2020/21 Undergraduate Module Catalogue

LUBS3316 Dissertation for Accounting, Banking and Finance

30 creditsClass Size: 50

Module manager: Fabian Gogolin
Email: F.Gogolin@leeds.ac.uk

Taught: Semesters 1 & 2 (Sep to Jun) View Timetable

Year running 2020/21

Pre-requisites

LUBS2225

Credit and Financial Analytics

Module replaces

LUBS3315 Accounting and Finance Dissertation

This module is not approved as a discovery module

Module summary

Completing a dissertation gives you the opportunity to conduct a final year research project allowing development of a deep knowledge of contemporary theories and relevant empirical research evidence in your chosen research field. The module also provides the opportunity to demonstrate the independent research skills necessary to define conduct and report a substantial piece of empirical research in accounting, banking and finance.

Objectives

The aim of this module is to give students the independent research and evaluation skills necessary to define conduct and report a substantial piece of empirical research in the fields of accounting, banking or finance. This module provides students with deep knowledge of their chosen area of study and the self-motivation and effective time management skills necessary to successfully complete a work of this magnitude over a sustained period.

Learning outcomes
Upon successful completion of this module students will be able to:
- Define, abstract and simplify a research question to identify and model the core of their research topic
- Summarise and critically evaluate some key contemporary theories and relevant empirical research evidence in the fields of accounting, banking, corporate finance, risk and the operation of capital markets
- Put their own research in context within the existing body of knowledge in accounting and finance and explain the implications and relevance of the current knowledge boundaries
- Select, apply and describe an appropriate statistical methodology for the analysis of their research question

Skills outcomes
On successful completion of this module students will be able to:
Transferable
- Apply numerical and statistical skills to analyse financial and other numerical data using current communication and information technology
- Apply intelligent scepticism in independently locating, extracting, analysing and critically evaluating arguments, data and information from the academic literature
- Find, evaluate and acknowledge and reference appropriate research sources
- Structure and communicate complex quantitative and qualitative information, ideas, analysis, argument and commentary in an appropriate academic format
- Deploy effective time management skills over a sustained period

Subject Specific
- Apply the research skills necessary to identify key contemporary theories and relevant empirical research evidence in their chosen research field which could cover accounting, banking, corporate finance, risk and the operation of capital markets
- Identify, collate, structure and analyse financial data necessary to answer the research question using appropriate statistical techniques

Syllabus

Indicative content
The syllabus for this module reflects the stages of a research project and will vary according to the research project selected. The syllabus will typically include: defining the research project, literature review, project planning, identifying a conceptual framework, developing a hypothesis/research question, data collection/review, data analysis, research conclusions, recommendations for future research, and writing up the research project.

Teaching methods

Delivery type	Number	Length hours	Student hours
Supervision Meetings	5	1.00	5.00
presentation	1	2.00	2.00
Lecture	4	2.00	8.00
Private study hours			285.00
Total Contact hours			15.00
Total hours (100hr per 10 credits)			300.00

Private study

This could include a variety of activities, such as reading, watching videos, question practice and exam preparation.

Opportunities for Formative Feedback

Your teaching methods could include a variety of delivery models, such as face-to-face teaching, live webinars, discussion boards and other interactive activities. There will be opportunities for formative feedback throughout the module.

Methods of assessment

Coursework

Assessment type	Notes	% of formal assessment
Essay or Dissertation	8,000 words final submission	100.00
Total percentage (Assessment Coursework)		100.00

The dissertation, if failed, can be rewritten and resubmitted for a maximum resit mark of 40%, by the August exam period. Unlike other LUBS modules it cannot be replaced by a written exam. This reflects the high credit and variable nature of the dissertation as well as its vital importance in developing level 3 skills.

Reading list

There is no reading list for this module

Last updated: 10/08/2020 08:41:47

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