BS2SX2 - Business Analytics for Management and Financial Decision Making 06 Jul 2023 - 31 Aug 2027 | Version 4

Associated Module Information

Module Code: BS2SX2
Module Title: Business Analytics for Management and Financial Decision Making
Faculty: Faculty of Business and Creative Industries
Faculty Group: Business Management
Faculty Sub Group: Business Management
Module Leader: Jayde Howard
Module Team: Chibuzo Amadi, Liam Newton, Greenford Kambimbi, Adam Poole, Tammy Laugharne
First Intended Intake: SEP 2019 Final Year of Intake:
Date Closed:
Credit Value: 20 Credit Level: 5
Language: English
Percentage of Module Taught in Welsh: 0
Equivalent Module:
HECOS codes:
HECOS Code Weighting:

Document Version Information

Version 4
Valid From 06 Jul 2023
Valid To 31 Aug 2027

Module Aims

The aims of the module are to support students in developing the ability to justify management and financial decisions using a clear evidence-base, drawing on qualitative and financial data.

Students will interpret quantitative data in order to produce clearly articulated and relevant qualitative narrative to explain the meaning behind the numbers.

The module will support students in developing business analytics, financial interpretation and numeracy skills for both application in the workplace and when collecting, interpreting and analysing their primary data in their final year research projects/dissertations.

Content Summary

The content summary indicates the topics in the module that will be studied:
Section 1: Tools and Techniquesfor Management Decision Making:
Consider some of the major aspects of decision making in organisations, including discussing and using an Evidence Based Decision Making (EBDM) model.
Demonstrate and put in practice some of the techniques that businesses use to inform and manage decision making.
To consider the systems that organisations use to manage their projects.

Section 2 – Measures of Business Performance
Explore a range of quantitative methods that organisations utilise to measure their performance, considering the universal core concepts of marketing, HRM, finance and operations management.
Use some of the mathematical and statistical tools necessary for quantitative analysis of a businesses performance.
Interpret and use multiple sources of data to make decisions and provide management insight.

Section 3 – Tools and Techniques of Financial Decision Making
How to use value measurements (financial and non-financial) such as return on investment.
Analysis and interpretation of financial information including cash flow, profit and loss accounts and balance sheets using various techniques to inform management decision making.
Explain how financial information systems within business organisations aid senior managers in planning and controlling activities, with particular reference to the role of budgets and variances.
Investment in new or expanded facilities based on evaluation of projected financial returns using investment appraisal techniques.

Key and Employability Skills
Demonstrate interpretive and analytical skills involved in managementand financial decision making.

Synthesise information, both quantitative and qualitative from academic sources in a scholarly way and present findings in a clear manner.

How to interpret and use multiple sources of data to make decisions and provide management insight. Such as the resources provided by the CIPD. Use of the statistical and analytical tools to create business reports, format and presenting these in a professional fashion.

Students will have the opportunity to apply tools to specific data-sets such as the FAME database, MINTEL, the Office for National Statistics (ONS) and others. In order to extrapolate meaning pertinent to the students degree programme.

This module forms part of the CMI Certificate/Diploma for BA (Hons) Business and Management (including the Event and Entrepreneurship pathways). It maps to CMI Unit 521 Using Data and Information for Decision Making.

Learning and Teaching Methods

Activity Type Hours
Lecture 10
Practical classes and workshops 20
Independent Study 90
Directed Study 60
Formative Assessment - Independent 2
Active/Simulation Based 10
Groupwork 8
Total Hours Selected 200

Learning Outcomes

# Learning Outcome
LO1 Identify, perform and draw applied conclusions from a range of appropriate quantitative techniques and financial/ non-financial data sources to analyse data used to inform management decisions
LO2 Demonstrate an ability to apply evidence-based decision-making in addressing real world, practice-relevant issues in the field of a student’s study.

Module Requisites

N/A

Assessment Criteria

Assessment Category Assessment Type Description Duration Word Count Weight (%) Best of? Pass Mark
Synchronous Onsite Assessment Classroom Test - Time Constrained (Onsite) 1 In- class assessments that requires the analysis and interpretation of data. 60 N/A 40 No 40
Asynchronous Assessment Portfolio 1 A portfolio of tasks including an individual consultative report, where students consider a set of given management issues, as well as in class activities designed to build students’ knowledge and awareness of management issues. 0 2500 60 No 40

Assessment Matrix

Assessment Type Learning Outcomes
LO1 LO2
Classroom Test - Time Constrained (Onsite) 1
Portfolio 1

Reading List

Anon (2018) HBR guide to data analytics basics for managers. Boston, Massachusetts: Harvard Business Review Press.

Hall, D., et al (2010) Business Studies, 4th ed. Harlow: Pearson

Boddy, D., (2011) Management an introduction, 5th ed. Harlow: Pearson

Clegg, S.R., Kornberger, M. and Pitsis, T., (2019). Managing and organizations: An introduction to theory and practice. 5th ed. London: Sage

Salkind, N. J. & Frey, B. B. (2020) Statistics for people who (think they) hate statistics. 7th edition. London: SAGE Publications.

Oakshott, L. (2016) Essential quantitative methods for business, management and finance. Sixth edition. Basingstoke, Hampshire: Palgrave Macmillan.

McLaney, E. and Atrill, P. (2014) Accounting: An Introduction. (7th Edition). London: Pearson.