Computer Science and Engineering (PhD)

Admission Standards

The admission standards for the PhD program in Computer Science and Engineering are as follows:

  1. All admission applications for the program shall include:
    1. A completed graduate application for the Graduate School,
    2. An application fee,
    3. Results from the Graduate Record Examination (GRE),
    4. At least two letters of recommendation,
    5. A brief personal statement describing the decision to continue to a PhD program, and
    6. Official transcript(s) for all previous post-secondary coursework.  All transcripts not in English must be certified as authentic and translated verbatim into English.
  2. The minimum requirement for admission is the baccalaureate degree or its equivalent from an accredited institution.
  3. The successful applicant will typically have an undergraduate grade point average of 3.00 or above (on a 4.00 scale).
  4. The successful applicant will typically have a GRE combined Verbal and Quantitative Reasoning score of 295 or above.
  5. International students whose primary language is not English must show English language proficiency by either TOEFL/IELTS/Duolingo score or demonstration of a degree awarded from an acceptable English language institution.  The successful applicant will typically have a TOEFL score of 80 or higher or overall IELTS score of 6.5 or higher or a Duolingo score of 105 or higher.
  1.  

Program Requirements

Normally, it is expected that the student will complete a master's degree before being admitted to the PhD Program. However, qualified applicants may be admitted directly to the doctoral program after receiving a baccalaureate degree. These students will be required to complete an additional 30 credit hours of coursework at the 500 and 600 level under an individual plan developed in conjunction with the department's Director of Graduate Studies.

Also, remedial work may be specified for any applicant who, in the opinion of the faculty, do not have a sufficient background.

The minimum curricular requirements for the doctoral program are:

Post-Baccalaureate Courses
Approved Master’s Level Course Work30
CSE Electives 118
CSE 799Dissertation Research9
CSE 795CSE Seminar2
Minimum Total Hours59

Candidates for the Doctor of Philosophy degree must have a minimum final cumulative grade point average of 3.00 for all academic work attempted in Graduate Studies.

1

Master's Level Course Work and/or CSE Electives must be chosen so that eighteen (18) credit hours of courses are taken in the core areas. Two courses are required in each of two core areas and one course in each of the remaining two core areas. The approved courses for the four core areas are listed below.


Computer Software Engineering Core Courses1

CSE 504Automata Theory3
CSE 516Fundamentals of Computer Communications and Networks3
CSE 530Design of Compilers3
CSE 545Artificial Intelligence3
CSE 550Software Engineering3
CSE 619Design and Analysis of Computer Algorithms3
CSE 629Distributed System Design3
CSE 630Advanced Databases3

Computer Hardware Engineering Core Courses1

CSE/ECE 510Computer Design3
CSE 525/ECE 516Microcomputer Design4
CSE 611Computer Architecture3
ECE 515Introduction to VLSI Systems3

Computationally Intensive Applications Core Courses1

CSE 522Performance Evaluation of Computer Systems3
CSE 564Introduction to Cryptography3
CSE 609Multimedia Processing3
CSE 621Web Mining for E-Commerce and Information Retrieval3
CSE 622Simulation and Modeling of Discrete Systems3
CSE 627Digital Image Processing3
CSE 628Computer Graphics3
CSE 660Introduction to Bioinformatics3
ECE 520Digital Signal Processing3
ECE 550Communication and Modulation3
ECE 560Control Systems Principles3
ECE 614Deep Learning3
ECE 619/CSE 633Computer Vision3
ECE 620Pattern Recognition and Machine Intelligence3

Advanced Mathematics Core Courses1

IE/CSE 563Experimental Design in Engineering3
CSE 620Combinatorial Optimization and Modern Heuristics3
CSE 632Data Mining3
MATH 501Introduction to Analysis I 3
MATH 667Statistical Inference3
MATH 681Combinatorics and Graph Theory I3
1

Master's Level Course Work and/or CSE Electives must be chosen so that eighteen (18) credit hours of courses are taken in the core areas. Two courses are required in each of two core areas and one course in each of the remaining two core areas. The approved courses for the four core areas are listed below.