Northern Arizona University

What you'll study

The programme emphasizes applied topics across modern computing disciplines. Coursework typically covers advanced algorithms, software engineering and design, databases and data management, machine learning and data mining, computer networks and distributed systems, cybersecurity principles and cloud computing. Students undertake substantial project work — either a capstone applied project or a research/thesis option — that integrates classroom learning with practical development, deployment or experimental evaluation.

• Core areas: advanced programming techniques, algorithm analysis, software architecture and engineering practices.
• Data and analytics: databases, data mining, machine learning and big-data processing.
• Systems and infrastructure: operating systems, networking, cloud and parallel computing.
• Security and reliability: applied cybersecurity, secure coding and system hardening.
• Capstone options: industry-linked practicum, collaborative software project, or thesis for students pursuing research.

Entry requirements

Applicants are expected to hold a bachelor’s degree in computer science, computing-related discipline, or a closely related technical field. Candidates should demonstrate foundational knowledge in programming, data structures, discrete mathematics and computer systems. Admissions typically require official transcripts, a statement of purpose, a current resume or CV, and letters of recommendation.

Additional considerations include prior coursework or experience in software development and quantitative subjects; applicants missing specific prerequisites may be offered conditional admission with required bridge coursework. Standardised tests are not always required but may be requested in some cases. International applicants must meet the university's English language proficiency requirements.

Career prospects

Graduates are prepared for a wide range of technical and applied computing roles in industry, government and research. Typical job titles include software engineer, application developer, data analyst or data scientist, machine learning engineer, systems architect, cloud engineer and cybersecurity analyst. The programme’s project focus and industry-aligned curriculum also support roles in product development, DevOps, database administration and technical leadership. Graduates who opt for the research/thesis route are positioned to continue to doctoral study or R&D roles.

Why study at Northern Arizona University

Northern Arizona University offers an environment with smaller class sizes and accessible faculty who balance academic research with applied, industry-relevant expertise. The university provides hands-on lab facilities, opportunities for team-based capstone projects and connections to regional tech employers in Flagstaff, Phoenix and beyond. Flexible delivery options, including on-campus and extended-campus formats, make the programme suitable for working professionals. The campus setting and ties to local industries support internship opportunities and practical collaborations that help translate learning into career outcomes.