Module and Programme Catalogue

Search site

Find information on

2024/25 Taught Postgraduate Module Catalogue

LUBS5579M Business Analytics and Decision Sciences Dissertation

60 creditsClass Size: 200

Module manager: Romain Crastes dit Sourd

Taught: 1 Jan to 31 Oct View Timetable

Year running 2024/25

Module replaces

LUBS 5578M (45 credits) and LUBS 5582M

This module is not approved as an Elective

Module summary

The dissertation is an extended piece of research work during which you apply some of the skills and techniques gained on your programme. It provides the opportunity to explore an area of interest relevant to your degree programme in greater detail and to produce a final written report. You are allocated a supervisor who will work with you on a one-to-one basis and may also facilitate some small group meetings in addition to one-to-one supervision.


The aim of the module is to give students the opportunity to demonstrate the independent research skills necessary to define, conduct and report a substantial piece of research in business analytics and/or decision sciences. This module will provide students with the opportunity to develop a deep knowledge of their chosen area of study and demonstrate self-motivation and effective time management skills which will be necessary to successfully complete a work of this magnitude over a sustained period.

Learning outcomes
Upon completion of this module students will be able to:

1. Design a research project and write a research proposal
2. Locate, extract, analyse and critically evaluate arguments, data and information from the academic literature.
3. Produce a focused, critical literature review in an area of business analytics or decision sciences.
4. Identify and articulate clear research questions or hypotheses derived from the literature review
5. Justify their chosen research design
6. If appropriate, conduct field work, including the collection of qualitative or quantitative, survey based or archival data
7. Critically analyse primary and / or secondary data
8. Apply the appropriate ethical dimensions of research for their specific research in the context of management and business
9. Clearly articulate the research findings appropriately within the subject area
10. Independently manage their own research project
11. Critically evaluate research methods
12. Critically assess a research paper

Skills outcomes
Research Skills, Time Management, Planning & organisation


- Write a research proposal

- Critically evaluate previous research

- Identify research questions, extract relevant information and define justifiable conclusions

- Use current communication and information technology

- Find, evaluate and acknowledge and reference research sources

- Structure and communicate complex quantitative and /or qualitative information, ideas, analysis, argument and commentary in an appropriate academic format

- Exercise effective time management skills

- Write an article in the format of a journal paper

Teaching methods

Delivery typeNumberLength hoursStudent hours
Private study hours573.00
Total Contact hours27.00
Total hours (100hr per 10 credits)600.00

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

Assessment typeNotes% of formal assessment
EssayResearch Proposal (2000 words)15.00
Assignment(2000 words)10.00
Essay or DissertationDissertation (10,000 words)75.00
Total percentage (Assessment Coursework)100.00

The resit for this module will be 100% by 10,000 words dissertation

Reading list

There is no reading list for this module

Last updated: 29/04/2024 16:16:22


Browse Other Catalogues

Errors, omissions, failed links etc should be notified to the Catalogue Team.PROD

© Copyright Leeds 2019