City University of Seattle

USA
1 Scholarships 28 Programs 3 Degree levels
Masters

Master's in Computer Science

DegreeMasters
FieldComputer Science.
B

Cost & earnings at City University of Seattle What students borrow here, and what they go on to earn

You borrow $25,000 median federal debt
You repay $284/mo over 10 years
Graduates earn $69,460 10 yrs after entry
Debt clears in 0.8 yrs of the salary premium
US Department of Education figures See the full breakdown →

The Master of Science in Applied Computer Science at City University of Seattle is a professionally oriented programme that emphasises practical software development, systems design and data-driven problem solving. It suits students and early-career professionals seeking hands-on skills, a capstone project experience and flexible delivery options to move into advanced technical roles or specialise within computing.

What you'll study

The programme combines a core of advanced computing foundations with applied electives and a project-based capstone. Core topics commonly include algorithms and data structures, operating systems and networking, databases and information management, software engineering and systems architecture, and principles of secure computing. Students also study applied areas such as machine learning and data analytics, cloud computing and distributed systems, mobile and web application development, and cybersecurity, depending on elective choices.

Typical structure is a mix of required core courses, a selection of electives to build specialisation, and a culminating capstone or practicum project where students apply tools and methods to a real-world or industry-oriented problem. Coursework emphasises programming in multiple languages, software lifecycle practices, system design, performance trade-offs and the use of modern developer tooling and cloud platforms.

  • Core modules: Advanced Algorithms, Software Engineering and Architecture, Databases and Data Management, Operating Systems and Networking, Secure Systems.
  • Sample applied electives: Machine Learning and AI Applications, Cloud and Distributed Systems, Cybersecurity Practices, Big Data Analytics, Mobile and Web Development, DevOps and Automation.
  • Culminating experience: Team or individual capstone project, practicum with an industry partner or a substantial research/application-led project.

Entry requirements

Applicants are normally required to hold a bachelor’s degree from an accredited institution, preferably in computer science, software engineering, information technology, mathematics or a closely related field. Candidates with degrees in other disciplines may be considered if they can demonstrate foundational computing skills through prior coursework, professional experience, or by completing preparatory bridge courses.

Typical application materials include an official transcript, a current CV or résumé showing relevant experience, a personal statement outlining academic and professional goals, and contact information for academic or professional references. Standardised test requirements (such as the GRE) may be optional depending on background. International applicants must demonstrate English language proficiency through an accepted qualification unless exempt.

Career prospects

Graduates are prepared for a wide range of technical and leadership roles in industry, public sector and startups. Common career paths include software developer or engineer, systems architect, data engineer or data scientist, machine learning engineer, DevOps engineer, cloud engineer, cybersecurity analyst, and IT consultant or project lead. The applied and project-oriented nature of the programme also benefits graduates pursuing roles that require rapid prototyping, system integration and working across full development lifecycles.

Alumni frequently move into positions with software companies, cloud service providers, financial services, healthcare technology, government IT, and technology consultancies, or continue to doctoral study or professional certifications to deepen specialisation.

Why study at City University of Seattle

City University of Seattle is known for career-focused computing programmes with flexible delivery options including evening and online classes suited to working professionals. The university emphasises practical, project-based learning and close ties to regional industry, enabling collaboration opportunities, practicum placements and capstone projects that reflect employer needs.

Students benefit from faculty with industry experience, access to modern computing labs and cloud resources, and a curriculum designed to balance foundational theory with applied skills. The programme’s structure supports part-time study and professionals seeking to upskill or pivot into advanced computing roles while continuing to work.

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Programme details are indicative and may change — always verify current information with the official university website before applying.