Case Western Reserve University

What you'll study

The programme builds a grounding in core computer science topics and information sciences, typically through a mix of required core courses and elective specialisms. Core subjects include programming (introductory and advanced), data structures and algorithms, discrete mathematics, computer architecture and operating systems, and database systems. Information-focused modules cover database design, information retrieval, data management, human–computer interaction, and information ethics and policy.

• Software engineering and systems design, including team-based development and software project management
• Data science and machine learning fundamentals, with practical work in statistical modelling and data visualisation
• Computer networks, security and privacy, with introduction to cybersecurity concepts and defensive techniques
• Electives in specialised areas such as artificial intelligence, natural language processing, distributed systems, cloud computing and mobile/web application development
• Capstone or senior design project emphasising integration of technical skills, software development practices and communication
• Opportunities for undergraduate research with faculty, interdisciplinary coursework with business or engineering, and industry internships

Courses are delivered through lectures, lab work, project-based modules and collaborative assignments, with assessment by programming projects, written reports and examinations. Students can usually tailor their pathway through concentrations or minors and by selecting electives from related departments such as engineering, management or data analytics.

Entry requirements

Typical applicants present a strong secondary-school academic record with emphasis on mathematics (calculus or equivalent) and the sciences. Prior exposure to programming is advantageous but not always required; demonstrated analytical ability and problem-solving skills are important. Admissions also consider extracurricular experience such as coding projects, competitions, work placements or research.

• High school diploma or equivalent from an accredited institution
• Strong performance in mathematics; recommended coursework includes calculus and statistics if available
• Previous coursework or experience in programming is beneficial (examples: Python, Java, C++)
• Personal statement and references that speak to academic readiness and motivation for study in computing and information science

Applicants should consult the university's admissions pages for up-to-date guidance on testing policies, portfolio recommendations and any additional materials required for international applicants.

Career prospects

Graduates enter a broad range of technical and interdisciplinary roles. Common career paths include software engineering, data science and analytics, systems and network administration, cybersecurity, information architecture and user experience design. The programme also provides a solid foundation for further study at master's or doctoral level, or for careers that combine computing with business, healthcare, engineering or the social sciences.

• Software developer / engineer
• Data scientist, data analyst or machine learning engineer
• Cybersecurity analyst or information assurance specialist
• Systems analyst, database administrator or cloud solutions architect
• Product manager, UX researcher or information architect
• Graduate study and research roles in computer science, information science and related fields

Case Western Reserve's connections with local industry, hospital systems and research centres support internship placements and collaborative projects that help students move into employment or graduate study.

Why study at Case Western Reserve University

Case Western Reserve University combines strong technical teaching with interdisciplinary opportunities across engineering, management and the health sciences. Students benefit from access to research-active faculty, dedicated computer labs and collaborative spaces, and programmes that emphasise both theoretical foundations and real-world application.

• Interdisciplinary environment facilitating joint projects with business, engineering and medicine
• Active undergraduate research opportunities and senior capstone projects linked to faculty research
• Strong career support and employer engagement in the Cleveland technology and healthcare sectors, providing internship and co‑op opportunities
• Smaller class sizes in upper-level courses that enable close faculty mentorship

Prospective students should review the university's official programme pages for details on curricula, elective options and pathways to specialisations or combined degrees.