Master in Artificial Intelligence

The University of Bridgeport is an urban private university founded in 1927 and located in Bridgeport, Connecticut, within easy reach of New York City. Home to just over 4,100 students, including an international cohort, the campus emphasizes diversity, global engagement and a practical approach to higher education. Its compact campus fosters close faculty-student interaction while providing access to metropolitan internship and employment markets.

UB offers a broad selection of undergraduate and graduate programs, professional degrees and hands-on learning experiences across more than two dozen academic areas. The university prioritizes experiential learning, applied research and career readiness, with faculty who are active practitioners and researchers. Students benefit from internships, cooperative projects and community-engaged scholarship that connect academic study with workplace skills and professional networks.

Support services for international students include orientation, advising and multicultural activities that ease transition and promote inclusion. The university's urban location creates opportunities for internships, cultural experiences and partnerships with regional employers, while career services and alumni networks assist graduates in launching careers. For international applicants seeking a practical, career-focused education in an accessible Northeastern setting, the University of Bridgeport offers a supportive environment with clear pathways to employment and further study.

The Master in Artificial Intelligence at University of Bridgeport is a one-year program for students with a Bachelor's degree. It helps students prepare for careers in innovation and research, with a focus on artificial intelligence.

The curriculum includes face-to-face instruction and web-assisted courses, covering areas like advanced robotics, autonomous vehicles, and computer vision. Students develop skills in knowledge automation and research, getting hands-on experience in the field.

Graduates can pursue careers as AI Engineers, Data Scientists, Machine Learning Engineers, Computer Vision Engineers, or Research Scientists, working in tech giants, industry, or academia.