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Research Dissertation

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:



The analytical skills developed and employed in this module will be applicable across institutions and countries and are multinational in nature.



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.



All of the resources for this module are available on the ELE (Exeter Learning Environment).

Full module specification

Module title:Research Dissertation
Module code:BEEM133
Module level:M
Academic year:2023/4
Module lecturers:
  • Dr Surajeet Chakravarty - Convenor
Module credit:60
ECTS value:






Duration of module:

Module aims

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.

ILO: Module-specific skills

  • 1. Identify an economic problem and apply economic and/or econometric techniques in order to analyse it

ILO: Discipline-specific skills

  • 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

  • 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.

Learning activities and teaching methods (given in hours of study time)

Scheduled Learning and Teaching ActivitiesGuided independent studyPlacement / study abroad
12 hours588 hours

Details of learning activities and teaching methods

CategoryHours of study timeDescription
Contact hours2Initial preparatory sessions
Contact hours10Supervision
Guided Independent Study50Deciding on topic and initial research
Guided Independent Study50Preparing the dissertation proposal
Guided Independent Study350Reading, researching, experiments, data analysis (as appropriate)
Guided Independent Study138Writing up

Formative assessment

Form of assessmentSize of the assessment (eg length / duration)ILOs assessedFeedback method
Discussion of research/project topics, journal articles, and working papers and econometric softwareVarious1,3,6Verbal or written

Summative assessment (% of credit)

CourseworkWritten examsPractical exams

Details of summative assessment

Form of assessment% of creditSize of the assessment (eg length / duration)ILOs assessedFeedback method
Dissertation/project100Maximum 20,000 words1-7Written feedback

Details of re-assessment (where required by referral or deferral)

Original form of assessmentForm of re-assessmentILOs re-assessedTimescale for re-assessment
Dissertation/ProjectRevision of Dissertation/Project, 20,000 words (100 %)1-7November

Re-assessment notes


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).

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.

Module has an active ELE page?


Indicative learning resources - Web based and electronic resources


Indicative learning resources - Other resources

Further guidance will be provided by the Module Convener.

Origin date


Last revision date