Artificial Intelligence, M.S.

The MS program in Artificial Intelligence (AI) addresses the increasing role of AI in nearly all aspects of human life including healthcare, medical diagnosis, new drug discovery, business intelligence, data analytics, customer behavior prediction, use of robotics in manufacturing and human assistance, autonomous vehicles including drones, self driving cars, computer vision etc. In fact, it is difficult to come up with an area of human life that will not be affected by AI in the near future. The MS in AI program is designed to prepare students for a career in the AI field with in-depth applied AI courses.

For admission to the MS in AI, a BS degree in any engineering field, computer science, or mathematics is required. Students with a business or STEM degree can also be considered if they have a sufficient programming and mathematics background. A student who already has an MS degree in any engineering field, mathematics, or computer science can also apply to complete a second MS in AI.

MS in Artificial Intelligence student outcomes

Our MS in Artificial Intelligence students will demonstrate:

1. Demonstrate an in depth and comprehensive understanding of the field of AI.
2. Have an enhanced ability to independently learn technical details for which they are responsible
3. Have an enhanced ability to apply the knowledge learned to solve technical problems that arise in research they conduct or supervise.
4. Have an enhanced ability to study an issue including but not limited to ethical implications and societal impacts of AI, identify and evaluate alternative actions, and propose an optimal course of action.
5. Have an enhanced ability to prepare technical point papers, brief their seniors, and defend their conclusions.

Dual degree

Graduate students at University of Bridgeport can also opt for a double major in the degree they are pursuing by adding the MS in AI. In this case, the student will need to complete an additional 18 credit hours of coursework in the AI program.

The total number of credits required to complete the MS in AI is 34, including two core courses.

Since AI is rapidly becoming a vast field, fur­ther specializations/concentrations in the AI area are available as:

1. Robotics and Automation
2. Deep Learning and Computer Vision
3. Data Sciences and Data Analytics
4. Cyber Security

Each of the above concentrations will require the student to take at least three courses in the respective area. Here is the set of courses available for each concentra­tion: