Skip header navigation

Summer academic programme

The University of Stirling offers the opportunity for full and part-time undergraduate students to take additional credit through the Summer Academic Programme.

The maximum amount of credit a student may take in summer is 20 credits, and the modules offered are delivered on-line, so no attendance is required.

Please bear in mind that a maximum of 40 credits in Personal Development modules (module codes beginning with PDM or CST) can count towards a degree programme.

  • Fees

    The fees in summer 2019 are:

    £175 per 10 credit module. This is a flat rate for all students. Students will be invoiced shortly after 3rd June 2019.

    Please note that there is no opportunity to withdraw from a summer module after registration. No refunds will be issued.

    Students are not required to re-enrol for the Summer Academic Programme.

  • Deadline for Applications

    Registration will remain open until 9 am Monday 24 July 2019. The sooner you register - the more time you’ll have to complete

  • How to Apply

    To register for the Summer Academic Programme, please email Student Programmes to advise which module(s) you would like to take.

  • Canvas

    Access to canvas will open on Thursday 6 June 2019.

  • Assessment

    To be completed by Friday 23 August 2019

    Resit: to be completed by Monday 2 September 2019

  • Mark Availability

    All marks from the Summer Academic Programme will be available by Wednesday 28 August 2019 at the latest, resit marks will be available by Friday 6 September 2019.

  • Modules Offered

    Summer 2019

    Module: Data Skills (PDMU9L4)

    Credits: 10 credits at SCQF Level 7

    Delivery: Online Only (via Canvas); no classroom teaching

    Materials and assessments available from 6 June to 23 August.

    Co-ordinator: Kate Howie c.a.howie@stir.ac.uk

    Description: The main aim of the Data Skills modules is to build confidence in handling numbers and formulae in either a statistical or mathematical context. The aim is to provide an encouraging and supportive environment in which to come to grips with key skills, important in a range of disciplines - for example, Accountancy, Applied Social Science, Biology, Business Studies, Economics, Finance, Management and Psychology. There will be two paths through the module offered online this summer; normally Path 1 is taken first as PDMU9L4 and Path 2 as PDMU9L5.

    Path 1- Basic Ideas in Statistics

    Three basic skills will be developed: presenting data visually, calculating numerical measures to characterise the distribution of data, and interpreting the visual plots and numerical measures.

    Path 2 - Using Statistics in Solving Practical Problems

    Taking someone else's data set and analysing it is a very different problem from organising your own data collection to answer the sort of questions you want to! This requires additional skills to cover the design of a survey or an experiment, and then use this data to test hypotheses and make predictions.

    Assessment: A ‘quiz’ taken online upon completion of each of three workbooks, i.e. total of three ‘quizzes’.


    Module: Further Data Skills (PDMU9L5)

    Credits: 10 credits at SCQF Level 7

    Delivery: Online Only (via Canvas); no classroom teaching

    Materials and assessments available from 6 June to 23 August.

    Co-ordinator: Kate Howie. c.a.howie@stir.ac.uk

    Description: The main aim of the Data Skills modules is to build confidence in handling numbers and formulae in either a statistical or mathematical context. The aim is to provide an encouraging and supportive environment in which to come to grips with key skills, important in a range of disciplines - for example, Accountancy, Applied Social Science, Biology, Business Studies, Economics, Finance, Management and Psychology. There will be two paths through the module offered online this summer; normally Path 1 is taken first as PDMU9L4 and Path 2 as PDMU9L5.

    Path 1- Basic Ideas in Statistics

    Three basic skills will be developed: presenting data visually, calculating numerical measures to characterise the distribution of data, and interpreting the visual plots and numerical measures.

    Path 2 - Using Statistics in Solving Practical Problems

    Taking someone else's data set and analysing it is a very different problem from organising your own data collection to answer the sort of questions you want to! This requires additional skills to cover the design of a survey or an experiment, and then use this data to test hypotheses and make predictions.

    Assessment: A ‘quiz’ taken online upon completion of each of three workbooks, i.e. total of three ‘quizzes’.

  • Further Information

    If you require further information, please contact the Student Programmes Team: 01786 (46)6685.

Scroll back to the top