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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
SummaryThis course is a practical and applied introduction to essential statistics and study design for equine research.
Course description Students will demonstrate an understanding of: scientific and statistical concepts; scientific investigation including the importance of collecting data of the highest possible quality; efficient data analysis using appropriate statistical methods and statistical and data software packages; as well as gaining the appropriate ethical approval. By the end of this course, students will be able to apply scientific and statistical methods to actual research projects. Students will also produce their own research proposal, liaising with industry or research experts.

This fully online course is delivered in a flexible but structured format, providing opportunities to network, enhance skills, and prepare students to apply knowledge and understanding to real-life scenarios, which can enhance existing professional or amateur equine practice.

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 2024/25, Not available to visiting students (SS1) Quota:  None
Course Start Flexible
Course Start Date 05/08/2024
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) Assessment 1: Project Proposal (50% weighting).
Assessment 2: MCQs on Scientific and Statistical concepts (50% weighting).
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
  4. Manage complex ethical and professional issues and make informed judgements on issues related to Equine Science.
Reading List
Additional Information
Graduate Attributes and Skills Not entered
KeywordsStatistical concepts,Scientific Investigation,Data collection,Ethical approval,Project proposal
Course organiserMrs Bryony Lancaster
Tel: (0131 6)50 8783
Course secretaryMs Stephanie Easton
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