Seattle University

What you'll study

The programme combines core foundations in information science with elective options so you can tailor study toward data, design or managerial pathways. Typical core topics include information retrieval, database and data modelling, research methods, information ethics and policy, and human–computer interaction. Students also study applied subjects such as data visualisation, metadata and knowledge organisation, information architecture, usability testing and introductory machine learning for information tasks.

Programme structure usually consists of a set of required core courses, a choice of electives, and a culminating experience: either a capstone project with a community or industry partner, a practicum/internship, or a research thesis. Coursework emphasises hands-on projects, team work and real-world datasets so graduates can demonstrate practical skills in addition to conceptual understanding.

Typical modules

• Information Retrieval and Search Systems
• Databases and Data Management
• Human–Computer Interaction and Usability
• Information Policy, Ethics and Privacy
• Data Visualisation and Communication
• Metadata, Taxonomies and Knowledge Organisation
• Research Methods for Information Professionals
• Capstone Project or Practicum

Entry requirements

Applicants are normally expected to hold a recognised undergraduate degree in any discipline, though coursework or experience in computing, statistics, social sciences or a related field is advantageous. Typical requirements include a competitive undergraduate GPA, a current CV or résumé, a statement of purpose outlining professional goals and fit with the programme, and one or two academic or professional references.

Some applicants may be asked to demonstrate quantitative or technical preparation through prior coursework or by completing prerequisite modules. Standardised tests are not always required; consult the programme for its current policy. International applicants must meet the university's English language proficiency standards, typically via accepted tests or approved exemptions.

Career prospects

Graduates enter a broad range of roles that bridge people, information and technology. Common job titles include data analyst, information architect, UX researcher/designer, systems analyst, knowledge manager, digital librarian and product analyst. The programme’s applied projects and practicum options help build a portfolio of work useful for positions in technology companies, civic and cultural institutions, healthcare, higher education and consulting.

Alumni also pursue specialised pathways such as information governance, data stewardship, content strategy and information security roles that require combining policy understanding with technical and analytical skills. Graduates frequently move into roles that involve cross-functional collaboration with engineering, design, product and business teams.

Why study at Seattle University

Seattle University offers a small‑group learning environment with an emphasis on ethical practice and social responsibility rooted in the university’s Jesuit tradition. Classes are taught by faculty who combine academic expertise with industry and applied research experience, and the curriculum places particular emphasis on human‑centred approaches to information problems.

Located in the Seattle region, the programme benefits from proximity to a dense technology and nonprofit ecosystem, creating opportunities for internships, capstone partnerships and networking with local employers. Career services, mentorship and experiential learning pathways are integrated to support professional transitions and career development.