Master of Science with Major in Computer Engineering with or without thesis (M.S.)
Admission Requirements
Applications for admission to the master’s program are approved by the University upon the recommendation of the Department of Computer Science and Engineering. All applicants must submit with their applications the official transcripts from previous institutions attended and have official GRE (Graduate Record Examination) scores forwarded to the University. Applications for admission are evaluated on an individual basis. As a minimum, applicants are expected to meet the following requirements:
- A baccalaureate degree in engineering or a related field. (Students who do not have a computer engineering background will be expected to take additional courses.)
- At least 3.0 (of a 4.0 maximum) GPA (Grade Point Average) in the last 60 credits attempted prior to graduation.
- A combined score of 1000 or higher on the verbal and quantitative portions of the GRE. GRE scores more than five years old are not acceptable.
- A score of 213 or higher in the Test of English as a Foreign Language (TOEFL).
Applicants are expected to have taken the following prerequisite courses (or equivalents) before pursuing a master´s degree. Conditional admission may be approved subject to completion of these courses.
Prerequisite Courses for Master of Science in Computer Engineering
| Course No. | Title | Credits |
| CDA 3201C | Introduction to Logic Design | 4 |
| CDA 3331C |
Introduction to Microprocessor Systems |
4 |
CDA 4150 CDA 4105 CDA 4204 | Computer Design I, or Structured Computer Architecture, or CAD-Based Computer Design | 3 |
EEL 3300
CDA 4210 | Introduction to Electronics, or
Introduction to VLSI | 3 |
| COP 3530 | Data Structures & Algorithm Analysis | 3 |
MAC 2311 or MAC 2253 |
Calculus with Analytical Geometry I or Calculus for Engineers I |
4 |
MAC 2312 or MAC 2254 | Calculus with Analytical Geometry II or Calculus for Engineers II | 4 |
| MAD 2104 |
Discrete Mathematics |
3 |
| STA 4821 | Stochastic Models for Computer Science (Probability and Statistics) | 3 |
|