Idaho State University

What you'll study

The programme combines core computing skills, information theory and applied projects to give a broad foundation in how information is collected, stored, retrieved and used. Typical areas of study include:

• Foundations of computing — introduction to programming, data structures and algorithms that underpin applied information work.
• Databases and information systems — relational and nonrelational data models, database design, query languages and data integration.
• Information retrieval and search — indexing, search architectures, metadata and techniques for finding and ranking information.
• Data analysis and visualisation — basic statistics, exploratory data analysis, and visual methods for communicating findings.
• Human–computer interaction and user experience — usability principles, user research, interface design and evaluation.
• Networks and web technologies — fundamentals of networking, web development and APIs relevant to information access.
• Information policy, ethics and law — privacy, intellectual property, information governance and ethical issues in data use.
• Systems analysis and project management — requirements gathering, systems design, lifecycle models and teamwork skills.
• Capstone or practicum — a culminating project or internship applying programme skills to a real-world information problem.

The degree typically combines general education requirements with major core courses and elective options, allowing students to tailor study toward areas such as health informatics, data analytics, or user-centred design.

Entry requirements

Applicants are expected to hold a completed high school diploma (or equivalent) with a record of college-preparatory coursework. Admissions commonly consider cumulative GPA, preparation in mathematics (for example algebra or pre-calculus), and prior science or computer coursework where available. Some useful preparation includes an introductory programming course or experience with data tools, though these are usually recommended rather than mandatory.

Transfer students from community colleges are evaluated on college transcripts and transfer credit; applicants should consult Idaho State University admissions for details about credit articulation. International applicants must meet the university's English language proficiency requirements.

Career prospects

Graduates of an information science degree move into a variety of roles where managing and making sense of information is central. Common career paths include:

• Data analyst or junior data scientist — preparing and analysing datasets to support decision-making.
• Information systems analyst or business analyst — specifying and improving information workflows and systems.
• Database administrator or developer — designing and maintaining data repositories and query systems.
• User experience (UX) researcher or designer — creating and testing interfaces that improve information access.
• Information governance or records management roles — developing policies and practices for data stewardship and compliance.
• Technical roles in healthcare, government or industry — applying information science to domain-specific problems such as health informatics, digital libraries or geographic information.

Many graduates also pursue further study in computing, library and information science, data science or related professional programmes.

Why study at Idaho State University

Idaho State University offers a practical, student-focused environment with opportunities for hands-on learning through labs, projects and internships with regional employers. The programme emphasises applied skills that are directly relevant to workplace needs, and students benefit from relatively small class sizes and accessible faculty mentorship.

Students can take advantage of campus computing and research facilities, seek internships in the surrounding region, and connect with interdisciplinary departments across the university to tailor their studies toward areas such as healthcare, public sector information or analytics. The curriculum is designed to prepare graduates for immediate entry into technical and information roles or for continued graduate study.