Computer Science and Engineering (PhD)
Admission Standards
The admission standards for the PhD program in Computer Science and Engineering are as follows:
- All admission applications for the program shall include:
- A completed graduate application for the Graduate School,
- An application fee,
- Results from the Graduate Record Examination (GRE),
- At least two letters of recommendation,
- A brief personal statement describing the decision to continue to a PhD program, and
- Official transcript(s) for all previous post-secondary coursework. All transcripts not in English must be certified as authentic and translated verbatim into English.
- The minimum requirement for admission is the baccalaureate degree or its equivalent from an accredited institution.
- The successful applicant will typically have an undergraduate grade point average of 3.00 or above (on a 4.00 scale).
- The successful applicant will typically have a GRE combined Verbal and Quantitative Reasoning score of 295 or above.
- 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 79 or higher or overall IELTS score of 6.5 or higher or a Duolingo score of 105 or higher.
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:
Code | Title | Hours |
---|---|---|
Post-Baccalaureate Courses | ||
Approved Master’s Level Course Work | 30 | |
CSE Electives 1 | 18 | |
CSE 799 | Dissertation Research | 9 |
CSE 795 | CSE Seminar | 2 |
Minimum Total Hours | 59 |
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
Code | Title | Hours |
---|---|---|
CSE 504 | Automata Theory | 3 |
CSE 516 | Fundamentals of Computer Communications and Networks | 3 |
CSE 530 | Design of Compilers | 3 |
CSE 545 | Artificial Intelligence | 3 |
CSE 550 | Software Engineering | 3 |
CSE 619 | Design and Analysis of Computer Algorithms | 3 |
CSE 629 | Distributed System Design | 3 |
CSE 630 | Advanced Databases | 3 |
Computer Hardware Engineering Core Courses1
Code | Title | Hours |
---|---|---|
CSE/ECE 510 | Computer Design | 3 |
CSE 525/ECE 516 | Microcomputer Design | 4 |
CSE 611 | Computer Architecture | 3 |
ECE 515 | Introduction to VLSI Systems | 3 |
Computationally Intensive Applications Core Courses1
Code | Title | Hours |
---|---|---|
CSE 522 | Performance Evaluation of Computer Systems | 3 |
CSE 564 | Introduction to Cryptography | 3 |
CSE 609 | Multimedia Processing | 3 |
CSE 621 | Web Mining for E-Commerce and Information Retrieval | 3 |
CSE 622 | Simulation and Modeling of Discrete Systems | 3 |
CSE 627 | Digital Image Processing | 3 |
CSE 628 | Computer Graphics | 3 |
CSE 660 | Introduction to Bioinformatics | 3 |
ECE 520 | Digital Signal Processing | 3 |
ECE 550 | Communication and Modulation | 3 |
ECE 560 | Control Systems Principles | 3 |
ECE 614 | Deep Learning | 3 |
ECE 619/CSE 633 | Computer Vision | 3 |
ECE 620 | Pattern Recognition and Machine Intelligence | 3 |
Advanced Mathematics Core Courses1
Code | Title | Hours |
---|---|---|
IE 664/CSE 563 | Experimental Design in Engineering | 3 |
CSE 620 | Combinatorial Optimization and Modern Heuristics | 3 |
CSE 632 | Data Mining | 3 |
MATH 501 | Introduction to Analysis I - CUE | 3 |
MATH 667 | Statistical Inference | 3 |
MATH 681 | Combinatorics and Graph Theory I | 3 |
- 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.