CT

Master's in AI
On-Campus, Online

University of Bridgeport

Master’s in Artificial Intelligence – Robotics and Automation

  • Bridgeport
About This Program

A project-oriented program designed for those building advanced autonomous systems and robotic manipulators.

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What You'll Learn

Students will learn to code in Python and R, work with AI frameworks, and develop their own models.

For detailed, official program information including specific curriculum, faculty, research opportunities, and application requirements:
Visit Official Program Website
Typical Curriculum Structure
Curriculum themes include advanced robotics, autonomous vehicles, sensory interpreters, and the role of AI in manufacturing and assistance.
Typical Course Topics
1. Machine Learning Theory and Deep Neural Networks 2. Robotics and Automation Engineering 3. Computer Vision and Perception Systems 4. Natural Language Processing and Intelligent Agents 5. Control Systems and Autonomous Navigation 6. AI Applications in Manufacturing and Process Automation
Program Specializations:
Machine Learning
Deep Learning
View the exact, up-to-date curriculum on the official program website
Typical Admissions Requirements
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
Academic Requirements (Typical)

• Degree Required: Master’s (MS)
• GRE/GMAT: Not Required
• TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)

Application Materials (Typical)

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

Application Timeline

Most programs have rolling admissions or deadlines in early winter for fall admission. Check the official program website for exact dates.

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Career Opportunities in AI

Advance as Robotics Engineer in Engineering AI with robotics expertise

Estimated Industry Salary
AI/ML Robotics Engineer: $120,000
Total compensation (entry to mid-level)
AI Job Growth
15.0%
Projected 2024-2034 (BLS)
Common Career Paths:
1. Robotics Engineer 2. Automation Systems Engineer 3. AI Research Scientist 4. Control Systems Engineer
Top AI Employers (Industry-Wide):
Top employers in robotics and automation include major technology companies like Tesla, Boston Dynamics, NVIDIA, and manufacturing firms such as General Motors and Siemens.
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Program Details
Duration
  • 2 Year
Tuition
  • 35,530
Format
On-Campus, Online
Specializations
Machine Learning
Deep Learning
Official Resources
Program Website
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