The University of Southampton
Courses

MANG3074 Final Project

Module Overview

This module serves as the final project/dissertation for the students studying Business Analytics and Business Analytics with Placement Year. Each student will be given a dataset and asked to formulate a problem and present solutions for that problem using the techniques and methodologies learnt in their programme of study. In case real datasets are used, the supervisors need to ensure that the data are anonymized and formal consent has been obtained from the companies for using their data. Students are also responsible to check and report this in their ERGO submission.

Aims and Objectives

Module Aims

To provide an opportunity to undertake a sustained piece of individually researched academic study. Inter alia this provides a context within which research skills may be developed and demonstrated.

Learning Outcomes

Knowledge and Understanding

Having successfully completed this module, you will be able to demonstrate knowledge and understanding of:

  • Understand the issues and difficulties of dealing with real datasets
  • Understand the key concepts of problem structuring and formulation
  • Explain various research strategies that must be taken in dealing with the problem
Subject Specific Intellectual and Research Skills

Having successfully completed this module you will be able to:

  • Justify the selection of a chosen problem from the dataset
  • Conduct an extended investigation using various business analytics techniques
  • Critically evaluate the chosen techniques and methodologies, highlighting reliability, validity and limitations, and identify opportunities for further research
  • Integrate theoretical concepts developed throughout your undergraduate learning programme and managerial practice
Transferable and Generic Skills

Having successfully completed this module you will be able to:

  • Formulate problems based on data and observation
  • Communicate effectively

Syllabus

There is no set pattern of study; you proceed at your own pace with your personal supervisor. However, it is anticipated that the following topics will feature: • Structuring and analysing the dataset • Formulating the research questions, aims and objectives; • Identifying and collect extra information if needed • Applying various business analytics techniques and methodologies to formulate a solution • Linking research outcomes to current theory and practice; • Effective communication documents.

Special Features

Students study independently with the support of a tutor.

Learning and Teaching

Teaching and learning methods

Teaching methods include: • Private study • Guided study and research activity as advised by personal supervisor • Practical experience • Personal reflection However, other teaching and activities may be undertaken by some students depending on their particular project. Learning activities include: • Private study guided by the unit handbook • Guided study and research activity as advised by personal supervisor • Practical experience • Personal reflection

TypeHours
Revision45
Wider reading or practice100
Completion of assessment task140
Project supervision5
Preparation for scheduled sessions10
Total study time300

Resources & Reading list

Access to SAS Base Package. 

Assessment

Formative

Supervision sessions

Summative

MethodPercentage contribution
Final project  ( words) 100%

Repeat

MethodPercentage contribution
Final project  (10000 words) 100%

Referral

MethodPercentage contribution
Final project  (10000 words) 100%

Repeat Information

Repeat type: Internal & External

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