THE UNIVERSITY of EDINBURGH

DEGREE REGULATIONS & PROGRAMMES OF STUDY 2017/2018

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DRPS : Course Catalogue : Deanery of Clinical Sciences : Pain Management and Critical Care

Postgraduate Course: Data Science in Clinical Research: Research Proposal (PAMA11082)

Course Outline
SchoolDeanery of Clinical Sciences 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 course, along with its co-requisites, is designed to develop the ability to think scientifically and to develop scientific written communication skills. The student will address an individual research challenge by developing a research proposal. Students will complete a literature review that follows expected academic conventions of style, tone, structuring and referencing. They will then develop research questions, understanding appropriate study designs, and developing analytical methods. The research proposal will be written up in the form of a standard grant or fellowship application.

Course description The types of activity involved in response to a specific research challenge will vary but will include most of the following:

- researching the literature and gathering background information
- analysing and extending relevant theory in novel ways
- analysing requirements, comparing alternatives and specifying a solution
- designing and implementing the solution
- developing written presentation skills

The activity will be supervised by a clinical academic within the University Department of Anaesthesia, Critical Care and Pain (or equivalent) and a co-supervisor with expertise in data science/informatics. We encourage co-supervision from the public sector (e.g. NHS) and industry, from which we anticipate a fruitful supply of appropriately challenging research topics.
Entry Requirements (not applicable to Visiting Students)
Pre-requisites Co-requisites
Prohibited Combinations Other requirements None
Course Delivery Information
Academic year 2017/18, Not available to visiting students (SS1) Quota:  None
Course Start Semester 1
Timetable Timetable
Learning and Teaching activities (Further Info) Total Hours: 200 ( Dissertation/Project Supervision Hours 5, Programme Level Learning and Teaching Hours 4, Directed Learning and Independent Learning Hours 191 )
Assessment (Further Info) Written Exam 0 %, Coursework 100 %, Practical Exam 0 %
Additional Information (Assessment) Written Exam 0 %
Coursework 100 %
Practical Exam 0 %
Feedback Not entered
No Exam Information
Learning Outcomes
On completion of this course, the student will be able to:
  1. Search and use appropriately databases of scientific literature
  2. Critically evaluate previous work in the area to structure and summarise a body of knowledge relating to a substantial research topic in data science leading to new hypotheses
  3. Critically engage with the principles of study design to develop a research proposal for their project from formulation of the research questions to analysis of the results
  4. Demonstrate a critical understanding of a range of analytical approaches and of the need to select an appropriate approach for answering their research questions
Reading List
None
Additional Information
Graduate Attributes and Skills Not entered
KeywordsLiterature review,research project,data science,clinical medicine
Contacts
Course organiserDr Nazir Lone
Tel:
Email: nazir.lone@ed.ac.uk
Course secretaryMrs Ruth Macdonald
Tel: (0131) 242 3135
Email: Ruth.MacDonald@ed.ac.uk
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