University of Chicago

What you'll study

The programme focuses on core and advanced topics in computer systems. Typical taught modules cover operating systems, computer architecture, distributed systems, networking, storage systems, systems security, concurrent and parallel programming, and performance analysis and benchmarking. Students also take courses in systems programming, cloud and virtualisation technologies, database internals, and systems-level debugging and tracing.

The curriculum combines rigorous theoretical foundations with hands‑on practice: coursework is complemented by laboratory assignments, code projects and a substantial capstone or practicum project that emphasises design, implementation and evaluation of a real system. Elective options allow students to deepen specialisms such as storage systems, high-performance computing, site reliability engineering, or systems aspects of machine learning.

Entry requirements

Applicants are expected to hold a recognised undergraduate degree in computer science, engineering, mathematics or a closely related discipline. Strong programming skills and coursework in data structures, algorithms, and discrete mathematics are typically required; prior exposure to operating systems and computer architecture is highly desirable. Admissions decisions consider academic transcripts, a statement of purpose describing technical background and goals, a current CV, and letters of recommendation.

Where applicants lack one or two prerequisite courses, conditional admission with required preparatory coursework may be possible. Professional experience in systems engineering or software development can strengthen an application. Prospective students should consult the programme admissions pages for any specific documentation requirements and guidance on demonstrating technical readiness.

Career prospects

Graduates move into roles that require deep systems expertise. Common career destinations include systems engineer, site reliability engineer (SRE), performance engineer, cloud or platform engineer, systems architect, storage or database engineer, and infrastructure software developer. Alumni also join research labs, high-performance computing centres, and technical teams at technology companies focusing on distributed systems, security and scalable platforms.

The programme also prepares students for further study; some graduates proceed to PhD programmes in computer science or related research positions where systems design and experimental evaluation are central.

Why study at University of Chicago

The University of Chicago combines rigorous theoretical training with opportunities for practical, systems‑level work. Students benefit from a faculty active in systems research, access to high‑performance computing resources, and collaboration opportunities across departments and affiliated national laboratories. The university's location and industry connections provide routes to internships and employment with technology organisations and research centres.

Small class sizes and project‑oriented courses emphasise mentorship and hands‑on skill development. Career services and an engaged alumni network help graduates navigate transitions into industry or academia, while interdisciplinary programmes enable students to apply systems thinking to problems in data science, economics, public policy and physical sciences.