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All students in the MS in Computer Engineering program must have previously completed (as documented by their undergraduate transcript), successfully test to place out of, or complete at the start of their program, the following courses: CSE 501N Programming Concepts and Practice and CSE 505N Introduction to Digital Logic and Computer Design.
The Master of Science in Computer Engineering degree is jointly administered by the Department of Computer Science & Engineering (CSE) and the Department of Electrical & Systems Engineering (ESE).
This option requires 30 units of graduate credit. Students must also follow the general degree requirements listed below.
Thesis/ Project Option
The thesis or project options require 24 units of graduate credit in addition to 6 units of either thesis or project courses (CSE/ESE 599 or CSE 598 respectively). Students pursuing the project option may opt to take 27 units of graduate courses and only 3 units of CSE 598 with adviser approval. Students must also follow the general degree requirements listed below.
General Degree Requirements
- 18 of the 30 units must be from the designated graduate-level Computer Engineering courses.
- Students may request approval to take up to 12 additional units from outside the CSE/ESE departments. Such approval shall be contingent on the credits being suitably technical graduate-level content. To count more than 6 units from outside the CSE/ESE departments, an appropriate justification for the additional increment shall be provided by the adviser and student. Departmental approval shall be evaluated with increasing stringency for each additional increment.
- Up to 12 units of 400-level courses can count for graduate credit.
- None of the 30 units may be taken as independent study (i.e., CSE 400, CSE 500, ESE 400 or ESE 500).
- Courses with an "N" designation do not count toward the master's degree.
- All courses must be taken for a grade of C- or better.
- As per Engineering School guidelines, students must maintain a GPA of at least 2.70.
|CSE 507A||Technology Entrepreneurship||3 units|
|CSE 517A||Machine Learning||3 units|
|CSE 520S||Advanced Real-Time Embedded Systems||3 units|
|ESE 520||Probability and Stochastic Processes||3 units|
|CSE 521S||Wireless Embedded Sensor Networks||3 units|
|CSE 522S||Advanced Operating Systems||3 units|
|CSE 527||Natural Language Processing||3 units|
|CSE 523S||Systems Security||3 units|
|CSE 532S||Advanced Multiparadigm Software Development||3 units|
|CSE 538T||Modeling and Performance Evaluation of Interconnected Computer Systems||3 units|
|CSE 539S||Concepts in Multicore Computing||3 units|
|ESE 543||Control Systems Design by State Space Methods||3 units|
|ESE 547||Robust and Adaptive Control||3 units|
|CSE 549T||Theory of Parallel Systems||3 units|
|CSE 559A||Computer Vision||3 units|
|CSE 560M||Computer Systems Architecture I||3 units|
|CSE 561M||Computer Systems Architecture II||3 units|
|CSE 563M||Digital Integrated Circuit Design and Architecture||3 units|
|CSE 565M||Acceleration of Algorithms in Reconfigurable Logic||3 units|
|CSE 566S||High Performance Computer Systems||3 units|
|ESE 566A||Modern System-on-Chip Design||3 units|
|CSE 567M||Computer Systems Analysis||3 units|
|CSE 568M||Imaging Sensors||3 units|
|CSE 569M||Parallel Architectures & Algorithms||3 units|
|CSE 570S||Recent Advances in Networking||3 units|
|CSE 571S||Network Security||3 units|
|CSE 574S||Wireless and Mobile Networking||3 units|
|CSE 598||Master's Project||3-6 units|
|CSE/ESE 599||Master's Research||6 units|
|CSE 515T||Bayesian Methods in Machine Learning||3 units|
|CSE 519T||Advanced Machine Learning||3 units|
|CSE 534A/ESE 513||Large-Scale Optimization for Data Science||3 units|
|CSE 569S||Advanced IoT, Real-Time, and Embedded Systems Security||3 units|
|ESE 523||Information Theory||3 units|
|ESE 524||Detection and Estimation Theory||3 units|
|ESE 526||Network Science||3 units|
|ESE 551||Linear Dynamic Systems I||3 units|
|ESE 553||Nonlinear Dynamic Systems||3 units|
|ESE 562||Analog Integrated Circuits||3 units|
|ESE 572||Signaling and Control in Communication Networks||3 units|
- Contact Us
Urbauer Hall, Room 228
Graduate Program Coordinator
McKelvey Hall, Room 1010
- International Students
E60-505 - Communication tools for Academic and Professional Success
McKelvey School of Engineering requires all incoming international students who submit a TOEFL or IETLS score or has not obtained a minimum of 3 years of education in the U.S. to take a course in communication. This new course was first offered in Fall of 2018. This course does not cost extra for full-time students and is not counted toward the degree or the GPA.
Fall entry: March 1
Spring entry: October 1