University of South Florida College of Engineering 33 courses 18 total credits
College of Engineering (EN) Department: Electrical and Computer Engineering Major Contacts, Deadlines, and Delivery Information This major shares a core with the Computer Engineering, M.S.C.P. The M.S.Cp.E. in Computer Engineering Systems offers advanced instruction and research opportunities in computer architecture, hardware, VLSI and system-on-chip (SoC) design, computer and data security, artificial intelligence and machine learning, and networking and communications. The program also emphasizes digital signal and image processing, embedded and cyber-physical systems, Internet of Things (IoT) applications, and emerging technologies such as quantum and bio-inspired computing. With strengths in semiconductor devices, nanotechnology, and advanced materials, the program equips graduates with rigorous technical expertise and hands-on experience to address complex engineering challenges and contribute to innovation in academia, industry, and government. Major Research Areas: Computer Architecture, Hardware, VLSI, and SoC Design, Computer and Data Security, Artificial Intelligence and Machine Learning, and Networking and Communications.
| Total Credits | 18 credits |
Shared Core Requirements
Successful completion with a letter grade of โBโ or better of two core graduate-level courses is required:
| Code | Course Title | Credits |
|---|---|---|
| EEL 6764 | Principles of Computer Architecture | 3 |
| COT 6405 | Introduction to the Theory of Algorithms | 3 |
| Total Shared Core Requirements | 6 credits | |
Required Courses
Complete two courses from the following: Note: All required courses also appear under the focus areas as technical electives.
| Code | Course Title | Credits |
|---|---|---|
| EEE 5349 | Digital CMOS VLSI Design | 3 |
| EEL 6728 | Advanced HDL | 3 |
| CNT 5730 | Advanced Computer Networks | 3 |
| EEE 6590 | Quantum Computing and Communications | 3 |
| EEL 6597 | Wireless Network Architecture and Protocols | 3 |
| EEE 6777 | Machine Learning for Engineers | 3 |
| Total Required Courses | 6 credits | |
Technical Electives (12 Credit Hours Minimum)
Students in the non-thesis option complete a minimum of 18 credit hours of technical elective coursework from any of the focus areas listed below Students in the thesis option must complete six (6) credit hours of thesis and 12 credit hours of graduate technical elective coursework from any of the focus areas listed below. As part of the technical elective coursework, students can take up to three credits on relevant technical topics outside the department with prior approval. Focus Areas: Computer Architecture, Hardware, and SoC Design. Computer and Data Security. AI, ML, and Data Systems. Networking and Communications. Quantum Computing and Emerging Technologies. General Technical...
Thesis Option
Also required: The thesis option requires six (6) credit hours of thesis. Students may complete up to nine (9) hours of thesis, reducing the required department course credits from 24 to 21 credit hours..
| Code | Course Title | Credits |
|---|---|---|
| EEL 6971 | Thesis: Masterโs | 2-19 |
| Total Thesis Option | 6 credits | |
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