The qualifications and exam results you'll need to apply for this course.
You'll need to demonstrate competence in the use of English language, unless you’re from a majority English speaking country .
We accept a variety of international language tests and country-specific qualifications .
International applicants who do not meet the minimum required standard of English language can complete one of our Pre-Sessional English courses to achieve the required level.
Do you need to complete a Pre-sessional English course to meet the English language requirements for this course?
The length of Pre-sessional English course you’ll need to take depends on your current level of English language ability.
If you don’t meet our English language requirements, we can use your most recent IELTS score, or the equivalent score in selected other English language tests , to determine the length of Pre-sessional English course you require.
Use the table below to check the course length you're likely to require for your current English language ability and see whether the course is available on campus or online.
If you’ve completed an alternative English language test to IELTS, we may be able to use this to assess your English language ability and determine the Pre-sessional English course length you require.
Please see our guide to Pre-sessional English entry requirements for IELTS 6.5 overall, with no component below 5.5, for further details.
Gain hands-on experience of big data analytics, data mining and visualisation techniques using high-performance computer technology.
Big data is increasingly important in the contemporary business and IT world. For many public and private enterprises, analysis of large-scale data sets is critical to growth. This MSc will prepare you for employment in an IT industry where big data professionals are in high demand.
You’ll learn how to interrogate vast amounts of data and make informed insights from datasets that are too large to be readily processed using standard techniques.
In year one, we’ll provide an overview of the key algorithms, algorithmic approaches and software environments you’ll use when solving big data problems and explore data mining techniques. We’ll also guide you in how to plan and conduct research.
Hands-on programming experience with the latest multi-core and multi-processor platforms will ensure your expertise in big data is underpinned by knowledge of high-performance computing. Further opportunities to specialise and enhance your knowledge of algorithms, optimisation and machine learning are available through a range of optional modules.
You’ll work as part of a small group on a practical project to find a solution to a big data problem. We’ll also provide a thorough grounding in how to plan and conduct research in preparation for your dissertation.
In year two, you’ll undertake an industrial project in a real-world environment as part of an extended placement opportunity. While on placement, you’ll develop transferable skills and gain insight into the operations, products, practices and culture of the placement provider.
The MSc in Advanced Data Science and Artifical Intelligence with a Year in Industry is designed for and directed at graduates with a previous Computer Science related degree.
Which postgraduate degree is right for you? The Department of Computer Science offers master’s programmes for students with undergraduate degrees in Computer Science and other disciplines.
If you have a Computer Science related degree, you could be eligible for the following master’s courses:
Computer Science related degrees may include degree titles such as: Computer Applications, Computer Science, Computer Engineering, Computer Applications and Engineering, and Software Engineering. Please note that this list is not exhaustive. Any Computer Science related degree should contain a significant amount of computer science related modules to be relevant (as assessed by the Department of Computer Science).
If you don’t have a Computer Science related degree and you are interested in learning more about the field, you may be eligible to study:
Please check individual course pages for detailed entry requirements.