers in artificial intelligence, machine learning, and data science through a curriculum that balances rigorous technical foundations with practical innovation skills. Students develop Python programming expertise, computational thinking abilities, and specialized AI knowledge while learning to deploy, maintain, and responsibly steward intelligent systems.

Program Objectives

The program builds technical competency through coursework in supervised and unsupervised learning, deep learning, and natural language processing. Students learn to implement algorithms, understand their mathematical foundations, and select appropriate approaches for real-world problems. The curriculum emphasizes systems thinking, teaching students to build end-to-end AI solutions - from data pipeline design through model deployment and production monitoring - and to integrate AI components with broader software systems and business objectives.

Recognizing that AI development carries significant societal responsibility, the program equips students to identify and address issues of bias, fairness, transparency, and accountability. Students learn to evaluate models responsibly, understand regulatory frameworks and privacy considerations, and communicate AI capabilities and limitations to diverse stakeholders.

The curriculum develops innovation and problem-solving capabilities through project-based learning that cultivates the ability to identify problems amenable to AI solutions, prototype quickly, and iterate based on feedback. Students learn to work productively with ambiguity and translate organizational challenges into technical opportunities. Communication and collaboration skills are developed through team projects, technical writing, and experiences that bridge engineering and business perspectives.

Given AI's rapid evolution, the program emphasizes continuous learning habits, research literacy, and the intellectual curiosity needed to engage new tools and techniques with methodological rigor. Graduates are prepared for careers as AI engineers, data scientists, NLP engineers, ML operations specialists, and technical leaders who create meaningful impact through responsible innovation.

Program Outcomes 

By the end of the program, students will be able to: 

1. Apply computational thinking for problem-solving  

2. Develop AI systems   

3. Use AI applications   

4. Design human-centered AI systems   

5. Evaluate the ethical, social, and security implications of AI tools  

6. Analyze data for AI application 

7. Collaborate effectively in teams