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25% of students drop out or transfer from this specific course. Consider asking why on an open day.
BSc Computer Science with Foundation Year
About this course
Computer science underpins virtually every aspect of contemporary life. From the software running on your phone to the algorithms that process medical images, power financial systems, and control industrial machinery, the discipline provides the theoretical foundations and practical tools that make modern computing possible. This four-year programme at the University of Derby includes a foundation year that brings you up to degree-level readiness, then builds steadily through applied computer science with a strong emphasis on practical programming and software development using industry-standard tools and laboratories. You will study a wide range of topics spanning both computing and mathematics, developing rigorous problem-solving skills alongside hands-on technical ability. Core areas typically include data structures and algorithms, software engineering principles, databases, networks, and operating systems, complemented by work in artificial intelligence, security, and systems design as the course progresses. The programme includes both a sandwich placement year and a year abroad, meaning you can gain substantive work experience inside a technology organisation and study in an international setting, both of which significantly strengthen your graduate profile. Work placement opportunities are embedded in the course structure, giving you direct exposure to professional software development practice. Computer science graduates are among the most sought-after in the UK graduate labour market. Roles in software development, systems architecture, data analysis, cybersecurity, and technology consulting are all common destinations. Many graduates join technology companies of all sizes, from startups to multinationals, while others find opportunities in the public sector, healthcare technology, finance, and education. Further study at master's or doctoral level is also a well-trodden route, particularly for those interested in research, machine learning, or specialist engineering fields.
Syllabus & Modules
Typical curriculumStudent Satisfaction
National Student Survey - 35 respondents (61% response rate)
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