Saint Martin's University

What you'll study

The Applied Computer Science master's emphasises applied skills and project-based learning. Core topics typically include advanced algorithms, software engineering and architecture, databases and data management, machine learning and data mining, computer networks and security, and software project management. Students also study research methods and professional issues in computing, with opportunities to explore electives in areas such as cloud computing, human–computer interaction, embedded systems, and cybersecurity.

The programme culminates in a substantial applied capstone project or practicum with a real-world partner or an industry-focused research project supervised by faculty. Coursework combines lectures, laboratory work in programming and networking labs, team software projects, and seminars that develop technical communication and professional skills.

Entry requirements

Applicants are normally expected to hold a bachelor's degree in computer science, information technology or a closely related discipline. Candidates with degrees in other subjects may be considered if they can demonstrate competent preparation in programming, discrete mathematics and undergraduate-level computing fundamentals, or relevant professional experience.

• Academic transcripts demonstrating satisfactory undergraduate performance.
• A statement of purpose outlining academic and professional goals and suitability for the applied focus of the programme.
• One or two academic or professional references.
• Evidence of programming ability and mathematical preparation; applicants without formal background may be required to complete preparatory coursework.
• International applicants must meet the university's English language proficiency requirements.

Saint Martin's admissions may also consider relevant work experience in lieu of formal prerequisites for experienced professionals. The programme welcomes both recent graduates seeking to deepen technical skills and mid‑career professionals aiming to transition into advanced technical roles.

Career prospects

Graduates from this programme are prepared for a wide range of technical and engineering roles in industry, government and non-profit sectors. Typical career paths include software developer or engineer, data scientist or analyst, machine learning engineer, systems architect, cybersecurity analyst, cloud solutions engineer and IT project manager. The applied capstone experience also positions graduates for roles that require practical systems integration, deployment and collaboration with cross-functional teams.

Alumni may also choose to continue into doctoral study or professional research roles, particularly if they pursue research-oriented electives and faculty collaborations during the programme. The combination of hands-on projects and theoretical grounding makes graduates attractive to regional technology firms, startups, consultancy practices and organisations requiring complex software and data solutions.

Why study at Saint Martin's University

Saint Martin's offers a personalised learning environment with small class sizes and close faculty mentorship, which benefits students undertaking applied projects. The university's location in the Pacific Northwest provides proximity to a vibrant regional tech ecosystem, enabling local industry partnerships, internship opportunities and guest collaboration from practitioners.

The programme is delivered with an emphasis on ethical practice and professional responsibility, reflecting the university's Benedictine values. Students gain access to well-equipped labs, collaborative workspaces and faculty with experience in industry and applied research. Support services for graduate students include career advising, help with internship placement and opportunities to present and publish applied work.

Overall, Saint Martin's combines practical, project-led learning with a community-oriented campus to prepare students for immediate contributions in technical roles and for continued professional growth.