Master's in AI Admission Requirements

Program Prerequisites

• Bachelor’s degree from an accredited university or recognized international institution.
• Recommended cumulative undergraduate GPA of 2.90 or higher

Required Materials

• Application
• Official transcripts for the last degree earned. To be considered for a scholarship, you must submit transcripts from each institution attended.
• Two letters of recommendation
  • Letters must come directly from employers, professors, or professional associates. Your recommenders should comment on your work ethic, academic or professional experience in your field of choice, and how you would positively contribute to the School of Engineering.
• Personal statement
  • In 250-500 words, detail why you are seeking this degree, how you expect to apply your degree to your professional career after graduation and why you seek to pursue your degree through University of Bridgeport.
• Résumé

International Applicants

Please consult the International admission requirements page, or for specific queries, contact your admissions officer.

Deadlines

A completed application and all supporting documents must be received on or before:

• July 15 for the fall semester
• December 1 for the spring semester

Your Future Starts Today!

• Apply online!
• Financial aid is available, and we accept applications on a rolling basis.
• We have comprehensive support services that will get you through college and into a great career.

Master's in AI Courses

Master's in AI courses will address the increasing role of artificial intelligence in nearly all aspects of human life, including health care, medical diagnosis, new drug discovery, business intelligence, data analytics, customer behavior prediction, robotics in manufacturing and human assistance, autonomous vehicles, including drones and self-driving cars, and beyond. The Artificial Intelligence program requires students to complete a total of 34 credit hours prior to graduation. Students may select one or more areas of specialization, in which case, the student will need to take at least three courses in each area(s) selected.

Robotics and Automation Courses

CPSC 460	Introduction to Robotics
CPSC 461	Advanced Robotics
CPEG 585	Computer Vision
CPEG 588	Introduction to Autonomous Vehicles

Data Sciences and Data Analytics Courses

CPSC 552	Data Mining
CPSC 651	Big Data Analytics
CPSC 652	Hadoop and NoSql
CPSC 570	Blockchain and Crypto Currency Technologies

Deep Learning and Computer Vision Courses

CPEG 585	Computer Vision
CPEG 586	Deep Learning
CPEG 588	Autonomous Vehicles
CPEG 686	Advanced AI and Deep Learning

Cybersecurity Courses

CPEG 561	Network Security
CPSC 563	Software and Application Security
CPSC 568	Cryptography
CPSC 571	Cloud Computing

 

View all courses offered and read full course descriptions in our online course catalog system.