University of Minnesota

What you'll study

The programme combines core computing and quantitative courses with social science and design perspectives on information. Typical modules cover programming fundamentals and data structures, databases and information retrieval, statistics and data analysis, human–computer interaction and user-centred design, information architecture, systems and networks, and the social and ethical implications of technology.

Students also take project-based courses and labs that emphasise practical skills — for example, web and mobile application development, data visualisation, usability testing and applied machine learning for information problems. Most students complete a senior capstone or practicum in which they design, build and evaluate an information system or carry out an applied research project in collaboration with faculty, community partners or industry sponsors.

Entry requirements

Applicants are expected to hold a high-school diploma or equivalent with a strong academic record. Competitive candidates typically demonstrate proficiency in mathematics and some exposure to computing or related coursework.

Typical preparation includes courses in algebra/calculus, statistics, and either computer science, information technology or another quantitative subject. The University of Minnesota also considers personal statements, recommendation letters and extracurricular activities that show an interest in technology, problem solving or design. For international applicants, evidence of English language proficiency is required.

Career prospects

Graduates enter a broad range of roles across technology, government, non-profit and commercial organisations. Common career paths include data analyst, UX/UI designer, information architect, systems analyst, product manager, software developer and information policy or research roles.

The programme’s combination of technical, analytical and human-centred coursework prepares students for further study in areas such as information science, computer science, human–computer interaction, data science or library and information science, as well as for professional certifications and careers that require interdisciplinary problem-solving skills.

Why study at University of Minnesota

The University of Minnesota offers a research-rich environment with strong links to industry, public sector organisations and a vibrant regional tech ecosystem. Students benefit from interdisciplinary collaboration across departments, access to well-equipped labs and centres, and opportunities for internships and experiential learning in the Twin Cities area.

Faculty combine research expertise in areas such as data science, human–computer interaction and information policy with a commitment to undergraduate teaching. The university’s career services and alumni network also support students in securing internships and graduate opportunities, while capstone projects and community partnerships provide practical experience solving real information challenges.