• Xi’an Jiaotong-Liverpool University Featured Masters Courses
  • Coventry University Featured Masters Courses
  • University of Derby Online Learning Featured Masters Courses
  • St Mary’s University, Twickenham Featured Masters Courses
  • Cardiff University Featured Masters Courses
  • University of Glasgow Featured Masters Courses
  • New College of the Humanities Featured Masters Courses
  • Goldsmiths, University of London Featured Masters Courses
University of the West of England, Bristol Featured Masters Courses
University of Hertfordshire Featured Masters Courses
Queen’s University Belfast Featured Masters Courses
Queen Mary University of London Featured Masters Courses
Bath Spa University Featured Masters Courses

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

Course Description

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 these tools and techniques to the solution of complex scientific and business problems.

Programme structure

Your course will cover the following core subjects:
-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 typically include:
-Artificial Intelligence with Logic Programming
-Bio-inspired Artificial Intelligence
-Cloud Computing
-Computational Bioinformatics
-Computational Genomics 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.

This programme is updated on an ongoing basis to keep it at the forefront of the discipline. Please refer to the University's programme catalogue for the latest information on the most up-to-date programme structure.


Skilled professionals and researchers who are able to apply these technologies to current problems are in high demand in today's job market.

Visit the Advanced Computing - Machine Learning, Data Mining and High-Performance Computing MSc page on the University of Bristol website for more details!

(Student Profile)

Tasos Papastylianou

276.jpg The Department is excellent and the open door policy they operate means that there is always someone friendly to help you.

The course is very well organised and structured - you are surrounded by people doing active cutting-edge research, which is very motivating and stimulating.


Entry Requirements

An upper second-class honours degree (or equivalent) in Computer Science or related discipline. Good knowledge of programming is essential.

Last Updated

16 September 2016

Email Enquiry

Recipient: University of Bristol

Insert previous message below for editing? 
You haven’t included a message. Providing a specific message means universities will take your enquiry more seriously and helps them provide the information you need.
Why not add a message here
* required field
Send a copy to me for my own records.

Your enquiry has been emailed successfully

Cookie Policy    X