Skip to main navigationSkip to main content
The University of Southampton

MANG1007 Management Analysis

Module Overview

MANG1007 Management Analysis seeks to develop and enhance the basic mathematics and statistics knowledge and skills that are relevant to decision making in organisations. MANG1007 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. MANG1007 Management Analysis also develops practical skills linked to quantitative data analysis via computer labs in spreadsheet modelling (MS Excel) and introduction to a statistical computer package for analysing and displaying data (SPSS). This module is not available to students taking Modules: ECON1005, ECON1006, 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 basics of Financial Mathematics;
  • the basic probability concepts;
  • the basic optimisation techniques;
  • the basic decision-modelling techniques;
  • data collection and data presentation techniques.
Subject Specific Intellectual and Research Skills

Having successfully completed this module you will be able to:

  • solve basic mathematics and statistics problems in a business/management context;
  • apply mathematics and statistics knowledge to model common business/management problems.
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:

  • build quantitative models, which aid the solution of management problems and decision making;
  • have familiarity and confidence in the use of mathematical notation and basic mathematical skills used in managerial problem solving.


• Interest rates and value of cash flow • Dynamics of demand, returns and profits • Linear programming for product mix and cost-benefit problems • Decision making under uncertainty • Gambling, lotteries and investment portfolio management • Summarising and communicating data • Simple linear regression • Stock control as an example of optimisation

Learning and Teaching

Teaching and learning methods

Teaching methods include: • Lectures • Tutor-led workshops • Classes • Computer laboratory sessions. Learning activities include: • Handouts and other teaching aids • 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.

Completion of assessment task23
Practical classes and workshops2
Preparation for scheduled sessions25
Wider reading or practice26
Follow-up work15
Total study time150

Resources & Reading list

Waters, D. (2001). Quantitative Methods for Business. 

Morris C. (2000). Quantitative Approaches in Business Studies. 

Swift, L., and Piff, S. (2010). Quantitative Methods for Business, Management and Finance. 

Wisniewski, M. (2002). Quantitative Methods for Decision-Makers. 



Assessment tasks


MethodPercentage contribution
Open Book Exam 100%


MethodPercentage contribution
Written assessment  (2 hours) 100%


MethodPercentage contribution
Written assessment  (2 hours) 100%

Repeat Information

Repeat type: Internal & External


Costs associated with this module

Students are responsible for meeting the cost of essential textbooks, and of producing such essays, assignments, laboratory reports and dissertations as are required to fulfil the academic requirements for each programme of study.

In addition to this, students registered for this module typically also have to pay for:


Recommended texts for this module may be available in limited supply in the University Library and students may wish to purchase the mandatory/additional reading text as appropriate.

Please also ensure you read the section on additional costs in the University’s Fees, Charges and Expenses Regulations in the University Calendar available at

Share this module Share this on Facebook Share this on Twitter Share this on Weibo
Privacy Settings