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DEGREE REGULATIONS & PROGRAMMES OF STUDY 2022/2023

Timetable information in the Course Catalogue may be subject to change.

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DRPS : Course Catalogue : School of Mathematics : Mathematics

Postgraduate Course: Dissertation (SDS) (MATH11178)

Course Outline
SchoolSchool of Mathematics CollegeCollege of Science and Engineering
Credit level (Normal year taken)SCQF Level 11 (Postgraduate)
Course typeDissertation AvailabilityNot available to visiting students
SCQF Credits60 ECTS Credits30
SummaryDuring the months of June, July and August students will work on their MSc dissertation. This will take the form of either consultancy style projects. The aim of both types of project is to provide practical consultancy experience. This will include identifying and applying appropriate statistical techniques to real problems, interpreting the results and presenting the conclusions.
Course description The consultancy style projects will consist of 1 or 2 consecutive projects. Each project will take the form of a statistical problem presented to all the students, with further advice/guidance available in the form of weekly drop-in clinics. An individual written report will be submitted by a given deadline detailing the methods used, results obtained and corresponding interpretation of the results. The students are able to discuss the problem with their peers; however, all statistical analyses and written reports must be their own independent work.
Entry Requirements (not applicable to Visiting Students)
Pre-requisites Co-requisites
Prohibited Combinations Other requirements None
Course Delivery Information
Academic year 2022/23, 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:
  1. Identify and apply appropriate statistical techniques to real application problems.
  2. Ability to write a statistical consultancy style report.
Reading List
None
Additional Information
Graduate Attributes and Skills Not entered
KeywordsDSDS,dissertation,project,consultancy,statistics
Contacts
Course organiserDr Daniel Paulin
Tel:
Email: dpaulin@ed.ac.uk
Course secretaryMiss Gemma Aitchison
Tel: (0131 6)50 9268
Email: Gemma.Aitchison@ed.ac.uk
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