Research Dissertation
| Module title | Research Dissertation |
|---|---|
| Module code | BEEM133 |
| Academic year | 2023/4 |
| Credits | 60 |
| Module staff | Dr Surajeet Chakravarty (Convenor) |
| Number students taking module (anticipated) | 10 |
|---|
Module description
In this module, you will write an Academic Dissertation. The Academic Dissertation allows you to demonstrate your ability at identifying and analysing an economic problem using the techniques of economic and/or econometric analysis. You will come up with your own choice of topic, which can be theoretical or empirical in nature and manage self-driven enquiry and write up a piece of research. You are encouraged to seek your own supervisor.
The supervision arrangement for the academic dissertation will consist of one member of faculty.
Additional Information:
Internationalisation
The analytical skills developed and employed in this module will be applicable across institutions and countries and are multinational in nature.
Employability
By solving statistical mathematical problems and exercises, students are equipped with practical problem-solving skills, theoretical skills, and an understanding of mathematical relationships. All of these are highly valuable to progression in the academic profession and to employers.
Sustainability
All of the resources for this module are available on the ELE (Exeter Learning Environment).
Module aims - intentions of the module
The aim of the dissertation is to allow you to develop skills to identify and analyse an economic problem. You will acquire knowledge of the existing literature, identify the key economic trade-offs, acquire necessary tools to analyse these trade-offs, and analyse the economic problem using economic and/or econometric techniques.
Intended Learning Outcomes (ILOs)
ILO: Module-specific skills
On successfully completing the module you will be able to...
- 1. Identify an economic problem and apply economic and/or econometric techniques in order to analyse it
ILO: Discipline-specific skills
On successfully completing the module you will be able to...
- 2. Relate real-life problems to subject specific knowledge examined through previous and current modules.
- 3. Assemble and synthesise a complex body of existing relevant research.
- 4. Utilise appropriate analytical or statistical techniques to reach an answer to a previously defined research question.
- 5. For empirical dissertations, utilise existing data sets or generate new ones through experiments/questionnaires.
ILO: Personal and key skills
On successfully completing the module you will be able to...
- 6. Pursue, under supervision, a sustained program of individual work outside of a classroom setting.
- 7. Evaluate critically existing ideas and perceive areas of weakness or areas which may be usefully analysed.
- 8. Complete, as an individual, a multistage task within a defined period, as assisted by the supervision process.
Syllabus plan
Stage 1: Dissertation proposals as agreed with module convenor
Stage 2: Proposal submission and assessment
Stage 3: Writing and submission of dissertation to a deadline in September (exact date to be announced).
Learning activities and teaching methods (given in hours of study time)
| Scheduled Learning and Teaching Activities | Guided independent study | Placement / study abroad |
|---|---|---|
| 12 hours | 588 hours |
Details of learning activities and teaching methods
| Category | Hours of study time | Description |
|---|---|---|
| Contact hours | 2 | Initial preparatory sessions |
| Contact hours | 10 | Supervision |
| Guided Independent Study | 50 | Deciding on topic and initial research |
| Guided Independent Study | 50 | Preparing the dissertation proposal |
| Guided Independent Study | 350 | Reading, researching, experiments, data analysis (as appropriate) |
| Guided Independent Study | 138 | Writing up |
Formative assessment
| Form of assessment | Size of the assessment (eg length / duration) | ILOs assessed | Feedback method |
|---|---|---|---|
| Discussion of research/project topics, journal articles, and working papers and econometric software | Various | 1,3,6 | Verbal or written |
Summative assessment (% of credit)
| Coursework | Written exams | Practical exams |
|---|---|---|
| 100 | 0 | 0 |
Details of summative assessment
| Form of assessment | % of credit | Size of the assessment (eg length / duration) | ILOs assessed | Feedback method |
|---|---|---|---|---|
| Dissertation/project | 100 | Maximum 20,000 words | 1-7 | Written feedback |
| 0 | ||||
| 0 | ||||
| 0 | ||||
| 0 | ||||
| 0 |
Details of re-assessment (where required by referral or deferral)
| Original form of assessment | Form of re-assessment | ILOs re-assessed | Timescale for re-assessment |
|---|---|---|---|
| Dissertation/Project | Revision of Dissertation/Project, 20,000 words (100 %) | 1-7 | November |
Re-assessment notes
None.
Indicative learning resources - Basic reading
Students will develop a bibliography/reference list relevant to their particular topic, under the guidance of their supervisor. The literature varies from topic to topic and will include textbooks and recent research articles.
Indicative learning resources - Web based and electronic resources
ELE.
Indicative learning resources - Other resources
Further guidance will be provided by the Module Convener.
| Credit value | 60 |
|---|---|
| Module ECTS | 30 |
| Module pre-requisites | None. |
| Module co-requisites | None. |
| NQF level (module) | 7 |
| Available as distance learning? | No |
| Origin date | 01/01/2016 |
| Last revision date | 08/12/2021 |
