University of Michigan–Flint

What you'll study

The programme combines core computing and information studies with applied coursework in data, systems and human-centred design. You will build skills in programming, database design, information retrieval, data analysis and network fundamentals while also studying information ethics, policy and user experience.

• Core technical modules: introduction to programming, data structures and algorithms, database systems, web development, operating systems and networking fundamentals.
• Information and data modules: information retrieval, data analytics and visualisation, information organisation and metadata, research methods and statistics for information science.
• Human-centred and professional modules: human–computer interaction, usability and user experience design, information policy and ethics, project management.
• Security and infrastructure: fundamentals of information security, privacy, cloud concepts and systems integration.
• Capstone and experiential learning: a senior capstone project or practicum with a real client or an internship placement that emphasises applied problem solving and teamwork.

The curriculum emphasises hands-on labs, applied projects and opportunities to work with local organisations in Flint and the wider region. Electives allow specialisation in areas such as data analytics, information architecture, or cybersecurity.

Entry requirements

Applicants are typically expected to hold a high-school diploma (or equivalent) with demonstrated academic achievement. Strong preparation in mathematics and analytical subjects at secondary level is recommended; prior coursework in computer science or information technology is advantageous but not always required. The University of Michigan–Flint considers applications from transfer students with appropriate college-level credits or an associate degree.

International applicants must demonstrate English-language proficiency through recognised tests or institutional alternatives. Candidates may be asked to provide transcripts, a personal statement outlining interest in information science, and references; relevant work experience or portfolio materials can strengthen an application.

Career prospects

Graduates enter roles that combine technical skills with information management and user-focused design. Typical entry-level jobs include:

• Data analyst or junior data scientist — analysing datasets and producing reports or visualisations.
• Systems or business analyst — evaluating and improving information systems for organisations.
• Database administrator or developer — designing, building and maintaining data stores and queries.
• User experience (UX) designer or usability specialist — conducting user research and shaping interfaces.
• IT support and network technician roles — maintaining infrastructure and resolving technical issues.

With experience or further study, graduates progress to roles in information architecture, cybersecurity, data engineering, IT consulting, product management or academic and research careers. The programme’s practicum and capstone components help build portfolio work and local industry connections that aid job placement.

Why study at University of Michigan–Flint

University of Michigan–Flint offers a focused, student-centred environment with smaller class sizes and close access to faculty who combine academic and professional experience. The campus maintains connections with businesses, healthcare organisations and public institutions in Flint and the broader Detroit metropolitan area, creating opportunities for internships, practicum projects and applied research.

Resources that support Information Science students include hands-on computing labs, career services, and project-focused coursework that emphasises communication and teamwork. For students seeking a practical, community-connected education in information and data, UM–Flint provides a programme designed to develop both technical competence and real-world problem-solving skills.