Big Data and Text Analytics

Entry requirements

A 2.2 in Computer Science, Computer Games, Electronic and Electrical Engineering or Mathematics.

At least 50% of Undergraduate Academic Modules must include computer science, electronic engineering, mathematics, engineering. In additional at least one of these modules should be a programming module.

Months of entry

October

Course content

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.

We are ranked Top 10 in the UK in the 2015 Academic Ranking of World Universities, with more than two-thirds of our research rated ‘world-leading’ or ‘internationally excellent (REF 2014).

Qualification and course duration

MSc