May 25, 2026  
2026-2027 Graduate Catalog 
    
2026-2027 Graduate Catalog

Computer Engineering Major, PhD


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The Tickle College of Engineering offers a PhD in Computer Engineering to qualified applicants. Candidates for the PhD program are expected to possess a Bachelor of Science or Master of Science degree in Computer Engineering or related field. Students in the PhD program will be required to demonstrate general competence in Computer Engineering by completing a comprehensive examination as described below.

Concentrations (Optional)


  • AI and Intelligent Systems
  • ​​​​​​​Cybersecurity Engineering​​​​

Campus Code


Knoxville Campus

Admissions Standards/Procedures


  • Exceptional students holding the bachelor’s degree may be admitted to the doctoral program without first obtaining a master’s degree.
  • A TOEFL score of 550 on the written exam or 80 on the Internet-based Test is required for non-native speakers of English, including those who have earned degrees at U.S. institutions.
    • The score must be no more than two years old from the requested date of entry.
    • Applicants who have received a degree from an accredited U.S. institution within the past two years are exempt from the TOEFL requirement.
  • Applicants who hold the bachelor’s degree in fields other than electrical or computer engineering will be required to take selected undergraduate courses as determined by the applicant’s prior education and experience.
    • The student will be admitted under non-degree status until the required undergraduate courses are successfully completed with a grade of B or better.

Credit Hours Required


  • Students holding only a BS degree, as well as students who receive a concurrent MS degree in Electrical Engineering, Computer Engineering, or Computer Science while enrolled as a PhD student, must take a minimum of 72 total graduate credit hours, including a minimum of 39 graduate course credit hours.
  • Students holding a non-concurrent MS degree in Electrical Engineering, Computer Engineering, or Computer Science from UT will be required to take a minimum of 48 total graduate credit hours, including at least 15 credit hours of graduate coursework beyond those applied to their MS degree.
  • Students with MS degrees from other fields or universities will be required to take a minimum of 48 total graduate credit hours, including at least 24 credit hours of graduate coursework.
  • For all students, at least half of the course credits must be fulfilled by ECE or COSC courses at or above the 500-level.
  • Coursework requirements may not be fulfilled by research or dissertation credit.
  • The student’s major professor, with the concurrence of the dissertation committee, will prepare a curriculum plan outlining precisely what courses will be taken.

Required Courses


  • Complete 3 hours of ECE 598 - Graduate Seminar.

  • (minimum of 24 credit hours)
  • At least half of the course credit hours must be fulfilled by ECE or COSC courses at or above the 500-level selected in consultation with major professor and/or committee.
  • A minimum of 6 credit hours must be ECE or COSC courses numbered at or above the 600-level.
  • For students holding an MS degree, a maximum of 6 credit hours of graduate courses at the 400-level may be applied toward the PhD degree. Other students may apply 12 credit hours of graduate courses at the 400-level selected in consultation with major professor and/or committee. All 400-level courses applied towards the degree must be listed in the Graduate Catalog.

AI and Intelligent Systems Concentration


Concentration reflects research focus area and does not include specific course requirements.

At least four courses (12 credit hours) from:

  • COSC 522 - Machine Learning
  • COSC 523 - Artificial Intelligence
  • COSC 524 - Natural Language Processing
  • COSC 525 - Deep Learning
  • COSC 526 - Data Engineering
  • COSC 527 - Biologically-Inspired Computation
  • ECE 517 - Reinforcement Learning
  • ECE 574 - Computer Vision
  • ECE 576 - Robotic Sensing, Planning, and Learning
  • ECE 676 - Advanced Robotic Sensing, Planning, and Learning
  • COSC 620 - Advanced Topics in Intelligent Systems
  • COSC 650 - Advanced Topics in Artificial Intelligence and Machine Learning

or with faculty approval

  • COSC 594 - Special Topics in Computer Science
  • ECE 599 - Special Topics
  • ECE 692 - Special Topics

Cybersecurity Engineering Concentration


Concentration reflects research focus area and does not include specific course requirements.

At least one course (3 credit hours) from:

  • ECE 555 - Embedded Systems
  • ECE 533 - Introduction to VLSI Design
  • ECE 553 - Computer Networks
  • COSC 530 - Computer Systems Organization

At least two courses (6 credit hours) from:

  • COSC 534 - Network Security
  • ECE 559 - Secure and Trustworthy Computer Hardware Design
  • ECE 569 - Mobile and Embedded Systems Security

At least one course (3 credit hours) from:

  • COSC 566 - Software Security
  • COSC 569 - Human Factors in Cybersecurity
  • COSC 583 - Applied Cryptography
  • COSC 589 - Special Topics in Cybersecurity
  • COSC 689 - Special Topics in Cybersecurity

or with faculty approval

  • ECE 599 - Special Topics
  • ECE 692 - Special Topics

Non-Course Requirements


  • Satisfactory performance on a qualifying examination. The qualifying examination consists of
    • A written critical review of current literature on a research topic approved by the administering faculty.
    • A presentation on the approved topic including an oral examination covering the topic and related fundamental knowledge.
    • A student must take the qualifying examination within twelve months of entering the Ph.D. program. A second and final attempt is allowed within 24 months of entering the Ph.D. program. Attendance of the examination is limited to the student and the administering faculty.
  • Satisfactory performance on a comprehensive examination administered by the student’s committee.
    • The exam results are reported to the graduate committee for approval, and the exam is filed in the department.
    • The comprehensive exam is given when the student is ready to apply for admission to candidacy.
    • The comprehensive examination consists of both written and oral parts.
      • The Written Part
        • The written part includes a complete review of the literature in the student’s dissertation topic, a review of the major tools to be used in the dissertation work, and proposed research.
        • The student’s committee may require additional written sections.
        • The student must demonstrate a mastery of the dissertation area, ability to think analytically and creatively, skill in using academic resources, and ability to complete the dissertation satisfactorily.
      • The Oral Part
        • The oral part of the comprehensive examination consists primarily of a professional presentation of a proposal for dissertation work and its defense.
        • The committee may cover additional topics in the oral part.
    • The comprehensive exam must be completed within five years of the date of the student’s first enrollment in this program.
  • Successful public defense of the dissertation by the student.
    • A minimum of 6 months must separate the comprehensive examination and the dissertation defense.
  • Participation in departmental seminars.

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