ACS: Data and Knowledge Management MSc
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- Degree awarded
- Master of Science
- 12 Months. [Full-Time, September-September only]
- Entry requirements
We require a First or strong Upper Second class honours degree, or the overseas equivalent, in computer science, or in a joint degree with at least 50% computer science content. Applicants with extensive computer science industrial experience and a good honours degree, or its overseas equivalent, may also be considered for admission.
Thus we assume that all students on the course have a good background in computer science, reflected, for example, in solid programing and software development skills.
- How to apply
Please note that due to the high volume of applications received this year, the School of Computer Science has introduced an application deadline for overseas applicants of Frid ay 15th April 2016 , by which all applications for 2016 entry must be submitted via our online application system. Any applications received beyond this date will only be considered under exceptional circumstances.
We will continue to accept and consider applications from UK/EU students beyond this point due to the nature of the typical application window within the UK and Europe.
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Efficient management of data and knowledge are key factors not only to the success of almost any enterprise, but also to the successful handling of today's vast amounts of science related data: with the transition to the information age and the knowledge economy, data has become both increasingly central and critical to all activities. For example, imagine the huge amounts of genomic or patient data available electronically, and how the quality of their management can affect society.
The Data and Knowledge Management pathway allows students to take specialist themes concerned with methods and technologies for the adequate management of data and knowledge. The Managing Data theme focuses on the design, maintenance, and query processing of both structured and unstructured databases. The Learning from Data theme covers principles, algorithms, and technologies underlying machine learning, probabilistic modelling, and optimisation, while exposing students to relevant applications. The Advanced Web Technologies theme provides students with a deep understanding of the technologies that are being used to support the continuing evolution of the Web, including Semantic Web technologies.
For entry in the academic year beginning September 2016, the tuition fees are as follows:
- MSc (full-time)
UK/EU students (per annum): £9,000
International students (per annum): £20,500
The fees quoted above will be fully inclusive for the course tuition, administration and computational costs during your studies.
All fees for entry will be subject to yearly review and incremental rises per annum are also likely over the duration of courses lasting more than a year for UK/EU students (fees are typically fixed for International students, for the course duration at the year of entry). For general fees information please visit: postgraduate fees . Always contact the department if you are unsure which fee applies to your qualification award and method of attendance.
Self-funded international applicants for this course will be required to pay a deposit of £1000 towards their tuition fees before a confirmation of acceptance for studies (CAS) is issued. This deposit will only be refunded if immigration permission is refused. We will notify you about how and when to make this payment.
- Academic department
- School of Computer Science
- Contact name
- Postgraduate Admissions Officer
- +44 (0)161 275 6181
- +44 (0)161 275 6204
- Academic department overview
- See: About the School .
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