Dec 04, 2024  
2023-2024 Academic Catalog 
    
2023-2024 Academic Catalog [ARCHIVED CATALOG]

Artificial Intelligence, M.S.

Location(s): Main Campus


Return to {$returnto_text} Return to: Programs of Study

Engineering Technology Building
Telephone: (203) 576-4145
Fax: (203) 576-4765

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.

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:

  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:

Summary of Requirements - 34 Credit(s)


Robotics and Automation


Deep Learning and Computer Vision


Data Sciences and Data Analytics


Cyber Security


Core Courses


Total number of credits required to complete the M.S. in AI = 34. There are two core courses

M.S. Project Option


Total number of Courses Required = 10

Out of the ten courses, the student may select one or more areas of specialization in which case, the student will need to take at least three courses in the concentration area selected.

M.S. Thesis Option


Total number of Courses Required = 9

Out of the nine courses, the student may select one or more areas of specialization in which case, the student will need to take at least three courses in the area selected.

Return to {$returnto_text} Return to: Programs of Study