University of Chicago

What you'll study

The programme integrates computer science, systems engineering, statistics and social science to give a broad but practical grounding in security. Core subjects typically cover secure systems design, cryptography and applied cryptanalysis, network and cloud security, and threat modelling. Students also study quantitative methods such as probability and statistics for security, machine learning for security and adversarial techniques, and secure software engineering and testing.

Coursework is complemented by seminars on security policy, ethics and human factors, and by project‑based modules. A capstone or practicum project is central to the curriculum: students apply methods and tools to a substantial real‑world problem, often in collaboration with industry partners, campus research centres or public-sector groups. Electives allow specialisation in areas such as privacy engineering, embedded and IoT security, cyber‑physical systems, incident response, or intelligence analysis.

• Core topics: cryptography, systems and network security, secure software development, threat modelling
• Quantitative methods: statistics for security, machine learning and adversarial ML
• Applied work: labs, hands‑on exercises, capture‑the‑flag style problems, capstone practicum
• Policy and human factors: security governance, ethics, privacy law and organisational risk
• Optional specialisms: IoT and embedded security, cloud security, privacy engineering

Entry requirements

Applicants are normally expected to hold a good undergraduate degree in a relevant discipline such as computer science, electrical engineering, mathematics, physics or another quantitative field. Strong applicants without a directly related degree but with significant relevant work experience or demonstrable technical skills may also be considered.

Typical application components include academic transcripts, a CV, a personal statement describing motivations and relevant experience, and letters of recommendation. Competence in programming and basic knowledge of computer systems, data structures and probability/statistics are expected; applicants with gaps may be advised to complete preparatory coursework. Admissions may take a holistic view of professional experience, research potential and prior academic performance.

Career prospects

Graduates pursue technical and analyst roles across private, public and non‑profit sectors. Common early career destinations include roles as security engineers, applied researchers, vulnerability analysts, incident response specialists, penetration testers, privacy engineers and cloud security architects. Some graduates move into data‑driven roles such as security data scientist or machine learning engineer focused on adversarial problems.

The programme also prepares graduates for policy and management paths: security policy adviser, risk manager, compliance officer or consultant roles in organisations that must align technical security with regulatory and organisational requirements. Those inclined to research may continue to doctoral study or join research labs in academia, industry or government.

Why study at University of Chicago

The University of Chicago offers an interdisciplinary environment that bridges rigorous technical training with attention to policy, ethics and social impact. Students benefit from access to campus research institutes and centres that foster cross‑disciplinary collaboration, as well as faculty who combine expertise in computer science, statistics, systems engineering and public policy.

The programme emphasises hands‑on learning and close mentorship, with opportunities to work on applied projects supported by industry partners and local tech organisations. Located in a major metropolitan area, the university provides networking and internship opportunities with commercial firms, startups and government entities engaged in security and technology. The academic culture emphasises critical thinking and rigorous problem framing, preparing graduates to tackle complex security challenges in a range of professional contexts.