BSc Computing
About this course
Computing is a broad and versatile discipline that encompasses the theory, design, and implementation of software systems, hardware architectures, networks, and the data and algorithms that power them. It sits at the intersection of rigorous analytical problem-solving and creative system design, requiring graduates who can both understand the principles underlying computing and apply them to build things that work reliably in complex real-world settings. The reach of computing into every aspect of economic and social life continues to expand, and the demand for graduates who can navigate that landscape thoughtfully is consistent and strong. At Edge Hill University, this three-year, full-time degree covers the core foundations of computing, including programming, algorithms, data structures, software engineering, systems architecture, and databases, developing the technical breadth that employers across the full range of industries expect from computing graduates. A sandwich year, a year abroad, and a work placement are all available, giving you multiple opportunities to apply your computing skills in professional settings and to experience computing practice in different contexts. The typical entry tariff of 120 points reflects an accessible approach to admissions, and the programme is designed to welcome students from diverse educational backgrounds who have the aptitude and commitment to succeed in a technically demanding field. Computing graduates are in demand across virtually every sector of the economy. Software development, systems analysis, data analytics, cybersecurity, IT project management, and technical consultancy are all common career destinations. Business, medicine, education, the arts, and public administration have all been transformed by computing, and graduates from Edge Hill find roles in organisations as diverse as hospitals, schools, creative agencies, financial institutions, and technology companies. Many graduates also go on to postgraduate study in computer science, data science, cybersecurity, or artificial intelligence to develop specialist expertise.
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