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 | ✔ | ✔ | |