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The M.S. program in Artificial Intelligence (AI) addresses the increasing role of AI in nearly all aspects of human life including health care, 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 M.S. in AI program is designed to prepare the students for in the AI field with in depth applied AI courses.
For admission to the M.S. in AI, a B.S. degree in any Engineering field, Computer Science or Mathematics is required. Students with business degree or a STEM degree can also be considered if they have sufficient programming and Mathematics background. A student who already has an M.S. degree in any Engineering, Mathematics or Computer Science can also apply to do a second M.S. 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 learn on their own, 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, propose an optimal course of action.
5. Have an enhanced ability to prepare technical point papers, brief their seniors, and defend their conclusions.
The existing graduate students at university of Bridgeport can also opt for a double major in the degree they are pursuing by adding the M.S. in AI as a double major. In this case, the student will need to complete additional 18 credit hours of course work in the AI program.
Since AI is rapidly becoming a vast field, further specializations/concentrations in the AI area are available as:
- Robotics and Automation
- Deep Learning and Computer Vision
- Data Sciences and Data Analytics
- 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:
