Taught course

Advanced Computer Science (Data Analytics)

Institution
University of Leeds · School of Computing
Qualifications
MSc

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Entry requirements

A bachelor degree with a 2:1 (hons) in computer science. Other Computing based degrees may be considered on a case by case basis.

We require all applicants to have studied a breadth of relevant modules including significant programming, systems development, data structures and algorithms, with strong marks across all these modules.

Relevant work experience will also be considered.

We accept a range of international equivalent qualifications. For more information please contact the Admissions Team.

Months of entry

September

Course content

Big data is becoming more and more important in fields from science to marketing, engineering, medicine and government. This Masters degree will equip you with specialist knowledge in this exciting field and allow you to explore a range of advanced topics in computer science.

You’ll gain a foundation in topics like systems programming and algorithms, as well as the basics of machine learning and knowledge representation. You’ll also choose from optional modules focusing on topics like image analysis or text analytics, or broaden your approach with topics like cloud computing.

As one of the few schools with expertise covering text, symbolic and scientific/numerical data analysis, we can provide a breadth of expertise to equip you with a variety of skills – and you’ll work as an integral member of one of our research groups when you develop your main project. We also have close links with the Leeds Institute for Data Analytics (LIDA) which is at the forefront of big data research.

Specialist facilities

You’ll benefit from world-class facilities to support your learning, including:

  • a state-of the art cloud computing lab with a 10-node cluster

  • a large High Performance Computing (HPC) resource consisting of several clusters which are used for all forms of predictive modelling, data analysis and simulation

  • a visualisation lab including a Powerwall, benchtop display with tracking system, WorldViz PPT optical tracking system and Intersense InertiaCube orientation tracker

  • Ascension Flock of Birds tracking systems, three DOF and 6DOF Phantom force feedback devices

  • Twin Immersion Corp CyberGloves

  • rendering cluster and labs containing both Microsoft and Linux platforms, among others.

  • You'll study in the Sir William Henry Bragg building, a brand-new development providing excellent facilities and teaching spaces for an outstanding student experience.

It’s an exciting environment in which to gain a range of skills and experience cutting-edge technology.

Qualification, course duration and attendance options

  • MSc
    full time
    12 months
    • Campus-based learningis available for this qualification

Course contact details

Name
Admissions Team
Email
pgcomp@leeds.ac.uk
Phone
+44 (0)113 343 2564