Case Western Reserve University

What you'll study

The Applied Computer Science degree builds a foundation in programming, discrete mathematics and computational thinking before moving into applied areas of software and systems development. Early years emphasise problem-solving and core concepts such as data structures, algorithms, computer architecture and operating systems. Later study typically covers software engineering, databases, computer networks, machine learning, human–computer interaction and cybersecurity.

Students undertake substantial laboratory and project work to develop practical skills in languages, development tools, testing and version control. The programme usually culminates in a senior capstone or practicum project that integrates design, implementation and evaluation of a real-world system.

Because Case Western Reserve is a research-led university, undergraduates have opportunities to work with faculty on research projects in areas such as artificial intelligence, systems, data science, robotics and biomedical computing. Interdisciplinary electives allow students to combine computing with subjects like biomedical engineering, finance, design or entrepreneurship.

• Core modules: Programming, Data Structures & Algorithms, Discrete Mathematics, Computer Systems/Architecture, Operating Systems.
• Applied modules: Software Engineering, Databases, Computer Networks, Machine Learning, Human–Computer Interaction, Security.
• Applied experience: programming labs, team software projects, capstone/practicum, internships or co-op placements.
• Electives and cross-disciplinary options: courses in data science, robotics, bioinformatics, entrepreneurship and engineering.

Entry requirements

Applicants are expected to have a strong secondary-school record with solid preparation in mathematics (for example calculus or advanced algebra) and exposure to science. Successful candidates typically demonstrate proficiency in problem solving and quantitative reasoning.

Admissions decisions consider the full application package: academic transcripts, personal statement or essay, recommendation(s) and any available evidence of coding or project experience (such as a portfolio, GitHub link or relevant coursework). International applicants must provide proof of English language proficiency where required. Standardised test submission policies may vary, so check the university's current guidance.

Transfer applicants should present college-level coursework in mathematics and programming. Mature applicants with non-traditional backgrounds are considered on the basis of academic readiness and relevant experience.

Career prospects

Graduates with an Applied Computer Science degree from Case Western Reserve are prepared for roles across the technology sector and in organisations that rely on computing solutions. Common entry positions include software developer, systems engineer, data analyst, machine learning engineer, DevOps or site reliability roles, and cybersecurity analyst.

Alumni also move into specialised fields such as biomedical informatics, robotics, fintech and product management, or continue into graduate study (master's or PhD) in computer science, data science or engineering. The programme’s emphasis on applied projects and internships helps graduates build portfolios and industry contacts for careers in startups, established tech firms, healthcare institutions and research labs.

Why study at Case Western Reserve University

Case Western Reserve offers a research-driven undergraduate experience with access to faculty-led labs and cross-disciplinary collaboration across engineering, medicine and business. The university’s location in Cleveland provides proximity to major healthcare organisations, technology companies and an active startup ecosystem, offering internship and partnership opportunities.

Undergraduates benefit from relatively small class sizes in upper-level courses, structured capstone experiences and support from career services that connect students with employers in the region and beyond. The department emphasises hands-on learning, undergraduate research and professional preparation, making it a strong choice for students who want applied computing training alongside opportunities for interdisciplinary work.