Roger Williams University

What you'll study

This applied master's balances core theoretical foundations with practical, project-based learning. Typical modules cover advanced algorithms and data structures, software engineering and architecture, database systems, machine learning and data analytics, computer networks and cybersecurity, and cloud and distributed computing. Students choose elective modules to tailor the degree — examples include natural language processing, computer vision, mobile and web application development, and high-performance computing.

The programme commonly offers a capstone or practicum in which students complete an industry-aligned project or internship; a research thesis or independent study option is often available for those interested in deeper investigation. Coursework emphasises programming in contemporary languages and frameworks, systems design, testing and deployment, and the use of modern tools for data management and DevOps.

Entry requirements

• Bachelor's degree from a recognised institution, typically in computer science, information technology, engineering or a closely related field. Applicants with degrees in other disciplines may be considered if they can demonstrate adequate computing background through coursework or professional experience.
• Academic transcript showing satisfactory performance at undergraduate level. Admissions panels look for preparation in key areas such as programming, discrete mathematics, data structures and computer systems.
• Supporting documents: a statement of purpose outlining objectives and relevant experience, a current CV or résumé, and usually one or more letters of recommendation.
• English language proficiency for international applicants (accepted tests or institutional exemptions apply).
• Some applicants may be required to complete prerequisite or bridge modules if they lack foundational computing coursework; these are intended to bring students up to the level required for graduate study.

Career prospects

Graduates leave prepared for a range of technical and leadership roles in industry, public sector and startups. Common job titles include software developer or engineer, data scientist/analyst, systems or DevOps engineer, cybersecurity analyst, machine learning engineer, and database administrator. The programme's applied focus also supports careers in product development, cloud architecture and IT consultancy.

Alumni may progress into managerial positions or continue to doctoral study; those completing the project or practicum often move directly into roles with partner companies or secure internships that lead to employment. The combination of technical depth and practical experience makes graduates attractive to employers across finance, healthcare, defence, manufacturing and technology services.

Why study at Roger Williams University

• Small class sizes that enable close interaction with faculty and personalised mentoring from instructors with both academic and industry experience.
• An applied curriculum emphasising hands-on projects, real-world problem solving and opportunities for internships or capstone work with local and regional employers.
• Access to modern computing facilities and supportive services including career guidance, internship placement assistance and networking events with regional tech companies.
• A campus environment that supports interdisciplinary collaboration with engineering, business and design programmes, useful for students pursuing cross-cutting applications of computing.