Kakos School of Arts and Sciences

Department of Computer Science

Where the next generation of computing leaders learns to build what's next.

Artificial Intelligence is transforming nearly every aspect of modern life, from healthcare and finance to engineering, education, and scientific discovery. Our Computer Science program prepares students for this new era by combining rigorous education in the fundamentals of computing with modern AI-enhanced approaches to algorithm design, software development, and problem solving. Students learn not only how to use AI, but how it works and how to design new AI tools.

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Department of Computer Science

What AI Can't Replace

AI can assist with programming, but it cannot replace the human abilities at the heart of Computer Science. It cannot decide what to build, judge whether a system is correct and secure, or weigh the consequences of putting it into the world. Our curriculum develops those abilities deliberately, through theoretical coursework, guided lab work, and design projects that culminate in a senior capstone. These are the six that define the computer scientists of the AI era.

Define Problems

Every great system begins with a question worth answering. AI can write code, but it cannot decide what is worth building or why. Students learn to translate real-world needs into well-defined computational problems. That skill turns ideas from healthcare, finance, engineering, and science into working technology.

Design System Architectures

Software that matters is more than the sum of its functions. Students learn how complex technological solutions are designed, built, evaluated, and maintained. From a single algorithm to a full application, they develop the judgment to choose the right structure for the job. Architecture is where computer scientists shape what AI helps assemble.

Evaluate Correctness

Intelligent tools produce answers with confidence, whether or not those answers are right. Successful engineers verify results rather than simply accept them. A strong foundation in algorithms, data structures, and computational thinking makes that verification possible. Students graduate knowing not just how to generate code, but how to prove it works.

Ensure Security & Reliability

The systems that run hospitals, banks, and infrastructure have to earn our trust. AI-generated components belong only in robust, scalable, and secure software. Students learn to harden systems against failure and attack, and to build reliability in from the first line of code. It is a responsibility no tool can carry alone.

Make Ethical & Informed Decisions

Technology shapes lives, and someone has to decide how. Students learn to make ethical and informed engineering decisions about the systems they design and deploy. They weigh privacy, fairness, and long-term consequences alongside performance, speed, and cost. In an AI-driven world, that judgment is what separates innovation from harm.

Guide Intelligent Tool

The next generation of computer scientists will work in partnership with AI. Students learn to guide intelligent tools, verify their results, and improve their designs. They practice AI-enhanced development, from rapid prototyping to automated testing. The result is an engineer who directs the tools, never the other way around.