Mathematics/Statistics & Data Analytics with Work Placement MSci
Statistics Work Placement Year STATS4061P
- Academic Session: 2026-27
- School: School of Mathematics and Statistics
- Credits: 120
- Level: Level 4 (SCQF level 10)
- Typically Offered: Full Year
- Available to Visiting Students: No
- Collaborative Online International Learning: No
- Curriculum For Life: No
Short Description
This course will consist of a work placement year as a practicing Statistician in employment.
Timetable
None
Assessment
Assessment
Normally based on a written report and presentation by the student on projects completed throughout the work placement year. Assessment contributes 20% to the final degree mark. The line manager in employment will also produce a final report which will help to inform the final mark.
Reassessment
In accordance with the University's Code of Assessment reassessments are normally set for all courses which do not contribute to the honours classifications. For non honours courses, students are offered reassessment in all or any of the components of assessment if the satisfactory (threshold) grade for the overall course is not achieved at the first attempt. This is normally grade D3 for undergraduate students, and grade C3 for postgraduate students. Exceptionally it may not be possible to offer reassessment of some coursework items, in which case the mark achieved at the first attempt will be counted towards the final course grade. Any such exceptions are listed below in this box.
If a student completes the work placement year satisfactorily in the view of the employer but does not obtain the minimum D3 for the report, the student may be allowed the opportunity to re-submit the report on the recommendation of the head of school.
Main Assessment In: August
Course Aims
■ To provide experience of a year's full-time employment as a practicing statistician.
■ To provide extended experience of carrying out and reporting on statistical data analysis.
Intended Learning Outcomes of Course
By the end of this course students will be able to:
■ carry out statistical analysis project work in a work environment;
■ report on the work done in written and oral form;
■ explain the work they have carried out in an oral presentation.