Module overview
Management Analysis seeks to develop and enhance the basic mathematics and statistics knowledge and skills that are relevant to decision making in organisations. Management Analysis is a comprehensive module. It covers a wide range of fundamental quantitative techniques as applied in all areas business and management including financial mathematics, linear programming, statistical data and how to summarise it, probability and decision trees, basic differential calculus and its applications in decision making. Management Analysis also develops practical skills linked to quantitative data analysis via computer labs in spreadsheet modelling and introduction to a statistical computer package for analysing and displaying data.
This module is not available to students taking Modules: ECON1005, ECON1008 or ECON1011.
Aims and Objectives
Learning Outcomes
Knowledge and Understanding
Having successfully completed this module, you will be able to demonstrate knowledge and understanding of:
- the basics of Algebra and how it is applied in business;
- the basic probability concepts;
- the basic decision-modelling techniques;
- data collection and data presentation techniques.
- the basic optimisation techniques;
- the basics of Financial Mathematics;
Transferable and Generic Skills
Having successfully completed this module you will be able to:
- critical analysis and decision making skills whether working alone or with a group, quantitative analysis including using spreadsheet tools.
Subject Specific Practical Skills
Having successfully completed this module you will be able to:
- have familiarity and confidence in the use of mathematical notation and basic mathematical skills used in managerial problem solving.
- build quantitative models, which aid the solution of management problems and decision making;
Subject Specific Intellectual and Research Skills
Having successfully completed this module you will be able to:
- apply mathematics and statistics knowledge to model common business/management problems.
- solve basic mathematics and statistics problems in a business/management context;
Syllabus
- Stock control as an example of optimisation
- Linear programming for product mix and cost-benefit problems
- Interest rates and value of cash flow
- Probability and introductory statistics
- Decision making under uncertainty
- Summarising and communicating data
- Simple linear regression
Learning and Teaching
Teaching and learning methods
Teaching methods include:
- Recorded micro lectures
- mini quizzes
- Weekly quizzes
- Classes
- Computer laboratory sessions.
Learning activities include:
- Facilitating learning through group discussions and working in groups on projects related to the material of the course
- Individual learning through using course material on new problem solving exercises.
Type | Hours |
---|---|
Wider reading or practice | 26 |
Lecture | 24 |
Completion of assessment task | 23 |
Follow-up work | 15 |
Seminar | 10 |
Revision | 26 |
Preparation for scheduled sessions | 24 |
Practical classes and workshops | 2 |
Total study time | 150 |
Resources & Reading list
Textbooks
Morris C. (2000). Quantitative Approaches in Business Studies. FT Prentice Hall.
Wisniewski, M. (2002). Quantitative Methods for Decision-Makers. London: Pitman.
Swift, L., and Piff, S. (2010). Quantitative Methods for Business, Management and Finance. Palgrave McMillan.
Waters, D. (2001). Quantitative Methods for Business. FT Prentice Hall.
Assessment
Formative
This is how we’ll give you feedback as you are learning. It is not a formal test or exam.
Assessment tasks
- Assessment Type: Formative
- Feedback: Prompt and individual feedback will be given in the on-line weekly assessment tasks that the student can do from home. Verbal formative feedback is given throughout the module during lectures, classes and one-to-one meetings.
- Final Assessment: No
- Group Work: No
Summative
This is how we’ll formally assess what you have learned in this module.
Method | Percentage contribution |
---|---|
Examination | 80% |
Coursework | 20% |
Referral
This is how we’ll assess you if you don’t meet the criteria to pass this module.
Method | Percentage contribution |
---|---|
Examination | 100% |
Repeat
An internal repeat is where you take all of your modules again, including any you passed. An external repeat is where you only re-take the modules you failed.
Method | Percentage contribution |
---|---|
Examination | 100% |
Repeat Information
Repeat type: Internal & External