Advanced Computing - Machine Learning and Data Mining, M.Sc.

  • N/A
    Application Deadline
  • 12 months
    Duration
  • 18600
    Tuition (Year)
    8100
    Tuition (Year)
  • English
    Language
,
The Advanced Computing - Machine Learning and Data Mining programme from University of Bristol 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 construct and apply ML, DM and HPC tools and techniques to the solution of complex scientific and business problems.
  • Overview
  • Programme outline
  • Key facts
  • Admission requirements
  • Fees and funding

About

The Advanced Computing - Machine Learning and Data Mining programme from University of Bristol is 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. Bristol's recent investment in the BlueCrystal supercomputer - and our Exabyte University research theme - show our commitment to research at the cutting edge in this area.

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 construct and apply ML, DM and HPC tools and techniques to the solution of complex scientific and business problems.

Programme Structure

In the introductory week you will take a programming proficiency test and will be placed in either an 'experienced' stream or a 'foundation' stream.

This programme is updated on an ongoing basis to keep it at the forefront of the discipline. Please refer to the School website for the latest information on the most up to date programme structure.

You will take the following core units:
  • Introduction to Machine Learning
  • Research Skills
  • Statistical Pattern Recognition
  • Uncertainty Modelling for Intelligent Systems

Depending on previous experience or preference, you are then able to take optional units which include:

  • Artificial Intelligence and Computer Vision
  • Cloud Computing
  • Computational Bioinformatics
  • Computational Geonomics and Bioinformatics Algorithms
  • Computational Neuroscience
  • High Performance Computing
  • Image Processing and Computer Vision
  • Robotics Systems
  • Server Software
  • Web Technologies

You must 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 a software development component. It is usually submitted in September.

Detailed Programme Facts

    • Started in

        Deadline was:

      • General

      Dates reflect the university's timezone.

  • Duration full-time 12 months
  • Languages
    • English
  • Delivery mode
    On Campus
  • Educational variant Full-time

Test Scores

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Academic Requirements

  • An upper second-class honours degree (or equivalent) in Computer Science or related discipline. Applicants with a mathematics or statistics background may also be considered. Reasonable knowledge of programming is a prerequisite.

Tuition Fee Per Year

  • GBP 18600 International
  • GBP 8100 EEA
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The award recognises studying abroad as a positively life changing experience for many students as well as promoting intercultural understanding and tolerance. Successful candidates will receive up to £10,000 to be applied toward the cost of tuition fees.

Funding

Funding for international postgraduate students is limited and you must have enough funding in place for your living costs and your tuition before you arrive at university.

Master's degrees

Funding for taught Master's degrees is limited to the DfID scheme, which is only open to students from Commonwealth developing countries coming to this University to study specific courses.

Research degrees

PhD funding is more general - there are no limitations placed on nationality or course, providing Bristol is able to offer supervision for the topic being researched. A limited number of studentships are available for each area of study.

We recommend that you contact the British Council in your home country, and the department you want to study in at University, to see if they know of any funding available.

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