Professional course

Multivariate Statistics

About this course

Course code:
Professional/Short Course
Engineering Design and Mathematics
Frenchay Campus
One day
Professional short course delivered through both taught and practical sessions.
Programme leader:
Iain Weir

Page last updated 14 December 2018


We offer one day short courses covering different aspects of applied statistics. Courses are non-credit bearing and are designed for quick learning of the material covered.

Fees include refreshments, lunch and any course materials, including any pre-reading materials required.

Entry requirements

Overseas students need to have, in advance of application, either a valid student visa or evidence of residency status in the UK.



To get the most out of this course, you should be familiar with the material covered in Introduction to SPSS and Introduction to Inference. Ideally you would have already attended these courses. This course covers the most commonly used multivariate techniques including principal component analysis, cluster analysis, discriminant analysis and correspondence analysis. It is a hands on course and SPSS is used throughout the day.


This is a non-credit bearing course and no assessment will be undertaken. You will receive a certificate of attendance on completion of the course.

Prices and dates

Supplementary fee information

Please see the table below for current fees and discounts available. All prices are VAT exempt.

Discounts can not be used in conjunction with each other. The greatest discount available will be applied at your booking confirmation.

CohortFull FeeEarly Bird DiscountUWE Alumni/Student DiscountUWE Staff Discount
Payment Deadline 18 March 201929 April 201929 April 2019

(Fees include car parking, lunch and refreshments)

Course Dates


May 2019

Session 1


Monday 13 May 2019


10.00 - 16.00

How to apply

How to apply

To make a full or provisional booking for this course, please complete the relevant online booking form below:

May 2019Book NowEnquire Now

For further information

  • Email: Please contact us by using the online enquiry form above.
  • Telephone: +44 (0)117 32 86304

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