University of Bridgeport

How this program compares

Budget-wise, $28.2K puts this master's program at the 41st percentile on cost — roughly 34% below the $42.9K average across 394 comparable listings. It is one of the 54% of programs in our database offered fully or partly online.

Admission Snapshot

Typical admitted student: Applicants must hold a bachelor's degree in Computer Science, Mathematics, or a related STEM field with a minimum cumulative GPA of 2.9.[2] Prior coursework in programming, data structures, algorithms, linear algebra, and probability and statistics is strongly recommended.

About This Program

This technical program focuses on creating intelligent machines that perform tasks traditionally requiring human intelligence. Coursework concentrates on Machine Learning and Deep Learning. Most students complete it in about 2 years.

At roughly $28.2K total, University of Bridgeport's Master's in AI - Deep Learning and Computer Vision Concentration sits below the $42.9K average among AI master's programs we track — the 41st percentile on price. That puts it in the mid-range on price among comparable programs.

It is one of 6 AI-related programs we track in Connecticut, of which about 83% offer an online option. On price, it comes in cheaper than about 67% of the Connecticut programs in our data, where typical tuition runs near $33.9K.

Graduates frequently move into roles such as Machine Learning Engineer, with reported salaries around $120,000.

Design and train deep neural networks for complex pattern recognition and feature extraction tasks.

Career Outcomes

The Master's in AI - Deep Learning and Computer Vision Concentration at University of Bridgeport (Bridgeport, Connecticut) is oriented toward Machine Learning Engineer hiring, with alumni reporting pay near $120,000. Its focus on Machine Learning and Deep Learning maps directly to how employers in engineering ai screen for specialized skills rather than generic degrees. Federal projections for this occupational area point to roughly 21% growth this decade — verify the current figure on the BLS Occupational Outlook Handbook before you rely on it.

• 1. Machine Learning Engineer
• 2. Computer Vision Engineer
• 3. Deep Learning Researcher
• 4. AI Systems Architect

What You'll Learn

• Design and train deep neural networks for complex pattern recognition and feature extraction tasks
• Develop computer vision applications including object detection, image classification, and semantic segmentation
• Apply supervised and unsupervised learning techniques to solve real-world AI problems
• Conduct independent AI research and implement capstone projects with practical applications

Curriculum Highlights

The concentration includes computer vision, deep learning, advanced artificial intelligence, and specialized training in autonomous vehicle technologies.

Top Employers

Top employers include technology firms like Google, Meta, Microsoft, Tesla, and NVIDIA, as well as research institutions and robotics companies developing advanced AI vision systems.

Admissions

Admission to University of Bridgeport's Master's in AI - Deep Learning and Computer Vision Concentration generally expects a bachelor's degree in computer science, mathematics, or related stem field. The GRE is not required here — a growing norm among AI programs — so applicants can often lead with coursework, projects and recommendations instead. Deadlines, testing policies and funding change year to year, so confirm the current requirements on the official program page before applying.

Application Materials

• Statement of Purpose: Required
• Letters of Recommendation: 2–3
• Resume: Required
• Official Transcripts: Required

Frequently Asked Questions