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 13 December 2017


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.

Study time

This course runs from 10.00 - 16.00


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

Full fee: £240

20% early bird discount fee: £192 (for bookings paid in full 8 weeks or more in advance)

15% UWE Alumni and Current Student Discount fee: £204 (available until the course start date)

Please note that discounts cannot be used in conjunction with each other. The greatest discount available will be applied at your booking confirmation.

(Fees include car parking, lunch and refreshments)

Course Dates

May 2018 run: Monday 14 May 2018

How to apply

How to apply

To make a full or provisional booking for the May 2018 run of our course, please complete our online booking form.

For all enquiries, please complete our online enquiry form or contact us on the number below.

For further information

  • Email: Please contact us by using the online enquiry form above.
  • Telephone: +44 (0)117 32 87265

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