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

  • On Campus
  • 12 months
  • GBP18100 Year (Non-EEA)
  • English (IELTS accepted)
University of Bristol | Bristol, United Kingdom
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.

Description of Advanced Computing - Machine Learning and Data Mining

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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. 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.

Skilled professionals and researchers who are able to apply these technologies to current problems, and thereby push the limits of what computers can effectively do, are in high demand in today's job market.

Careers after an MSc in Advanced Computing - Machine Learning, Data Mining and High-Performance Computing

Skilled professionals and researchers who are able to apply these technologies to current problems, and thereby push the limits of what computers can effectively do, are in high demand in today's job market.

Detailed Course Facts

Application deadline 12 January
Tuition fee
  • GBP 18100 Year (Non-EEA)
  • GBP 7900 Year (EEA)
  • Part-time: UK/EU £3,950; overseas n/a
Start date September  2015
Duration full-time 12 months
Languages
  • English
Take an IELTS test
Delivery mode On Campus
Educational variant Part-time, Full-time

Course Content

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.

English Language Requirements

IELTS take IELTS test
6.5
CAE score
180(Grade C)
TOEFL iBT® test
90

IMPORTANT NOTE: Per 6 April 2015 only the English language tests from IELTS and Trinity College London are accepted for Tier 4 Visa applications to the United Kingdom. Other tests (including TOEFL, TOEIC, Pearson, City & Guilds) are no longer accepted for Tier 4 visa applications to the United Kingdom. The university might still accept these tests to admit you to the university, but if you require a Tier 4 visa to enter the UK and begin your degree programme, these tests will not be sufficient to obtain your Visa. Since the Trinity College London language tests must be taken in one of their exam centres in the UK, IELTS is now the only language test accepted for Tier 4 visas to the UK that can be taken worldwide.

The IELTS test is most widely accepted by universities and is also accepted for Tier 4 visas to the UK- learn more.

Requirements for Advanced Computing - Machine Learning and Data Mining

  • 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.
  • See international equivalent qualifications on the International Office website.
  • Selection process: Online application form
  • Admissions statement: Read the programme admissions statement for important information on entry requirements, the application process and supporting documents required.

Work Experience for Advanced Computing - Machine Learning and Data Mining

No work experience is required.

More Information

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University of Bristol, United Kingdom

United Kingdom The University of Bristolís postgraduate opportunities attract exceptionally talented people from all over the world. If you like the look of our programmes, if the city appeals to you, and if you believe you have what it takes to do well here, we want to hear from you. The University has a superb reputation for its quality of teaching and research; both have been independently assessed as excellent. We research issues that matter to society, across the sciences, medicine, engineering, social sciences, arts and humanities. To study at Bristol is to join a thriving and highly respected academic community. Beautiful, cosmopolitan, vibrant and yet relaxed, Bristol is the southwestís leading city and a great place to live. The University occupies many historic and modern buildings in charming surroundings at the heart of the city. Donít take our word for all this - explore the possibilities for yourself.