Computer Programming Degree Program Highlights

Turn ideas into algorithms, and algorithms into impact.

Computer science is a foundational discipline that drives innovation across nearly every aspect of modern life—from smartphones and smart homes to self-driving cars and intelligent virtual assistants. Computer scientists are critical in shaping how we communicate, work, travel, and interact with technology.

Computer scientists, often working alongside software developers, data scientists, and engineers, use their algorithms, data structures, programming languages, and systems design expertise to solve complex problems and build reliable, scalable software. They are not just coders but analytical thinkers and creative problem-solvers who design the logic that powers everything from operating systems and mobile applications to cutting-edge artificial intelligence systems.

With the rapid evolution of technology, professionals in this field must stay current with emerging trends such as artificial intelligence, machine learning, big data analytics, extended reality (XR), and quantum computing. These technologies are transforming the healthcare, finance, transportation, and entertainment industries, creating a growing demand for skilled professionals.

A Computer Programming concentration focuses on the art and science of software development—transforming ideas into code and code into impactful applications. This concentration builds proficiency in programming languages, including C++, C#, Java, and Python, software design, development methodologies, and debugging techniques. Students learn to create scalable, secure, and efficient applications that meet real-world needs, from web and mobile platforms to enterprise and embedded systems.

Graduates are prepared for roles such as software developers, application engineers, and systems programmers or advance to graduate studies such as a Master of Science in Information Systems, which combines technical expertise with business acumen, preparing them for leadership roles, or a Master of Science in Data Science, which focuses on data analysis, predictive modeling, statistical computing, and machine learning techniques to extract insights from data.