Computer Science with a Year in Industry
Computer science at degree level develops the rigorous analytical and technical skills to understand, design and build the computational systems on which the modern world depends. It is a discipline that combines mathematical precision with engineering creativity, asking students to master everything from low-level system architecture through to high-level software design, and to understand both the theoretical foundations of computation and its practical applications across industries and domains. At one of the UK's leading research universities, studying this subject means engaging with a field that is advancing rapidly and with profound consequences for every aspect of society.
At King's College London this four-year, full-time programme includes a year in industry, which is built into the degree and gives you sustained professional experience in a technology organisation or computing role before you graduate. You will build in-depth understanding of computer-based information systems, studying a wide range of areas including programming, algorithms, data structures, computer architecture, databases, networks, software engineering, artificial intelligence and human-computer interaction. You will become proficient across multiple software platforms and programming languages, develop your analytical and problem-solving abilities and gain experience applying your skills to real systems and real problems.
King's location in central London, at the heart of a major technology and financial centre, enriches the professional opportunities available throughout the degree.
Computer science graduates from a highly regarded London institution are sought after across virtually every sector of the economy. Career paths include software engineering, systems architecture, data science, artificial intelligence and machine learning, cybersecurity, product management, technical consulting and entrepreneurship. Many graduates move directly into industry roles in technology companies, financial institutions, government or digital agencies, while others continue to postgraduate study in computer science, data science, or related fields.