Columbia University

What you'll study

The Information Science curriculum covers core computational foundations alongside data, systems and human-centred topics. Students typically complete a set of required courses in programming, data structures and algorithms, probability and statistics, and databases to establish technical fluency. Building on that foundation, electives and specialised courses explore machine learning, data mining, information retrieval, privacy and security, networks, and large-scale systems.

Human-centred and design-focused work is an essential strand: courses in human–computer interaction, user experience design, information architecture, and visualisation teach methods for designing, prototyping and evaluating interactive systems. Practical laboratory work, programming assignments and team projects are common, and most students undertake a senior capstone or substantial research project that integrates technical, analytic and design skills.

• Core topics: programming, algorithms, data structures, databases, probability and statistics
• Data and systems: machine learning, data mining, information retrieval, distributed systems
• Human-centred topics: HCI, UX design, visualisation, social and ethical implications of technology
• Practical experience: labs, project courses, internships and a senior capstone or undergraduate research

Entry requirements

Admission to Columbia is selective. Successful applicants normally present a strong secondary‑school academic record with substantial preparation in mathematics and quantitative subjects (for example calculus and statistics) and evidence of problem‑solving ability. Prior experience with programming or computing projects is advantageous but not strictly required; applicants are evaluated on the strength of their overall application, including academic transcripts, recommendations and personal essays.

International applicants should demonstrate proficiency in English and provide equivalent academic documentation. Transfer applicants are expected to show strong university‑level performance and to fulfil any course prerequisites required for the major. Exact admission criteria and procedures are set by the University and may vary by school within Columbia.

Career prospects

Graduates of Information Science are prepared for a broad range of roles where technical and analytic skills intersect with human and organisational concerns. Common career paths include software engineer, data scientist or analyst, UX or product designer, information architect, data engineer, and roles in product management. Graduates also enter fields such as information security, digital policy and consulting, or continue to postgraduate study in areas like computer science, data science, human–computer interaction and information studies.

Columbia’s location and industry connections provide access to internship and employment opportunities across technology firms, media organisations, financial services, healthcare and public sector institutions. Many students combine technical electives with internships to build relevant experience before graduation.

Why study at Columbia University

Columbia offers an interdisciplinary environment with access to faculty and research across computer science, engineering, the social sciences and the arts, enabling Information Science students to approach problems from multiple perspectives. The University’s research centres and institutes provide opportunities for undergraduate research and collaboration with faculty on cutting‑edge projects.

Being based in New York City gives students direct access to a dense ecosystem of technology companies, startups, cultural institutions and public organisations for internships, networking and applied projects. The programme emphasises both rigorous technical training and the social, ethical and design dimensions of information systems, preparing graduates to shape technology responsibly across a wide range of sectors.