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DEGREE REGULATIONS & PROGRAMMES OF STUDY 2025/2026

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DRPS : Course Catalogue : School of Mathematics : Mathematics

Postgraduate Course: Statistical Research Skills (MATH11188)

Course Outline
SchoolSchool of Mathematics CollegeCollege of Science and Engineering
Credit level (Normal year taken)SCQF Level 11 (Postgraduate) AvailabilityNot available to visiting students
SCQF Credits10 ECTS Credits5
SummaryThe course will prepare MSc Statistics students for their dissertations providing experience of research-related techniques and skills.
Course description Topics to be covered within the course may include:
- Presentation and writing skills.
- Data analytic pipeline.
- Critical statistical thinking.
- Data science ethics.
Entry Requirements (not applicable to Visiting Students)
Pre-requisites Co-requisites
Prohibited Combinations Other requirements Available to students enrolled on Statistics with Data Science MSc and Statistics with Operational Research MSc degree programmes only
Course Delivery Information
Academic year 2025/26, Not available to visiting students (SS1) Quota:  None
Course Start Semester 2
Timetable Timetable
Learning and Teaching activities (Further Info) Total Hours: 100 ( Lecture Hours 10, Seminar/Tutorial Hours 10, Programme Level Learning and Teaching Hours 2, Directed Learning and Independent Learning Hours 78 )
Assessment (Further Info) Written Exam 0 %, Coursework 100 %, Practical Exam 0 %
Additional Information (Assessment) Coursework 100%
Feedback Not entered
No Exam Information
Learning Outcomes
On completion of this course, the student will be able to:
  1. Demonstrate confidence in their communication skills.
  2. Understand and apply a statistical approach to a problem.
  3. Apply critical statistical thinking.
  4. Be confident that they are prepared for their summer dissertations.
Reading List
None
Additional Information
Graduate Attributes and Skills Not entered
KeywordsSRS,Skills,Statistics
Contacts
Course organiserMr Grégoire Clarte
Tel:
Email: gclarte@ed.ac.uk
Course secretaryMiss Kirstie Paterson
Tel:
Email: Kirstie.Paterson@ed.ac.uk
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