This dissertation is based on self-directed study, which allows students to develop a complete piece of work within the general field of economics, from an initial idea through to a final written report. Learning is largely independent and self-directed, but is supported by lectures at the beginning of the course, structured supervision from a dissertation supervisor and computing sessions to help in accessing, coding, analysing and interpreting data. The dissertation will, in most instances, be closely related to the work tasks of the apprentice and the topic will be agreed by the line manager, independent assessor and the dissertation module convenor.
Directed learning time 75 hours
Private study time 225 hours
Total study hours: 300
Available only on Economics BSc (Professional Economist) course
Dissertation report (8,000 words) and Presentation (45 minutes) 100%
Reassessment method: like for like.
The University is committed to ensuring that core reading materials are in accessible electronic format in line with the Kent Inclusive Practices.
The most up to date reading list for each module can be found on the university's reading list pages.
Drew, S. and Bingham, R. (2010). The Guide to Learning and Study Skills for Higher Education and at Work. Gower.
McMillan, K. and Weyers, J. (2011). How to write Dissertations and Project reports. (2nd ed), Pearson.
Students will be directed to specific readings by their dissertation supervisor and other academic staff.
On successfully completing the module students will be able to:
8.1 Frame, motivate and analyse a research question
8.2 Decide on appropriate techniques and investigation strategies to answer a research question
8.3 Search, analyse, understand and critically review a large body of literature
8.4 Critically reflect and learn from set-backs in the research process
8.5 Demonstrate a contribution towards an understanding of the topic of investigation
8.6 Demonstrate a critical and in-depth knowledge of one particular area of economics
8.7 Demonstrate research skills such as survey design, data management/analysis, econometrics, programming, etc
University of Kent makes every effort to ensure that module information is accurate for the relevant academic session and to provide educational services as described. However, courses, services and other matters may be subject to change. Please read our full disclaimer.
