M.S. in Aerospace Engineering
The M.S. in Aerospace Engineering at UCF is a 30-credit hour program, typically complet...
M.S. in Computer Engineering
Orlando, Florida
INTAKE: Jan & Aug
Program Overview
The M.S. in Computer Engineering at UCF delves into various areas related to computer systems, including VLSI design, software engineering, algorithms, intelligent systems, machine learning, computer networks, and computer security. The program offers both thesis and non-thesis options, requiring 30 graduate-level credit hours. For ambitious undergraduates, an accelerated B.S. to M.S. pathway allows for the dual counting of 12 credit hours towards both degrees, enabling completion in a shorter timeframe. The program emphasizes hands-on learning experiences to ensure graduates possess a high level of competency in understanding, applying, and articulating modern concepts for the design and implementation of computing systems.
Curriculum: The curriculum is designed to provide a broad background in technical areas while allowing for specialization in a research area of interest. Core topics often include Advanced Computer Architecture, Machine Learning, and Software Engineering. Students learn about modern processor design, instruction-level parallelism, memory hierarchy, the application of formal software processes, and the origin and evaluation of machine intelligence. Specialized areas of study are supported, including Computer Networks and Computer Security (CNCS), Computer Systems and VLSI Design (CS/VLSI), Intelligent Systems and Machine Learning (ISML), and Software Systems and Algorithms (SSA). The program culminates in either a research thesis or a portfolio of activities for non-thesis students, demonstrating their acquired skills and knowledge.
Research Focus: Research within the Computer Engineering program at UCF spans a wide spectrum of subjects, from fundamental to applied. Key research areas include Computer Systems and Architecture, with a focus on data-intensive high-performance computing, secure and reliable processor design, and cyber security. Another significant area is Cyber-Physical Systems, encompassing networked systems, cooperative control, autonomous robotic vehicles, and smart grids. Micro and Nano Systems research involves microwave sensors, antennas, micro- and nano-electronics, and power electronics. Additionally, faculty and students are actively engaged in research related to machine learning, artificial neural networks, distributed decision-making, digital signal processing, communication theory, and wireless communication and sensor networks. These research endeavors contribute to new knowledge and support technological advancements.
Industry Engagement: UCF's College of Engineering and Computer Science, which houses the Computer Engineering program, maintains strong engagement with industry partners. The college actively facilitates connections between employers and students for recruiting, internships, and co-op opportunities. This ensures that the curriculum remains relevant to industry needs and that graduates are well-prepared for the workforce. The department also collaborates with industry through various research initiatives and consortia, such as the FEEDER Center (funded by the U.S. Department of Energy for smart grid transition) and the Center for Research in Computer Vision. The Industrial Advisory Board plays a crucial role in shaping the department's educational and research efforts, ensuring they address current industry challenges. These partnerships often lead to joint research and development projects, providing students with exposure to real-world applications and cutting-edge solutions.
Global Perspective: While not explicitly a standalone module, a global perspective is intrinsically woven into the Computer Engineering program at UCF. The nature of computer engineering and technology is inherently international, with global corporations driving innovation and requiring engineers to work in multinational teams. UCF, as a large and diverse university, attracts students and faculty from around the world, creating a rich multicultural learning environment. The research conducted, particularly in areas like cybersecurity, artificial intelligence, and networked systems, addresses challenges and seeks solutions that have global implications. Furthermore, the College of Engineering and Computer Science offers international engineering programs and study abroad opportunities, encouraging students to understand how engineering is practiced in different countries, including knowledge of international standards, markets, and engineering cultures. This prepares graduates to thrive in an interconnected global economy.
Location
Orlando, Florida
Score
IELTS 6.5
Tuition Fee
USD 21603
Postgraduate Entry Requirements
Application Fee: $31
Academic Qualifications: Applicants for postgraduate programs typically require a minimum academic achievement of 70% or above in their bachelor's degree.
English Language Proficiency:
- IELTS: Overall band score of 6.5 or 7.0 with a minimum of 6.0 in each component.
