THE UNIVERSITY of EDINBURGH

DEGREE REGULATIONS & PROGRAMMES OF STUDY 2022/2023

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

University Homepage
DRPS Homepage
DRPS Search
DRPS Contact
DRPS : Course Catalogue : Royal (Dick) School of Veterinary Studies : Equine Science

Postgraduate Course: Research Methods Data Analysis (Equine Science) (EQSC11046)

Course Outline
SchoolRoyal (Dick) School of Veterinary Studies CollegeCollege of Medicine and Veterinary Medicine
Credit level (Normal year taken)SCQF Level 11 (Postgraduate)
Course typeOnline Distance Learning AvailabilityNot available to visiting students
SCQF Credits20 ECTS Credits10
SummaryThe research methods and data analysis course focuses on an understanding of scientific and statistical concepts; scientific investigation including the importance of collecting appropriate data; efficient data analysis using appropriate statistical methods and statistical and data software packages; as well as gaining the appropriate ethical approval. At the end of this course, students will be able to apply scientific and statistical methods to actual research projects. Attention will also be given to producing a research proposal.
Course description The research methods and data analysis course focuses on an understanding of scientific and statistical concepts; scientific investigation including the importance of collecting appropriate data; efficient data analysis using appropriate statistical methods and statistical and data software packages; as well as gaining the appropriate ethical approval. At the end of this course, students will be able to apply scientific and statistical methods to actual research projects. Attention will also be given to producing a research proposal.

This course is compulsory for students intending to undertake the MSc dissertation.
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
Course Start Date 01/05/2023
Timetable Timetable
Learning and Teaching activities (Further Info) Total Hours: 200 ( Programme Level Learning and Teaching Hours 4, Directed Learning and Independent Learning Hours 196 )
Assessment (Further Info) Written Exam 0 %, Coursework 100 %, Practical Exam 0 %
Additional Information (Assessment) Statistics assignment (50%)
Research proposal (50%)
Feedback Feedback is defined as information to students which allows them to review what they know, understand and can do in their studies. Feedback is also important to identify areas for improvement, for example course feedback surveys and a response from the equine science team to previous year's course survey are available on each course. Staff Student Liaison meetings are also another valuable way in which feedback from students can be received.

Opportunities for feedback arise during timetabled courses, for example during live session tutorials, discussion boards, emails, telephone communication and in person/on campus. Feedback can be provided on coursework assignments but also activities which are not formally assessed, for example class discussion on the discussion board, group exercise, problem-solving and developing project plans and proposals. A formative task is provided in each course which provides formative feedback prior to the student submitting their first piece of assessed course work.

All assignments, including the formative assessment, will be marked and feedback is provided within a period of fifteen working days (where possible) following the submission date (excluding holidays periods whereby the University of closed, e.g. over the Christmas period)
No Exam Information
Learning Outcomes
On completion of this course, the student will be able to:
  1. Demonstrate a critical understanding of scientific and statistical concepts
  2. Design and plan a research proposal with consideration to analysis of data (using statistical and data analysis software)
  3. Undertake critical evaluations of a range of numerical and graphical data and communicate findings
Reading List
None
Additional Information
Graduate Attributes and Skills Not entered
KeywordsMethodology,statistics,data,science,communication
Contacts
Course organiserMrs Bryony Lancaster
Tel: (0131 6)50 8783
Email:
Course secretaryMrs Elizabeth Wright
Tel: (0131 6)50 6272
Email:
Navigation
Help & Information
Home
Introduction
Glossary
Search DPTs and Courses
Regulations
Regulations
Degree Programmes
Introduction
Browse DPTs
Courses
Introduction
Humanities and Social Science
Science and Engineering
Medicine and Veterinary Medicine
Other Information
Combined Course Timetable
Prospectuses
Important Information