Cost & earnings at University of Colorado Boulder What students borrow here, and what they go on to earn
The Master’s in Information Science at the University of Colorado Boulder is an interdisciplinary graduate programme that develops technical, analytical and human-centred skills for managing, interpreting and designing information systems. It suits students who wish to work at the intersection of data, people and technology — including careers in data science, user experience, information architecture and research-focused roles.
The programme combines coursework in computing and data methods with classes on human-centred design, information policy and research methods. Core topics typically include data management and databases, information retrieval, machine learning for information systems, human–computer interaction (HCI), usability and user research, information architecture, and privacy and ethics in information technologies.
Students normally choose between a thesis or project/capstone route. The thesis route emphasises original research and is suitable for those considering doctoral study or research roles. The project or practicum route focuses on applied work with industry partners, producing a portfolio-ready solution or evaluation report. Electives allow specialisation in areas such as data visualisation, natural language processing, recommender systems, social computing, and systems design.
Applicants are expected to hold a recognised bachelor’s degree. A degree in computing, information science, engineering, mathematics, statistics, psychology or a related field is typically preferred, though applicants with professional experience and evidence of quantitative and technical preparation will also be considered.
Common application components include an academic transcript, a statement of purpose describing research or career goals, a current CV or résumé, and letters of recommendation. Some applicants may be asked to demonstrate prior programming or quantitative experience; preparatory coursework or a short preparatory module may be recommended for candidates without a technical background.
International applicants must demonstrate English-language proficiency through an approved test unless exempt. GRE requirements vary over time and by cohort; applicants should check the programme’s official admissions pages for current testing policies and any additional portfolio or interview procedures.
Graduates enter a broad set of roles across industry, government and research. Typical job titles include data scientist, data analyst, machine learning engineer, UX researcher, UX designer, information architect, product manager (information-focused products), information policy analyst and research associate. The combination of technical and user-centred training is also valued in roles that bridge engineering and design teams, such as interaction designer or design technologist.
Alumni also go on to PhD programmes in information science, human–computer interaction, computer science or related social science fields. The programme’s emphasis on applied projects and internships helps graduates develop a practical portfolio that supports transitions into industry or the public sector.
University of Colorado Boulder offers an interdisciplinary environment where information science students can work with faculty across computer science, engineering, social sciences and design. The campus benefits from strong regional industry links in the Boulder–Denver tech corridor, providing access to internships, start‑ups and established technology firms.
Students gain hands‑on experience through practicum projects, research labs and collaboration opportunities, and can take electives across related departments to tailor their learning. The university’s mountain campus and research facilities also support an active community and numerous student groups focused on data science, HCI and entrepreneurship.
Overall, the programme combines rigorous technical training with human-centred perspectives and applied experience, preparing graduates for roles that require both analytical depth and an understanding of how people interact with information systems.
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