- TOEFL: Overall score of 80 or higher.
- DET (Duolingo English Test): Minimum score of 120.
The University of Central Florida (UCF) offers a variety of scholarship opportunities specifically designed to support international students in achieving their academic goals. These scholarships aim to ease the financial burden and recognize the outstanding achievements and potential of students from around the world.
Merit-Based Scholarships: UCF provides merit-based scholarships for international students who demonstrate exceptional academic performance, leadership qualities, and extracurricular involvement. These scholarships are highly competitive and can significantly reduce tuition costs. Some notable merit scholarships include the Global Knight Scholarship, which is awarded to high-achieving international freshmen based on GPA and standardized test scores.
Need-Based Financial Aid: While need-based financial aid is more limited for international students at UCF compared to domestic students, some resources may be available through external scholarship programs or private organizations. UCF encourages international students to explore scholarships offered by their home countries or international foundations.
College-Specific Scholarships: Several colleges within UCF offer scholarships tailored to students pursuing specific fields of study. For example, the College of Engineering and Computer Science and the College of Business Administration have dedicated scholarships that international students can apply for based on merit, research potential, or career interests.
Graduate Scholarships and Assistantships: International graduate students at UCF have access to various funding options, including research assistantships, teaching assistantships, and graduate fellowships. These positions often provide tuition waivers and stipends, allowing students to gain valuable professional experience while funding their education.
A Master of Science (M.S.) in Computer Engineering from the University of Central Florida (UCF) equips graduates with the advanced theoretical knowledge and practical skills necessary to excel in the dynamic technology landscape. The program's focus on areas like VLSI design, software engineering, intelligent systems, and computer networks directly translates into highly sought-after expertise, opening doors to a wide array of career opportunities across various industries.
Hardware Engineer: Specializing in the design, development, and testing of computer hardware components such as processors, circuit boards, memory devices, and input/output systems. This role often involves working with microelectronics, embedded systems, and VLSI (Very Large Scale Integration) design.
Software Engineer (Advanced/Senior): While a bachelor's might get you into software, an M.S. elevates you to more complex and leadership-oriented roles. This involves designing, developing, and maintaining large-scale software systems and applications, often focusing on areas like operating systems, distributed systems, or high-performance computing.
Embedded Systems Engineer: Focusing on the integration of hardware and software within specialized computer systems found in various devices, from consumer electronics and automotive systems to medical equipment and industrial controls. They work on the low-level programming and hardware-software co-design.
Machine Learning Engineer: Leveraging their understanding of algorithms and intelligent systems, these engineers design, build, and deploy machine learning models and AI-powered applications. They are crucial in developing solutions for areas like computer vision, natural language processing, and predictive analytics.
Cybersecurity Engineer/Architect: With a strong foundation in computer networks and systems, these professionals design, implement, and maintain secure computer systems and networks. They are responsible for identifying vulnerabilities, developing defensive measures, and responding to cyber threats.
Computer Network Architect: These engineers design and build data communication networks, including local area networks (LANs), wide area networks (WANs), and cloud-based network infrastructures. Their expertise ensures efficient and secure data flow within organizations.
VLSI Design Engineer: Specializing in the very specific field of designing integrated circuits (ICs) and microchips. This highly specialized role involves using advanced design tools and methodologies to create the complex electronic components that power modern computing devices.
Robotics Engineer: Combining knowledge of computer systems, intelligent algorithms, and hardware, robotics engineers design, develop, and program robotic systems for various applications, including manufacturing, healthcare, and exploration.
Research Scientist (Computer Engineering): Often found in corporate research and development labs, government agencies, or academia, these professionals conduct cutting-edge research to advance the field of computer engineering. They explore new technologies, develop novel algorithms, and contribute to scientific publications.
Cloud Engineer: With the growing adoption of cloud computing, these engineers design, implement, and manage cloud-based infrastructure and applications. They leverage their knowledge of networking, distributed systems, and software development to build scalable and robust cloud solutions.
