University of Chicago

What you'll study

The programme combines core computer science theory and practical, application-focused coursework. Core topics typically include programming and software design, data structures and algorithms, systems (operating systems and computer architecture), databases, and discrete mathematics. Students also study statistics, linear algebra and probability to support data-oriented work.

After completing foundational courses, students choose from applied electives in areas such as machine learning, computer vision, natural language processing, human–computer interaction, mobile and web systems, networking, cybersecurity, and high-performance computing. The curriculum emphasises project work: laboratory courses, team software projects and an opportunity for an independent capstone or honours thesis are common ways to integrate theory with real-world development.

Because the University of Chicago has a strong interdisciplinary culture, the programme encourages combining computer science with social sciences, physical sciences, business, medicine and the arts. Students often take electives or related courses in statistics, economics, data science, cognitive science and entrepreneurship.

Entry requirements

Admissions to the University of Chicago are competitive and based on a holistic review of academic record, essays and recommendations. Applicants to the computer science major are expected to demonstrate strong preparation in mathematics—typically including calculus—and evidence of analytical ability. Prior programming experience is beneficial but not strictly required; successful applicants often present coursework, personal projects, bootcamp experience or computing-related extracurriculars.

International applicants must demonstrate proficiency in English as part of the university's general admissions process. Specific course placement within the computer science curriculum may depend on prior study; students with advanced standing or AP/IB credit can often place out of elementary courses and move directly into intermediate or advanced classes.

Career prospects

Graduates pursue a wide range of career paths in technology and beyond. Common roles include software engineer, data scientist/analyst, systems engineer, machine learning engineer, product manager and UX engineer. Because of the programme's quantitative emphasis, many alumni also enter finance, consulting or take up technical roles in healthcare, scientific research and government.

The degree also prepares students for graduate study in computer science, data science, artificial intelligence and related fields. Many undergraduates augment their CVs with internships, research assistantships with faculty, and entrepreneurship projects facilitated by campus innovation resources.

Why study at University of Chicago

The University of Chicago offers a blend of theoretical strength and applied opportunity. The Department of Computer Science is known for rigorous teaching and active research across algorithms, systems, machine learning and interdisciplinary applications. Small seminar-style classes and close faculty mentoring are hallmarks of the undergraduate experience.

Students benefit from cross-disciplinary institutes, research centres and industry connections in Chicago and beyond, enabling internships, collaborative projects and startups. Dedicated undergraduate advising, research programmes and career services support skill development and job placement, while the broader Core Curriculum ensures a broad intellectual foundation that complements technical training.