Page last updated 1 November 2024
This course can count towards one of our postgraduate qualifications within our Information Technology Awards.
This module will help you to understand how organisations can capitalise on their information assets and use them for both evaluating performance and identifying new opportunities. Key principles and approaches to machine learning will be covered alongside examples of how they relate to business problems and research/development questions.
Participants are expected to have a first degree at 2.2 level or above (or equivalent), or alternatively have six-months of relevant industrial experience.
If you are a non-UK student you will need to show your passport on entry to the UK. Please check your eligibility to visit and study in the UK here. If you are a non-Irish EU national currently resident in Ireland please contact us directly for further advice.
If English is not your country's first language, you will be required to provide evidence to show you meet the UK Border Agency and the University's minimum English Language requirements. Further details are available on our English Language Requirements webpage
We strongly recommend that you speak to the course tutor prior to the course if you are unsure about your suitability to complete the assessment.
This module can be taken as a standalone module, or used to build up credit towards a named postgraduate qualification (PG Certificate, PG Diploma or Masters) within our Information Technology awards
This module will cover the following topic areas:
Introduction to predictive analytics
Predictive analytics in business - applications
Analytics models and techniques
Introduction to machine learning
Machine learning for predictive analytics [1]
Regression techniques for predictive analytics
Advanced topics and Software tools
The module is delivered through weekly lectures and tutorial sessions, which take place on consecutive weeks.
Each lecture will direct the course and introduce the new ideas and skills required. Then small group tutorial sessions will enable each student to carry out the study and research exercises described in the associated work-sheet under the guidance of a Tutor.
The teaching material is available from Blackboard (our online learning environment).
A course text is also recommended.
This module (course) will involve 2 hours direct contact time per week for one semester equally divided between lecture and tutorial sessions.
A 15 credit module, like this, is expected to take 150 hours to complete:
The module will be assessed though a coursework project and a written exam.
For more details, see our full glossary of assessment terms.
The University has excellent facilities, accessible to all students, as required; however, it is expected that much of the work will be carried within the work environment.
Find out more about the facilities and resources UWE Bristol has to offer.
Take a personalised virtual tour of the Computer Science and Creative Technologies facilities and experience what a typical day could look like here for you.
This course is planned to run again in 2025. Course dates, updated fees and online booking forms will be published here in the summer of 2024. Please complete our online enquiry form below to be notified once these details are made available.
| Cohort February 2025 | Time | Location |
| Twenty sessions, scheduled over twenty-four weeks | TBC | Frenchay Campus |
All prices are VAT exempt
| Cohort | February 2025 |
| UK students | £792.00* |
| International students | £1,333.00* |
*Fees displayed are based on 2023/24 entry and are an indication only. Please note there might be a small increase for 2024/25. Please complete our online enquiry form below to be notified once these details are made available.
For information on fees, managing your money and determining your fee status, please go to our fees and funding pages.
Course location
UWE Bristol, Frenchay Campus, Coldharbour Lane, Bristol BS16 1QY
This course is planned to run again in 2025. Course dates, updated fees and online booking forms will be published here in the summer of 2024. Please complete our online enquiry form below to be notified once these details are made available.
As this module carries university accreditation, please note that once you have submitted your booking form, you will be required to provide the following supporting information for Tutor to be able to review and formally accept your application as required by the university:
| Cohort | ||
|---|---|---|
| February 2025 | Enquire Now |