Combine Engineering, Science and Math to Create Software Solutions to Real-World Issues
A BS in Computer Science degree emphasizes the mathematical and theoretical foundations of computing, rather than teaching specific technologies. It provides the foundation you need to break into some of the most exciting and profitable careers. Prepare for opportunities in a variety of fields, including robotics, computer gaming, virtual reality, computer vision, media convergence, digital, evolutionary computing, computer architecture and so much more.
Housed in the L3Harris Engineering Center, the computer science program has classrooms and high-tech innovative lab spaces where cutting-edge research is performed covering a wide range of topics. These labs include the Siemens Digital Grid Laboratory and a planned 360-degree augmented-virtual reality lab space.
Here, you’ll learn from faculty who have internationally recognized expertise in fundamental and application areas. Your coursework offers opportunities to study phenomena connected with computers and computation, including software (algorithms and data structures), hardware (design of computers) and many diverse applications of computational thinking and techniques.
All computer science majors must pass the Computer Science Foundation Exam in order to advance to upper-level coursework. Nationally, only UCF’s computer science program uses a test this way to qualify its students. The exam covers problem solving techniques, algorithms, abstraction, proofs and language skills. Tests are held each semester, and the exam helps ensure the success of our students. It’s also a resume builder and a feature many industry partners highlight as a primary reason they want to hire our computer science graduates.
Undergraduate Application Deadlines
- May 1
- November 1
- March 1
- July 1
- November 1
- March 1
- March 1
- September 1
- January 1
Ready to get started?
Computer Science I & II
Explore problem solving techniques, order analysis and notation, abstract data types and recursion. Then in the second course, you’ll cover algorithm design and analysis for tree, list, set and graph data models; algorithmic strategies and applications, and algorithmic complexity analysis; sorting and searching; practical applications.
Computer Logic and Organization
Learn about logic design, computer arithmetic, Instruction Set Architecture (MIPS, SPIM simulator), performance, data path, control unit, memory hierarchy, I/O interface.
Security in Computing
Gain an understanding of security theory. Legal and human factors, Malware, Intrusion patterns and tools, Windows, Unix, TCP/IP, and applications vulnerabilities. Detection. Policies and enforcement. Protection and assurance.
Computer Science Skills You’ll Learn
- Learn about the concepts, principles, processes and methods for developing large software systems.
- Cover skills that encompass a wide range of areas such as AI and machine learning, graphics and games, algorithms and complexity, software engineering, cybersecurity, big data,vision and robotics, and computer networks.
- Gain first-hand knowledge of ethical standards related to the field of computer science, including considerations involving artificial intelligence and machine learning.
- Software Engineer
- Software Developer
- Database Administrator
- Computer Systems Analyst
- Computer Hardware Engineer
- Information Security Analyst
- Computer and Information Systems Managers
- Network Architect