Course summary

What revelations hide in social media, mobile applications or Internet of Things (IoT) sensor data? Our MSc Big Data Analytics unlocks the theories, skills and tools you need to uncover hidden patterns, correlations and trends. As a recent computer science graduate or IT industry career changer, you’ll become a big data specialist on this course. Big data analysts work in a changing and evolving technology landscape. You need imagination and creativity to come up with novel ways to answer questions. We’ll teach you to assess new and advanced solutions then adapt them as you process, analyse and make sense of big and complex data. Study visualisation, modelling, and the foundations of artificial intelligence and machine learning algorithms. Assess issues presented by big data in different situations. Learn essential methods, practices, and theories. Study relevant computational techniques. You’ll develop the skills and confidence you need to succeed with our Masters in big data analytics. Please note, there is an intake to the 12-month full-time route each September and 16-month full-time route each January. The 16-month full-time route includes the UK summer break between semesters. The part-time route takes 2-3 years to complete and typically has intakes in both September and January. What you'll study Data mining. Virtual reality. Practical maths. Our Masters programme gives you the full skillset and experience you need to become a big data expert. Become an expert in choosing the right tools and methods for a specific task. Study the tools and techniques for advanced analytics. Get a deep understanding of the ideas and theories behind different algorithmic approaches. Learn to handle, manage, process and analyse different kinds of data in different ways. Help people make sense of big data sets. Learn the latest ways to share your results using graphs, pictures and virtual reality. Explore what’s new in computing and judge its usefulness for data analysis while assessing its ethical impact. Put your knowledge into practice as you get creative to solve big data problems.