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DEGREE REGULATIONS & PROGRAMMES OF STUDY 2025/2026

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

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DRPS : Course Catalogue : School of Economics : Economics

Undergraduate Course: Research Methods in Economics (ECNM10121)

Course Outline
SchoolSchool of Economics CollegeCollege of Arts, Humanities and Social Sciences
Credit level (Normal year taken)SCQF Level 10 (Year 4 Undergraduate) AvailabilityNot available to visiting students
SCQF Credits20 ECTS Credits10
SummaryOne-semester course which can be taken instead of a dissertation. Provides a structured introduction to research in economics with an applied focus. The main goal of the course is the production of a project paper. Detailed guidance is provided in the Research Methods in Economics Course Outline.
Course description Not entered
Entry Requirements (not applicable to Visiting Students)
Pre-requisites Co-requisites
Prohibited Combinations Students MUST NOT also be taking Economics Honours Dissertation (ECNM10030)
Other requirements This course is available to students on the MA (Hons) Economics programme only.
Course Delivery Information
Academic year 2025/26, Not available to visiting students (SS1) Quota:  None
Course Start Semester 1
Timetable Timetable
Learning and Teaching activities (Further Info) Total Hours: 200 ( Lecture Hours 6, Seminar/Tutorial Hours 8, Programme Level Learning and Teaching Hours 4, Directed Learning and Independent Learning Hours 182 )
Assessment (Further Info) Written Exam 0 %, Coursework 100 %, Practical Exam 0 %
Additional Information (Assessment) 30% research proposal, max 2000 words
70% final project, max 4000 words
Feedback The feedback will be provided through interaction with tutor in tutorial labs, as well as written/verbal feedback on the submitted research proposal.
No Exam Information
Learning Outcomes
On completion of this course, the student will be able to:
  1. Demonstrate knowledge and understanding of the tools, strategies and methodologies relevant for econometric analysis of a selected topic, as well the literature related to the topic, including recent research at, or close to, the frontiers of knowledge
  2. Research and investigative such as problem framing and solving and the ability to assemble and evaluate complex evidence and arguments.
  3. Demonstrate communication skills in order to critique, create and communicate understanding and to collaborate with and relate to others.
  4. Demonstrate personal effectiveness and intellectual autonomy, which include but are not limited to: time- and task-management, working independently, proactively engaging with their tutor, dealing with uncertainty and adapting to new situations.
  5. Demonstrate practical/technical skills such as, modelling skills (abstraction, logic, succinctness), qualitative and quantitative analysis and interpretation of data, programming of statistical packages and general IT literacy.
Reading List
None
Additional Information
Graduate Attributes and Skills Not entered
KeywordsNot entered
Contacts
Course organiserDr Andreas Steinhauer
Tel: (0131 6)51 5945
Email: andreas.steinhauer@ed.ac.uk
Course secretaryMs Sam Stewart
Tel:
Email: v1sstew7@ed.ac.uk
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