University of Bridgeport · USA

Master's in Artificial Intelligence

Campus Masters Full Time

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Delivery

Campus

Study mode

Full Time

Level

Masters

Starts

Fall, Spring

Introduction

Artificial Intelligence is a Masters program taught at University of Bridgeport, USA. Intake: Fall, Spring. The program is offered in campus-based modes with full-time (1–2 years) options.

The Master's Degree in Artificial Intelligence at the University of Bridgeport offers a comprehensive exploration of machine learning, neural networks, and intelligent systems. Students dive into theoretical foundations while engaging in hands-on projects that simulate real-world applications. This program integrates computer science, mathematics, and data analysis, enabling students to build advanced skills in technology design and implementation.

Throughout the course, students will encounter a blend of core subjects such as data mining, natural language processing, and robotics. The curriculum is designed to be both rigorous and adaptive, allowing flexibility to tailor projects to personal career aspirations. Furthermore, practical workshops and collaborative projects ensure that students gain both the technical and interpersonal skills needed to succeed in a competitive job market.

Studying in the United States offers a unique advantage, as it fosters innovation and supports a diverse environment for international students. The University of Bridgeport is located in a vibrant city, providing students exposure to pioneering research and industry partnerships.

Admission Requirements

The minimum requirements for admission in Artificial Intelligence at University of Bridgeport for all applicants (Domestic or International) are:

program specific academic requirment set by University of Bridgeport.
English Language OR any other language requirments as set by University of Bridgeport as pre-requiste for admission in Artificial Intelligence.

Note: Please check the university website in the link below.

Applicants typically hold a bachelor's degree in Computer Science, Engineering, Mathematics, or a related discipline. It is expected that students have foundational knowledge in programming, algorithms, and mathematics. Relevant work experience or research can enhance application prospects.

International students are usually required to demonstrate English proficiency through standardized tests like IELTS or TOEFL, with typical scores around 6.5 (IELTS) or 79 (TOEFL). Additional assessments may exist for specific programs.