University of Chicago

What you'll study

The Information Science curriculum blends core computing and quantitative methods with coursework on human-centred design, information management and the social context of information. Early modules typically cover programming fundamentals, data structures and algorithms, and introductory statistics. Core topics you can expect over the degree include databases and information retrieval, machine learning and data analysis, human–computer interaction, data visualisation, systems and networks, and courses on privacy, ethics and the societal impacts of information technology.

Students also take methods and theory courses drawn from the social sciences and humanities to understand organisational, legal and ethical dimensions of information. Most programmes include a senior capstone, practicum or research project that gives hands-on experience in designing, building or evaluating information systems. Electives and interdisciplinary options allow you to combine technical study with areas such as economics, psychology, law, public policy or the arts.

Entry requirements

Admission to the University of Chicago is competitive and assessed on academic achievement, preparation and intellectual promise. Typical entrants for Information Science will have a strong background in mathematics (including calculus or equivalent) and some familiarity with programming or computational thinking. Applicants submit a secondary-school diploma or equivalent, transcripts, and supporting materials through the university's undergraduate application process, together with personal essays and recommendations.

Successful applicants demonstrate quantitative aptitude, intellectual curiosity and the ability to engage with interdisciplinary material. Where available, applicants may strengthen their application with examples of coding projects, research, or relevant practical experience, but formal work experience is not required.

Career prospects

Graduates with a bachelor’s in Information Science move into a wide range of careers that require both technical skills and an ability to understand user needs and organisational context. Common early-career roles include data analyst, data scientist, software engineer, data engineer, user experience (UX) designer, product manager, information architect and research analyst.

Alumni also enter roles in policy, consulting, digital product teams, and applied research, or continue to graduate study in computer science, information science, data science, public policy or law. The combination of quantitative, technical and critical-analytical training makes graduates attractive to technology companies, financial services, healthcare organisations, government agencies and non-profit organisations.

Why study at University of Chicago

The University of Chicago emphasises rigorous enquiry and interdisciplinary learning, giving Information Science students a strong theoretical foundation alongside practical skills. The university offers access to research labs, cross-disciplinary centres and collaborations across departments—allowing students to pursue projects that connect computation with social science, design and policy.

Students benefit from close faculty mentorship, research opportunities as undergraduates and connections to Chicago’s diverse technology and research ecosystem. The curriculum’s balance of theory, methods and hands-on work prepares graduates to adapt to evolving information technologies and to contribute thoughtfully to technical and societal challenges.