MSc Advanced Computing - Machine Learning, Data Mining and High-Performance Computing

Find a programme
Awards available MSc
Programme length One year full-time
Location of programme Clifton campus
Part-time study available No, full-time only
Start date September 2018

Programme overview

Machine learning, data mining and high-performance computing are concerned with the automated analysis of large-scale data by computer, in order to extract the useful knowledge hidden in it. Using state-of-the-art artificial intelligence methods, this technology builds computer systems capable of learning from past experience, allowing them to adapt to new tasks, predict future developments and provide intelligent decision support.

This programme is aimed at giving you a solid grounding in machine learning, data mining and high-performance computing technology, and will equip you with the skills necessary to apply these tools and techniques to solving complex scientific and business problems.

Fees for 2018/19

We charge an annual tuition fee. Fees for 2018/19 are as follows:

UK/EU: full-time
£10,700
Overseas: full-time
£21,100
Channel Islands/Isle of Man: full-time
£14,300

Fees are subject to an annual review. For programmes that last longer than one year, please budget for up to a five per cent increase in fees each year. Find out more about tuition fees.

Alumni scholarship

University of Bristol students and graduates can benefit from a ten per cent reduction in tuition fees for postgraduate study. Check your eligibility for an alumni scholarship.

Funding for 2018/19

Further information on funding for prospective UK, EU and international postgraduate students.

Programme structure

There are four core units and a choice of optional units, which you can select depending on your previous experience or preference.

You will then complete a project that involves researching, planning and implementing a major piece of work. The project must contain a significant scientific or technical component and will usually involve software development. It is usually submitted in September.

This programme is updated on an ongoing basis to keep it at the forefront of the discipline. Visit our programme catalogue for full details of the structure and unit content for our MSc in Advanced Computing - Machine Learning, Data Mining and High-Performance Computing.

Entry requirements

An upper second-class honours degree with a final average of 65 per cent or above (or international equivalent) in computer science or a related discipline. Good programming skills are also required.

See international equivalent qualifications on the International Office website.

English language requirements

If English is not your first language, you need to meet this profile level:
Profile E
Further information about English language requirements and profile levels.

Admissions statement

Read the programme admissions statement for important information on entry requirements, the application process and supporting documents required.

Admissions statement

Careers

Skilled professionals and researchers who are able to apply the technologies covered in this programme to current issues are in high demand in today's job market.

How to apply
Application deadline:

18 August 2018: UK and EU applicants
31 July 2018: International applicants (who require a Tier 4 visa)
These deadlines dates have been set to allow you to obtain your visa and arrive to start your programme on time.

Early application recommended; places may fill before our deadlines.

International students

Find out more about becoming a student at Bristol, applying for a visa and the support we offer to international students.

I chose Bristol because of its outstanding academic reputation. It's reassuring to be taught by people who truly love their subject - their passion becomes contagious.

Joyce

REF 2014 results

  • 31% of research is world-leading (4 star)
  • 56% of research is internationally excellent (3 star)
  • 12% of research is recognised internationally (2 star)
  • 1% of research is recognised nationally (1 star)

Results are from the most recent UK-wide assessment of research quality, conducted by HEFCE. More about REF 2014 results.

Get in touch

For questions regarding study and admission contact our Enquiries Team Phone: +44 (0) 117 394 1649 Email: choosebristol-pg@bristol.ac.uk

http://www.bris.ac.uk/engineering/postgraduate http://www.bristol.ac.uk/engineering/departments/computerscience

Disclaimer

Important disclaimer information about our programmes.

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