Chapman University

What you'll study

The programme focuses on core computer science foundations combined with applied, project-based learning. Typical modules cover algorithms and data structures, software engineering and design, databases and information management, computer systems and networks, and machine learning or artificial intelligence. Students also study applied topics such as cloud computing, cybersecurity fundamentals, mobile and web application development, and data analytics depending on elective choices.

Coursework is usually complemented by hands-on practicum elements: laboratory sessions, team software projects, industry-oriented assignments and a culminating capstone or practicum project that requires designing and delivering a substantial software or data-driven solution. Elective options and seminars let students tailor the degree toward areas such as machine learning, secure systems, human–computer interaction or enterprise software.

Typical modules

• Algorithms and Advanced Data Structures
• Software Engineering and Project Management
• Database Systems and Data Management
• Operating Systems and Computer Networks
• Machine Learning and Applied AI
• Cybersecurity Concepts and Practices
• Cloud Computing and Distributed Systems
• Capstone Project or Practicum

Entry requirements

Applicants are normally expected to hold a bachelor's degree from a recognised institution, ideally in computer science, software engineering, information systems, mathematics or a related technical field. Candidates with strong quantitative backgrounds and relevant programming experience but from other disciplines may be considered.

Typical application components include a personal statement explaining professional and academic goals, an up-to-date CV, academic transcripts and one or more letters of recommendation. Some applicants may be asked to demonstrate programming proficiency through prior coursework, work experience or a short coding assignment. International applicants must satisfy English language proficiency requirements.

Career prospects

Graduates from this applied master's are prepared for a broad range of industry roles. Common career paths include software engineer or developer, systems architect, data analyst or data scientist, machine learning engineer, cloud or DevOps engineer, and cybersecurity analyst. The practical, project-led nature of the programme also supports graduates pursuing technical product management, technical consulting or internships that lead to full-time positions.

Alumni frequently find employment with technology companies, startups, consulting firms, healthcare and financial services organisations, and public-sector employers across the Southern California region and beyond. The degree also provides a solid foundation for those who later choose to pursue doctoral study in computing disciplines.

Why study at Chapman University

Chapman offers small class sizes and close interaction with faculty, enabling personalised mentorship and accessible research or project supervision. The university emphasises experiential learning, so students benefit from lab-based work, industry projects and a capstone that showcases practical skills to employers.

Located in Orange County within easy reach of the Los Angeles tech and entertainment economies, Chapman provides local industry connections and internship opportunities. The university’s career services and alumni network support students in job search and professional development. Interdisciplinary collaboration opportunities across departments allow students to combine computing study with domains such as business, media arts or cognitive science.