STEM Designation: This program is STEM (science, technology, engineering, and math)-designated by the Department of Homeland Security. For more information, please see https://www.newhaven.edu/admissions/stem-designated-programs.php
The Master of Science in Artificial Intelligence (MSAI) at the University of New Haven is a 33-credit hour graduate program designed to address the increasing industry demand for AI professionals. The program equips students with theoretical foundations, practical engineering skills, and deployment methodologies for AI systems.
Program Outcomes
By the end of the program, students will be able to ...
- Develop AI models based on AI principles.
- Evaluate modern AI techniques, including foundation models, LLMs, and reinforcement learning.
- Deploy AI solutions that are scalable, efficient, and robust in cloud-based and distributed computing environments.
- Assess the security, privacy, and ethical implications of AI systems.
- Develop safeguards to mitigate potential risks and biases in AI systems.
- Communicate AI concepts, findings, and technical details effectively to diverse audiences, including technical teams, stakeholders, and decision makers.
To earn the Master of Science in Artificial Intelligence (MSAI) degree, students must complete a minimum of 33 credits through either the Thesis or Non-Thesis track. All students are required to complete 15 credits of core coursework. Students pursuing the Thesis track must complete 12 credits of elective courses and 6 credits of supervised thesis research. Students in the Non-Thesis track must complete 15 credits of electives and 3 credits in either an approved internship or a faculty-supervised capstone project.
Depending on their prior academic preparation, students may be required to complete up to 6 additional credits (2 courses) of prerequisite bridge coursework. The need for these bridge courses will be assessed at the time of admission, and students will be informed whether either course is required or waived as part of their admission decision.