Power Modern Technology to Help Solve Real-World Problems
The master’s in computer engineering program at UCF covers a variety of areas related to computer systems and VLSI design, software engineering and algorithms, intelligent systems and Machine Learning, computer networks and computer security, as well as simulation systems. Your coursework will cover a broad background in various technical areas; however, you’ll have the opportunity to specialize in a research area of your interest.
Fundamental and applied research encompass a wide spectrum of subjects, from computer architecture and evolvable hardware to micro-and nano-electronics to networked dynamical systems and cooperative control. This transformational research supports sustainable economic growth, national security and an improved quality of life. Broad impacts of these research are facilitated by its centers led by and/or affiliated with the Department of Electrical and Computer Engineering: the FEEDER Consortium funded by the U.S. Department of Energy and the Electric Vehicle Transportation Center funded by the U.S. Department of Transportation.
Through hands-on learning experiences both inside and outside of the classroom, you’ll gain a high level of competency in understanding, applying and enunciating the modern concepts, principles, methods, and theories necessary for the design and implementation of computing systems. Our graduates leave the program prepared to continue their studies toward a Ph.D. or directly enter industry and government positions.
Computer Engineering (MSCpE) – Accelerated BSCpE to MScPE
The accelerated BSCpE to MScPE program provides an opportunity for computer engineering and electrical engineering undergraduates to earn their bachelor’s and master’s degrees in five years. This allows students to dual count 12 credit hours of 5000- or 6000-level courses — with a grade of B or better — toward both the BS and MS requirements.
- July 1
- December 1
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Advanced Computer Architecture
Learn about modern processor design, instruction-level parallelism, thread-level parallelism, data-level parallelism, memory hierarchy and I/O.
Explore the origin/evaluation of machine intelligence; machine learning concepts and their applications in problem solving, planning and “expert systems” symbolic role of human and computers.
Study the application of formal software processes, engineering methods and documentation standards to the development of large-scale software systems. A team project is required.
Computer Engineering Skills You'll Learn
- Identify, formulate and solve complex computer engineering problems by applying principles of engineering, science and math.
- Collaborate effectively with various teams whose members provide leadership, create a collaborative and inclusive environment, establish goals, plan tasks and meet objectives.
- Recognize ethical and professional responsibilities in computer engineering situations and make informed judgments, which must consider the impact of engineering solutions in global, economic, environmental and societal contexts.
- Electronics Engineer
- Cyber/Information Security Engineer
- Computer Systems Engineer
- Mobile Applications Developer
- Computer Programmer
- Software Engineer
- Data Engineer
- Software QA Tester/Engineer
- Network Engineer/Architect
- Hardware Engineer
We recommend that computer engineering applicants hold a bachelor’s degree in computer engineering or a closely related discipline. Depending on your undergraduate program of study, additional courses may be required to correct any course deficiencies. Additionally, a GRE may not be required if your bachelor’s degree is in electrical engineering or computer engineering with an appropriate minor.
Applications to the program are accepted for the fall and spring semesters, and all required materials need to be submitted prior to the application deadline.
In addition to the general UCF graduate application requirements, applicants to this program must provide:
- Official transcripts
- Letters of recommendation
- Statement of educational, research and professional career objectives