Seattle University

What you'll study

The programme emphasises applied, industry‑relevant computing through a mix of core courses, electives and a culminating project or practicum. Core topics typically cover advanced programming and software engineering practices, algorithms and data structures, systems and networking, databases, and foundations of computing. Elective options commonly include machine learning and artificial intelligence, data science and analytics, cloud and distributed systems, cybersecurity, human‑computer interaction, and mobile or web application development.

Instruction is largely based on lectures, laboratory work and team projects. Students normally complete a substantial applied capstone project or practicum that integrates technical design, implementation and testing, often developed in collaboration with a local company or as part of faculty‑supervised research. Coursework emphasises software development lifecycle, engineering best practice, testing, deployment, and the ethical implications of computing.

Entry requirements

Applicants are expected to hold a recognised bachelor’s degree. A degree in computer science, software engineering, electrical engineering or a closely related field is preferred; applicants with other backgrounds may be considered if they can demonstrate sufficient programming and mathematical foundations.

• Academic background: Undergraduate coursework or demonstrable knowledge in programming, data structures and algorithms, discrete mathematics and basic calculus.
• Application materials: Official transcripts, a statement of purpose describing academic and career goals, a current résumé or CV, and references or letters of recommendation.
• English language: For applicants whose first language is not English, proof of English proficiency is required according to university policy.
• Additional considerations: Some applicants may be asked to complete prerequisite bridging courses or demonstrate competence via placement assessments. GRE scores are considered if submitted but are not universally required; consult the department for current practice.

Career prospects

Graduates of the programme typically move into technical roles in software development, systems engineering, data engineering and analytics, machine learning engineering, site reliability and cloud engineering, and cybersecurity. The applied focus and capstone experience prepare students to contribute immediately to product teams, engineering organisations and startups. Alumni also pursue further study at the doctoral level or transition into technical leadership and product engineering roles over time.

Seattle University’s location gives students regular access to internship and employment opportunities with major technology companies, established enterprises and a vibrant startup community, which can be pursued during the course or after graduation.

Why study at Seattle University

Seattle University offers a small‑class environment with close faculty‑student interaction and a curriculum that balances technical rigour with practical, project‑based learning. The university’s Jesuit tradition emphasises ethical reflection and social responsibility in technology, encouraging graduates to consider the societal impacts of computing.

Being situated in a major technology hub provides clear advantages: proximity to leading employers, networking opportunities, and frequent industry engagement through guest lectures, practicum partnerships and career services. The programme is designed for students who want professional preparation, hands‑on experience and connections to the broader regional tech ecosystem.