Syracuse University

What you'll study

The programme brings together computer science fundamentals and information science perspectives. Typical areas of study include algorithms and data structures, database systems and data management, machine learning and data analytics, software engineering, information retrieval, human–computer interaction, information architecture and privacy and security. Students encounter both theoretical material (for example, computation and algorithm analysis) and applied coursework (such as large-scale data systems, applied machine learning projects, and usability evaluation).

Instruction is delivered through a mix of lectures, laboratory classes and team-based projects. Most students choose between a coursework-only route and a project or thesis option; projects often address real-world problems in collaboration with faculty or external partners. Electives allow specialisation in areas such as data science, cybersecurity, user experience, or information policy and management.

Entry requirements

Applicants are normally expected to hold a recognised undergraduate degree in computer science, information science, engineering or a closely related discipline. Admissions typically consider academic transcripts, a statement of purpose that outlines your experience and goals, and one or more letters of recommendation. Work experience or a portfolio of relevant projects can strengthen an application, especially for applicants from non-traditional backgrounds.

International applicants must demonstrate English proficiency through an accepted test unless exempt. Some applicants may be asked to supply GRE scores, but requirements vary by intake and applicant profile. Admissions may specify prerequisite coursework in programming, discrete mathematics and basic statistics for applicants whose degrees did not include these subjects; such gaps can often be addressed through preparatory courses.

Career prospects

Graduates move into a wide range of technical and information-focused careers. Typical roles include software engineer, data scientist or analyst, systems architect, information architect, user experience researcher or designer, and cybersecurity analyst. The programme also provides a foundation for roles in product management, IT consulting, and information governance.

Alumni work in private-sector technology and finance firms, government and public-sector organisations, healthcare and education, and with non-profits. The degree also supports students who wish to continue to doctoral study or research careers in academia and industry research labs.

Why study at Syracuse University

Syracuse University offers an interdisciplinary environment that brings together computing, information studies and domain-focused research. Students benefit from applied learning opportunities, faculty who are active in research across data science, HCI, and information policy, and access to university resources such as computing labs and career services.

The university emphasises experiential learning — through team projects, internships and collaboration with external partners — helping students build practical portfolios and industry connections. Located in a region with a mix of local employers and access to larger tech markets, Syracuse supports professional development with internship placement services and employer networking events.

Overall, the programme is designed for students who want a balance of rigorous computing training and an understanding of how information is organised, accessed and used in real-world settings.