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Computer Science and Engineering

  • //applyindex.com/wp-content/uploads/2021/09/united-states-of-america.png USA
  • University/Institute Name University of Bridgeport
  • Attendance Type On Campus (Full Time)
  • Position Duration7 years
  • Position Funding Type Graduate Assistantship (RA or TA) or PhD Scholarship
  • Application deadlineDec 2025
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Position Details (PhD Program)

The Ph.D. in Computer Science and Engineering degree at the University of Bridgeport is a certification of critical aptitude in scholarship, imagination, knowledge in the discipline, enterprise in research, and proficiency and style in communication. 

A candidate obtaining a Ph.D. degree must display a thorough understanding in the major areas of Computer Science and Engineering and must master the necessary tools and techniques so as to be able to make original contributions to the field of computer science and engineering. An equally important aspect is that of proficiency in oral and written communication skills.

The requirements of the Ph.D. program at theUniversity of Bridgeport are: successful completion of preliminary examinations and courses, satisfactory performance in written comprehensive and oral examinations, admission to Ph.D. candidacy, successful completion and defense of original work documented as a dissertation, and the satisfaction of additional requirements such as teaching and seminars.

The formal degree to be offered is the Doctor of Philosophy in Computer Science and Engineering. This will be awarded to candidates who complete all the requirements of the Ph.D. degree described later in this section.

Learning Outcomes

The graduate from the Ph.D. program in Computer Science and Engineering program will:

  • use advanced mathematical proof methodologies in computer science and engineering.
  • demonstrate a strong and in depth background in hardware and software issues in computer science.
  • posses a strong background in implementing software systems and/or hardware systems.
  • posses a strong background in designing diverse and integrated software/ hardware systems solutions.
  • critically analyze problems and thoroughly evaluate potential benefits of alternative solution in designing software and/or hardware systems.

Courses include:

  • Robotics
  • Advanced Robotics
  • Artificial Intelligence
  • Automata Theory
  • Neural Networks
  • Biosensors
  • Bioinformatics

Research Areas & Fields of Study involved in the position

Position Start Date

Jan 2026