Computer Science, B.S.

Q: Why was the Computer Science program paused, and what does reactivation mean for me? A: The B.S. in Computer Science program was temporarily paused for new admissions while GCU assessed program structure and faculty resources. It is now being reactivated for the 2026– 27 academic year — meaning new students can apply and enroll. If you’re interested in being part of the returning cohort of this program, we encourage you to apply early and connect with Program Coordinator Dr. Kim.

Q: What’s the difference between the B.S. in Computer Science and the B.A. in Computer Information Systems? A: The B.S. in Computer Science is more theoretically rigorous and mathematically intensive. It requires calculus through Calculus II, linear algebra, and discrete mathematics, and includes upper-level courses in algorithmic analysis, machine learning, and AI. It’s the right choice if you want to pursue graduate study in CS or work in the most technically demanding roles (AI engineer, data scientist, research scientist). The B.A. in Computer Information Systems is more applied and systems-oriented — focused on programming, databases, data analytics, networks, and cybersecurity, without the calculus requirement. It’s ideal for students who want to work in IT, software development, or data analytics in business and organizational contexts.

Q: How much math is in this program, and do I need to be a “math person”? A: Quite a bit — and yes, you should be comfortable with math, or willing to develop that comfort quickly. The major requires Calculus I and II, Linear Algebra, and Discrete Mathematics. These courses are manageable with dedication and consistent effort, especially in GCU’s small-class environment where faculty are accessible and supportive. But this program is genuinely mathematically rigorous — that’s what distinguishes a B.S. in Computer Science from an applied computing degree, and it’s what opens graduate school doors.

Q: Does this program cover artificial intelligence and machine learning? A: Yes — and in meaningful depth. CS325 Introduction to Machine Learning covers supervised and unsupervised learning, deep learning, and practical applications using R programming. CS329 Artificial Intelligence covers search algorithms, knowledge representation, probabilistic reasoning, reinforcement learning, natural language processing, large language models, GPT models, and agentic AI systems. These are among the most current and relevant courses in any undergraduate CS curriculum.

Q: Can I pursue research as a CS student? A: Yes. CS414 Research Problem in CS/CIS provides a structured independent research experience under faculty supervision — and can count toward the major’s elective requirement. CS415 Internship provides a professional placement alternative. Advanced students interested in research should speak with Dr. Kim about available projects and timelines.

Q: Is this program good preparation for graduate school in Computer Science? A: Yes — that’s one of its primary purposes. The mathematics core (calculus, linear algebra, discrete mathematics), the algorithmic foundation (data structures, algorithmic analysis), and the upper level coursework in machine learning and AI align directly with what top CS graduate programs expect from applicants. The research option (CS414) provides an important credential for competitive graduate school applications.

Q: When should I apply? A: GCU uses rolling admissions — apply any time. Priority deadlines are November 1, January 1, and March 1. Given that the B.S. in CS is being reactivated for 2026– 27, we especially encourage interested students to apply early to secure their spot and connect with the program coordinator.