Our modern world is witnessing a growth of online data in a variety of forms, including web documents, blogs, social networks, digital libraries, and medical records. Much of this data contains valuable information, such as emerging opinions in social networks, search trends from search engines, consumer purchase behaviour, and patterns that emerge from these huge data sources.
The sheer volume of this information means that traditional stand-alone applications are no longer suitable to process and analyse this data. Our course equips you with the knowledge to contribute to this rapidly emerging area.
We give you hands-on experience with various types of large-scale data and information handling and start by providing you with a solid understanding of the underlying technologies, in particular cloud computing and high-performance computing. You explore areas including:

Mobile and social application programming
Human-computer interaction
Computer vision
Computer networking
Computer security

You also obtain practical knowledge of processing textual data on a large scale in order to turn this data into meaningful information and have the chance to work on projects that are derived from actual industry needs proposed by our industrial partners.
Professional accreditation
Accredited by BCS, the Chartered Institute for IT for the purposes of partially meeting the academic requirement for registration as a Chartered IT Professional.
Accredited by BCS, the Chartered Institute for IT on behalf of the Engineering Council for the purposes of partially meeting the academic requirement for registration as a Chartered Engineer.
Accredited by the Institution of Engineering and Technology (IET) on behalf of the Engineering Council as meeting the requirements for Further Learning for registration as a Chartered Engineer. Candidates must hold a CEng accredited BEng/BSc (Hons) undergraduate first degree to comply with full CEng registration requirements.
Your future
Demand for skilled graduates in the areas of big data and data science is growing rapidly in both the public and private sector, and there is a predicted shortage of data scientists with the skills to understand and make commercial decisions based on the analysis of big data.
Our recent graduates have progressed to a variety of senior positions in industry and academia, and now work for global companies such as Microsoft as well as regional start-ups, as software developers, development managers and product managers.