MSc Computer Science

Loughborough University London

​With a strong emphasis on programming, artificial intelligence (AI), data analytics, and cybersecurity, this course gives you the knowledge and hands-on experience to build a successful career in today’s digital economy.

​This conversion programme offers a comprehensive and accelerated introduction to core areas of computer science, while enabling you to explore emerging technologies and industry trends. You’ll gain both the theoretical knowledge and hands-on experience to manage complex digital systems. This includes building practical coding skills using tools such as Anaconda NumPy, pandas, and PyTorch and mastering programming paradigms, including procedural, functional and object-oriented programming (OOP).

​The programme uses a block teaching model, delivered in 3-week blocks, allowing for deep immersion in each topic. This approach means you'll focus on one subject at a time, enhancing retention, comprehension, and the ability to apply what you've learned effectively. By dedicating full attention to each area of study, you'll gain a more thorough understanding of complex concepts and develop skills that are immediately applicable in the real world.

​A key feature of this course is the Collaborative Project, where you’ll work in a multidisciplinary team to tackle a real-world challenge provided by one of our industry partners. You’ll also apply your new technical skills to develop creative, data-driven solutions for issues with social, technological, or global significance through the Grand Challenges module. This experience doesn’t just build technical expertise, it sharpens your communication, teamwork, and critical thinking skills, all of which are essential for a career in tech.

​The programme is delivered by Loughborough University London's Institute for Digital Technologies, a leading centre for interdisciplinary research on AI systems, autonomous systems, blockchain, cybersecurity, wireless communications and sensing, the Internet of Things, digital twins, sports and healthcare technologies, and financial technologies. You'll benefit from teaching that is research-led and closely aligned with current industry demands.