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University of Bridgeport

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Connecticut

United States

The Master of Science in Artificial Intelligence at the University of Bridgeport is an advanced program designed to equip students with the knowledge and skills necessary to excel in the rapidly evolving field of AI. This comprehensive course uniquely blends theoretical foundations with practical applications, ensuring students are well-prepared for both academic research and industry challenges. The program’s curriculum encompasses a wide variety of subjects, ranging from machine learning and data analytics to robotics and natural language processing, making it a robust choice for aspiring AI professionals.


One of the most compelling aspects of the program is its commitment to hands-on learning. Students will engage in real-world projects and case studies, working with cutting-edge technologies and tools utilized in the industry today. This experiential approach allows students to apply their knowledge in practical settings, enhancing their problem-solving abilities and technical expertise. Moreover, the program emphasizes collaborative learning, providing opportunities for students to work alongside peers from diverse backgrounds, thereby enriching their educational experience.


At the heart of the Master of Science in Artificial Intelligence program is a faculty comprised of highly experienced professionals and scholars who bring a wealth of knowledge and expertise. These faculty members are not only educators but also active researchers and industry practitioners. Their comprehensive understanding of the latest advancements in AI ensures that the curriculum remains relevant and forward-thinking. Students benefit from their mentorship and guidance, gaining valuable insights and fostering connections that can lead to future career opportunities.


The University of Bridgeport offers state-of-the-art research facilities and resources that are essential for students pursuing advanced studies in AI. The university is committed to fostering innovation and creativity, providing students access to modern laboratories, computing resources, and a rich library of academic materials. Furthermore, the institution encourages involvement in groundbreaking research projects, allowing students to contribute to important advancements in the field of artificial intelligence while enhancing their skills.


Another significant advantage of enrolling in this program is the extensive network of industry connections that the University of Bridgeport maintains. The university collaborates with leading technology firms and organizations, providing students with numerous internship and job placement opportunities. These connections not only enhance the learning experience but also serve as a gateway to potential employment upon graduation. Many alumni have successfully transitioned into prominent roles within the tech industry, contributing to the university’s stellar reputation for producing employable graduates.


In addition to its comprehensive curriculum and faculty expertise, the program offers unique features that set it apart from other institutions. Students have access to workshops, seminars, and industry lectures that further enrich their educational experience and keep them informed about the latest trends and developments in AI. The program’s global perspective is also reflected in its diverse student body, fostering an inclusive environment that stimulates creative thinking and innovation.


Upon completion of the Master of Science in Artificial Intelligence, students will have a wealth of career pathways available to them. Graduates frequently find themselves in high-demand roles such as AI researchers, machine learning engineers, data scientists, and robotics developers. The program prepares students not only to enter the workforce but also to take on leadership roles where they can drive technological advancements and make significant contributions to their respective fields.


Moreover, alumni from the program have reported exceptional success in their careers, often securing positions with notable companies and organizations. Testimonials from graduates highlight the program's rigorous training and comprehensive support as key factors in their professional achievements. This speaks volumes about the effectiveness of the program in preparing students for real-world challenges and ensuring their long-term success in the competitive landscape of artificial intelligence.


In terms of prerequisites, prospective students should possess a background in computer science, engineering, or a related field. A strong foundation in mathematics and programming languages is also recommended to ensure students can thrive in the program. Additionally, applicants are encouraged to submit standardized test scores, although specifics may vary depending on individual circumstances.


Why Study Artificial Intelligence at the University of Bridgeport


  • A popular choice for international students with a diverse community, fostering collaboration and networking opportunities.
  • Learn from esteemed faculty members who are industry professionals and researchers, offering mentorship and guidance.
  • Access to state-of-the-art labs and facilities designed to facilitate innovative research and hands-on learning.
  • Excellent job placement programs and strong industry connections that enhance employability post-graduation.
  • Engagement in meaningful research projects and real-world applications to solidify understanding and expertise in AI.
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Total Tuition Fees

$36,550

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Duration

24 Months

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Intake

Fall ( Sept - Nov )

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Intake

Spring ( Apr - June )

Class Profile

Career Outcomes

Graduates of the MS in Artificial Intelligence program are well-prepared for a variety of roles in the rapidly evolving AI industry, leveraging their in-depth knowledge of applied AI, machine learning, and data science to drive innovation across sectors.

Prospective Job Roles

Data Scientist

Machine Learning Engineer

Robotics Engineer

Computer Vision Engineer

AI Engineer

Top recruiters

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Eligibility Criteria

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At least 4 years of bachelor degree.

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Accepted fields include engineering, computer science, mathematics.

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At least 2.90 / 4.0 undergraduate GPA is expected.

English Proficiency Tests

  • IELTS

    6.5

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  • PTE

    58

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  • TOEFL

    80

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  • Duolingo

    95

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Application Requirements

Here's everything you need to know to ensure a complete and competitive application—covering the key documents and criteria for a successful submission.

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Application Fee: 0

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    Transcript

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    Resume

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    English Proficiency Test

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    General LOR

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    Master SOP

Application Deadlines

Regular
SpringDec 15, 2026
FallAug 1, 2026

Fees and Funding

Tuition rates are generally the same for domestic and international students. General fees vary by credit load per semester. Cost of living estimated for Bridgeport, CT. Health insurance is mandatory for all international students.
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Tuition Fees

$18,275 / year

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Overall Cost

$36,275 / year

FAQs

  • Students will learn from highly experienced professionals and scholars who are not only educators but also active researchers and industry practitioners. Their comprehensive understanding of the latest advancements in AI ensures that the curriculum remains relevant and forward-thinking, providing valuable mentorship and guidance to students.

  • The University of Bridgeport offers state-of-the-art research facilities essential for students pursuing advanced studies in AI. This includes access to modern laboratories, computing resources, and a rich library of academic materials. The institution encourages involvement in groundbreaking research projects, allowing students to contribute to important advancements in the field of artificial intelligence.

  • Alumni have reported exceptional success in their careers, often securing positions with notable companies and organizations. Testimonials highlight the program's rigorous training and comprehensive support as key factors in their professional achievements, indicating the program's effectiveness in preparing students for real-world challenges and ensuring long-term success in the AI landscape.

  • Prospective students must possess a background in computer science, engineering, or a related field. It is also recommended that applicants have a strong foundation in mathematics and programming languages to ensure they can thrive in the program. Additionally, students are encouraged to submit standardized test scores, although specifics may vary depending on individual circumstances.

  • The program features a comprehensive curriculum that encompasses a wide variety of subjects, including machine learning, data analytics, robotics, and natural language processing. This robust structure is designed to blend theoretical foundations with practical applications, preparing students for both academic research and industry challenges.

  • The program emphasizes hands-on learning through real-world projects and case studies. Students engage with cutting-edge technologies and tools, applying their knowledge in practical settings. Furthermore, collaborative learning is encouraged, allowing students to work alongside peers from diverse backgrounds, enhancing their educational experience.

  • The program stands out due to its commitment to hands-on learning, access to workshops, seminars, and industry lectures, and its global perspective reflected in its diverse student body. These features foster an inclusive environment that stimulates creative thinking and innovation, further enriching the educational experience.

  • Graduates of the program can expect a wealth of career pathways, frequently finding roles as AI researchers, machine learning engineers, data scientists, and robotics developers. The program prepares students to not only enter the workforce but also to take on leadership positions, enabling them to drive technological advancements in their respective fields.

  • The University maintains an extensive network of industry connections, collaborating with leading technology firms and organizations. This network provides students with numerous internship and job placement opportunities, enhancing their learning experience and serving as a gateway to potential employment upon graduation.

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