Postgraduate Course: Dissertation (SDS) (MATH11178)
Course Outline
| School | School of Mathematics |
College | College of Science and Engineering |
| Credit level (Normal year taken) | SCQF Level 11 (Postgraduate) |
| Course type | Dissertation |
Availability | Not available to visiting students |
| SCQF Credits | 60 |
ECTS Credits | 30 |
| Summary | During the summer months, students will work on their MSc dissertation. This will take the form of consultancy-style projects, which aim to provide practical statistical consultancy experience. Work on these projects will involve identifying and applying appropriate statistical methods to real-world problems, interpreting the results, writing formal reports, and delivering an oral presentation. |
| Course description |
Students will be presented with a list of available projects, from which two must be selected. These projects will be undertaken independently, one after the other. Each project will take the form of a statistical consultancy problem, with additional advice and guidance available through weekly drop-in clinics. An individual written report will be submitted by the specified deadline, detailing the methods used, results obtained, and the corresponding interpretation of the results. Towards the end of the term, students will also give an oral presentation(based on a poster)on one of the projects they have worked on.
Students may discuss the projects with their peers; however, all statistical analyses, written reports, and presentations must be their own independent work.
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Entry Requirements (not applicable to Visiting Students)
| Pre-requisites |
|
Co-requisites | |
| Prohibited Combinations | |
Other requirements | Available to Statistics with Data Science MSc students only |
Course Delivery Information
|
| Academic year 2026/27, Not available to visiting students (SS1)
|
Quota: None |
| Course Start |
Block 5 (Sem 2) and beyond |
Timetable |
Timetable |
| Learning and Teaching activities (Further Info) |
Total Hours:
600
(
Dissertation/Project Supervision Hours 20,
Programme Level Learning and Teaching Hours 12,
Directed Learning and Independent Learning Hours
568 )
|
| Assessment (Further Info) |
Written Exam
0 %,
Coursework
100 %,
Practical Exam
0 %
|
| Additional Information (Assessment) |
Coursework 100%, Examination 0% |
| Feedback |
Not entered |
| No Exam Information |
Learning Outcomes
On completion of this course, the student will be able to:
- Identify and applyappropriate statistical techniques to analyse real-world problems in a consultancy context.
- Communicate the statistical methods, results, and conclusions of two projects in consultancy-style written reports.
- Present and discuss the results of a statistical analysis project in an oral presentation.
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Additional Information
| Graduate Attributes and Skills |
Not entered |
| Keywords | DSDS,dissertation,project,consultancy,statistics |
Contacts
| Course organiser | Dr Gordon Ross
Tel: (0131 6)50 51111
Email: Gordon.Ross@ed.ac.uk |
Course secretary | Miss Kirstie Paterson
Tel:
Email: Kirstie.Paterson@ed.ac.uk |
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