橋港大學(xué)

Recognized as a leader in innovation and research, the University of Bridgeport is true to its mission as a career-oriented institution that prepares students for the careers of tomorrow — where job titles are still yet to be written. The AI field is a growing niche area and is now the centerpiece of technology innovation in advanced robotics, autonomous vehicles, knowledge automation, and computer vision.

UB is pleased to launch the first and only Master of Science program, MS in Artificial Intelligence in the state of Connecticut. Instruction is exclusively face-to-face and includes web-assisted courses. Graduates will be prepared for in-demand commercial or research positions in industry (including tech giants) and academia.

Artificial intelligence is one of four main drivers set to dominate 2018-20 that will positively affect business growth per the World Economic Forum (WEC) 2018 report. Machines and algorithms in the workplace are set to create 133 million new roles (WEC).

Jobs in emerging professions are set to increase its share of employment from 16% to 27% of the total employee base. Information cited from WEC's The Future of Jobs Report, 2018.

The average salary for AI is $121k annually per Payscale. A machine learning engineer’s salary is $142,855, per the job listing site .

AI Concentrations

• Robotics and Automation
• Deep Learning and Computer Vision
• Data Sciences and Data Analytics
• Cybersecurity

Curriculum

A total of 34 credit hours is required prior to graduation.

The Artificial Intelligence coursework will address 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, 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

• Introduction to Robotics
• Advanced Robotics
• Computer Vision
• Introduction to Autonomous Vehicles

Data Sciences and Data Analytics

• Computer Vision
• Data Mining
• Big Data Analytics
• Blockchain and Crypto Currency Technologies

Deep Learning and Computer Vision

• Computer Vision
• Deep Learning
• Introduction to Autonomous Vehicles
• Advanced Deep Learning

Cybersecurity

• Computer Vision
• Network Security
• Cryptography and Cryptanalysis
• Application Security