University of Bridgeport

How this program compares

At an estimated $35.5K in total tuition, the Master's in Artificial Intelligence - Robotics and Automation sits roughly 17% below the $42.9K average for AI master's programs in our database — placing it in the 54th percentile on cost among the 394 we track at this level. It is one of the 54% of programs in our database offered fully or partly online.

Admission Snapshot

Typical admitted student: Applicants typically need a bachelor's degree in computer science, engineering, mathematics, or a related field with a competitive GPA (3.0+). While GRE requirements vary by institution, many programs do not mandate standardized test scores.[1

About This Program

A project-oriented program designed for those building advanced autonomous systems and robotic manipulators. Coursework concentrates on Machine Learning and Deep Learning. Most students complete it in about 2 years.

Design and develop intelligent robotic systems capable of learning from data and autonomous decision-making.

At roughly $35.5K total, University of Bridgeport's Master's in Artificial Intelligence - Robotics and Automation sits below the $42.9K average among AI master's programs we track — the 54th 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 higher than about 67% of the Connecticut programs in our data, where typical tuition runs near $33.9K.

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

Career Outcomes

The Master's in Artificial Intelligence - Robotics and Automation at University of Bridgeport (Bridgeport, Connecticut) is oriented toward Robotics 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 15% growth this decade — verify the current figure on the BLS Occupational Outlook Handbook before you rely on it.

• 1. Robotics Engineer
• 2. Automation Systems Engineer
• 3. AI Research Scientist
• 4. Control Systems Engineer

What You'll Learn

• Design and develop intelligent robotic systems capable of learning from data and autonomous decision-making
• Apply machine learning algorithms and neural networks to automate complex industrial and manufacturing processes
• Implement computer vision and sensor integration for autonomous navigation and real-world robotics applications
• Understand the theoretical foundations and practical implementation of AI technologies in automation and control systems

Curriculum Highlights

Curriculum themes include advanced robotics, autonomous vehicles, sensory interpreters, and the role of AI in manufacturing and assistance.

Top Employers

Top employers in robotics and automation include major technology companies like Tesla, Boston Dynamics, NVIDIA, and manufacturing firms such as General Motors and Siemens.

Admissions

Admission to University of Bridgeport's Master's in Artificial Intelligence - Robotics and Automation generally expects a master's (ms). 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
• Transcripts: Official transcripts required

Frequently Asked Questions