University of Arizona

What you'll study

This programme blends core computer science topics with information science and applied study. Common core subjects include algorithms and data structures, software engineering, databases and operating systems. Information-focused modules cover information retrieval, human–computer interaction, information organisation and metadata, information policy and ethics.

Students typically choose from a range of elective topics to tailor the degree to their interests: machine learning and data mining, natural language processing, data visualisation, cybersecurity fundamentals, cloud and distributed systems, and usability testing. The programme is offered with both thesis and project/capstone options: the thesis route emphasises original research, while the capstone route focuses on applied projects in collaboration with industry or campus research groups. Coursework is delivered through lectures, labs and seminar-style research methods classes, and most students complete a significant applied or research project in their final year.

Typical modules and learning activities

• Algorithms and Advanced Programming
• Databases & Information Management
• Machine Learning and Data Mining
• Human–Computer Interaction and Usability
• Information Retrieval and Recommender Systems
• Information Policy, Ethics and Privacy
• Cloud Computing and Distributed Systems
• Research Methods, Design and Evaluation

Entry requirements

Applicants are normally expected to hold a recognised bachelor’s degree in computer science, information science, software engineering or a closely related discipline. Candidates with strong quantitative or technical backgrounds from other fields (mathematics, statistics, engineering) may also be considered if they demonstrate programming ability and relevant coursework.

Typical application components include official transcripts, a personal statement outlining academic and professional goals, a CV or résumé, and one or more letters of recommendation. Prospective students whose first language is not English will need to provide proof of English proficiency through an approved test, unless exempted by university policy. Some applicants may be invited to provide samples of previous work or attend an interview. Where required by the department, standardised test scores (for example the GRE) may be considered but policies vary so applicants should check current departmental guidance.

Relevant professional experience can strengthen an application, particularly for candidates seeking the project-based or professional master’s option. International applicants should allow time to meet visa and documentation requirements.

Career prospects

Graduates of this programme enter a broad range of technical and applied roles. Common career paths include data scientist, machine learning engineer, software engineer, information architect, UX researcher or designer, systems analyst, and cybersecurity specialist. The combination of computing and information science also prepares graduates for roles in product management, technical consultancy and technology policy advising.

Those interested in research or doctoral study can progress to PhD programmes in computer science, information science or related interdisciplinary areas. Many graduates find employment with local and national technology companies, health and biosciences organisations, government and public sector bodies, and startups, or move into research positions within university centres and labs.

Why study at University of Arizona

The University of Arizona offers an interdisciplinary environment with access to computing and information research across campus. Students can work with faculty engaged in areas such as artificial intelligence, data science, human–computer interaction and cybersecurity, and benefit from research centres and cross‑disciplinary collaborations.

The university provides practical resources that support applied learning: modern computing and user‑experience labs, high‑performance computing facilities, and opportunities to participate in funded research projects. Proximity to a growing regional technology ecosystem and established industry partners helps students secure internships and project placements. The university’s graduate support services — including career development, entrepreneurship programmes and research training — help translate technical skills into professional opportunities or further academic study.