The University of New Haven is introducing a Bachelor of Science in Artificial Intelligence that will equip students with the technical, ethical, and industry-focused skills needed to design and deploy AI systems across a wide range of industries.
‘Right now, is the perfect time'
Artificial intelligence is rapidly transforming industries, leading to a significant demand for professionals with specialized expertise. The University of New Haven's new Bachelor of Science in Artificial Intelligence addresses this growing skills gap by equipping students with the necessary technical training, focusing on engineering processes for building scalable AI systems, and incorporating advanced tools such as large-language models, natural-language processing, computer vision, and agentic computing. The program is strategically timed to prepare students for an era increasingly driven by AI, likening the importance of this education to training engineers for automobiles instead of horse carriages.
‘AI will have as big an impact as electricity or automobiles’
The impact of artificial intelligence is projected to be as profound as that of electricity or automobiles, extending across nearly every sector of the economy by automating complex tasks and enabling new technologies. Recognizing this broad reach, the University of New Haven's AI program is designed to integrate technical skills with practical applications relevant to multiple industries. The curriculum also heavily emphasizes industry collaboration, with faculty working alongside industry partners and other academic departments to foster hands-on learning experiences and project-based approaches for students.
‘We are excited to bring this program forward with a sense of purpose’
The new AI program leverages the University of New Haven's existing strengths, including its established M.S. in Data Science degree program and a team of experienced faculty with strong research and real-world expertise. Graduates of the Bachelor's in AI program will be prepared for diverse career opportunities, such as AI engineer, machine-learning engineer, data scientist, data engineer, AI product manager, cloud engineer, and AI DevOps engineer. Crucially, the curriculum also prioritizes responsible innovation, covering ethical, legal, regulatory, and privacy considerations related to AI and data-driven systems, alongside human-centered design. This commitment ensures students are not only technically proficient but also deeply understand the societal implications of AI.
