Indiana University Bloomington

What you'll study

This degree covers the fundamentals of computing and information science alongside practical, project-based learning. Core topics typically include programming and software development, data structures and algorithms, discrete mathematics, computer systems and networking, and databases. Information science components emphasise human–computer interaction, information organisation, information retrieval and usability.

Students normally follow a curriculum that combines:

• Core computing modules – introductory and intermediate programming, data structures, algorithms, operating systems and computer architecture.
• Information science modules – information representation, human–computer interaction, information ethics, retrieval systems and metadata.
• Applied and specialised electives – software engineering, mobile and web development, databases, machine learning, data science, cybersecurity, and networking.
• Project work and capstone – team-based software projects or research-led capstone experiences that integrate technical and information-design skills.
• Practical learning – internships, practicum placements or industry partnerships that give real-world experience and professional context.
• General education – broadening courses from the university-wide core to develop communication, ethics and problem-solving skills.

Students can often tailor their pathway with minors or certificates, pursue undergraduate research with faculty in the Luddy School of Informatics, Computing, and Engineering, and take advantage of interdisciplinary options across business, cognitive science and the arts.

Entry requirements

Typical entry to this bachelor's programme requires a completed secondary education credential equivalent to a high school diploma. Admissions are competitive and consider academic achievement in core subjects, particularly mathematics.

• Academic background – strong performance in mathematics; previous study in computer science or related subjects is advantageous but not always required.
• Recommended preparation – coursework in algebra, precalculus or calculus, and introductory programming where available.
• Supporting documents – academic transcripts, a personal statement or essay, and letters of recommendation may be requested.
• Standardised tests – the university has adopted flexible policies regarding standardised testing; applicants should check the current guidance for test submission.
• International applicants – proof of English language proficiency is usually required unless exempt; certified transcripts and credential evaluations are typically requested.
• Transfer and non-traditional applicants – transfer credit from accredited institutions is considered; portfolios or evidence of relevant work experience can strengthen an application for mature students.

Career prospects

Graduates move into a wide range of technical and interdisciplinary roles. The combination of computing fundamentals and information-centred study prepares students for positions that require both programming competence and an understanding of how people use information.

• Software developer or engineer
• Data analyst, data engineer or machine learning specialist (with additional data science study)
• Systems analyst, database administrator or cloud engineer
• User experience (UX) designer, usability researcher or information architect
• Cybersecurity analyst and IT security roles
• Product manager, technical consultant or IT project manager
• Further study — graduate degrees in computer science, information science, data science or related fields

Internships, campus career services and industry partnerships at Indiana University help students build professional networks and portfolios that support job entry and career progression.

Why study at Indiana University Bloomington

Indiana University Bloomington houses the Luddy School of Informatics, Computing, and Engineering, which brings together computing, informatics and design under a single faculty. The school emphasises interdisciplinary research and hands-on learning, offering access to research labs, centres and collaborative projects across campus.

• Research and facilities – opportunities to work with faculty on research in areas such as data science, human–computer interaction, cybersecurity and artificial intelligence.
• Industry connections – partnerships and internship pipelines with technology employers, startups and regional organisations that provide practical experience.
• Student support – dedicated career services, academic advising, coding clubs and hackathons that help develop technical skills and employability.
• Interdisciplinary opportunities – easy collaboration with departments such as business, cognitive science, public affairs and the arts to broaden career options and perspectives.

Overall, the programme is designed for students who want a rigorous computing education framed by an understanding of how information is created, organised and used in real contexts.