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Master's

Master of Science in Computer Engineering

University of South Florida Bellini College of Artificial Intelligence, Cybersecurity and Computing 18 courses 30 total credits

About This Program

Bellini College of Artificial Intelligence, Cybersecurity and Computing Major Contacts, Deadlines, and Delivery Information This major shares a core with the Computer Engineering Systems, M.S.Cp.E. Also offered as a Bachelor’s/Master’s Pathways The Master of Science in Computer Engineering (M.S.C.P.) graduate program combines advanced coursework and research opportunities in areas related to computing systems, software, hardware, and algorithms. It equips students with advanced skills in computer engineering and software development, including but not limited to (a) the co-development of hardware and software, (b) efficient, low-power and low-energy realization of emerging applications, and (c) AI-driven automation to enhance system security. Students learn to design optimized hardware and explore advanced topics like digital circuit design, computer architecture, and embedded systems. The curriculum also covers emerging fields in hardware and computer engineering, including quantum computing, neuromorphic engineering, edge computing, and hardware acceleration. Graduates are prepared to address complex challenges in creating secure, efficient, and intelligent systems tailored to the demands of modern technology. Major Research Areas: Interconnected hardware and software, Computer-Aided Design (CAD) of Integrated Circuits (ICs), AI chips, hardware and software security, computer architecture, computer networks, distributed systems, embedded systems, formal verification,...

Degree Requirements

Total Credits 30 credits

Core Requirements

Successful completion with a letter grade of “B” 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 Core Requirements 6 credits

Electives (15 Credit Hours Minimum)

Students must select the graduate elective courses in consultation with the Graduate Director or individual advisor. Non-thesis students need to take a minimum of nine (9) credits from the list of electives that are hardware related in the following topic areas: artificial intelligence, machine learning, computer architecture, distributed systems, embedded systems, expert systems, formal verification, computer security, or VLSI design and CAD as determined by the Graduate Director and documented in the Plan of Work. Examples of Courses: taken as: Security & Privacy in ML (3 Credit Hours for this program) Hardware Accelerators for ML (3 Credit Hours for this program) Quantum Computing &...

Thesis Option (9 Credit Hours Minimum)

The thesis option requires nine (9) credit hours of thesis in computer engineering related problems, as determined by the Major Professor and documented in the Plan of Work.

Code Course Title Credits
CIS 6971 Thesis: Master’s 2-19

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