Oregon State University

What you'll study

This programme blends core topics in algorithms, software and systems with advanced mathematics and computational modelling. Students take coursework across areas such as algorithms and complexity, machine learning, numerical analysis, optimisation, probability and statistics, scientific computing and parallel programming. Typical modules include algorithm design and analysis, statistical learning, numerical linear algebra, computational PDEs, optimization methods, high-performance computing, and courses in discrete mathematics and graph theory.

The degree normally offers both coursework and research-track options. Coursework students focus on advanced electives and project-based classes that build practical skills in software development, data analysis and system design. Research-track students undertake a substantial thesis or project under faculty supervision, often tied to ongoing research in areas such as artificial intelligence, computational science, data analytics, cryptography or networked systems.

Entry requirements

Applicants are expected to hold a recognised bachelor’s degree in computer science, mathematics, applied mathematics, engineering or a closely related field. Strong applicants demonstrate competency in core undergraduate topics such as programming, data structures and algorithms, calculus and linear algebra. Departments typically look for a solid academic record and evidence of quantitative and programming ability.

Applications normally include official transcripts, a statement of purpose outlining research interests or professional goals, and letters of recommendation. International applicants must meet English language proficiency requirements. Some applicants without formal CS degrees may be admitted conditionally if they can show equivalent preparation through prior coursework or professional experience; additional preparatory courses may be required.

Career prospects

Graduates from this interdisciplinary programme are well placed for technical roles that require both rigorous mathematical reasoning and advanced computing skills. Common career paths include data scientist or machine learning engineer, software engineer, research scientist in industry or government, quantitative analyst, and computational scientist in domains such as climate modelling, bioinformatics and finance. Many students also progress to PhD programmes when they pursue research-focused study during the master’s.

Oregon State’s emphasis on project work and collaboration with research groups and industry partners helps graduates build practical portfolios and professional networks in the Pacific Northwest and beyond.

Why study at Oregon State University

Oregon State University combines a large, research-active computer science and mathematics faculty with interdisciplinary centres and high-performance computing resources. The School of Electrical Engineering and Computer Science and the Department of Mathematics foster collaboration across AI, data science, scientific computing and optimisation, giving master’s students access to diverse research projects and lab facilities.

OSU offers flexible delivery pathways, including on-campus and online options, which can suit working professionals and remote learners. The university’s location and industry partnerships provide opportunities for internships and collaborations with technology, research and engineering employers in the region. For students seeking both deep theoretical training and practical computing experience, Oregon State provides a supportive environment with mentoring, career services and connections to research-active faculty.