Course unit details:
Quantitative Methods for Business and Management

Course unit fact file
Unit code BMAN10960
Credit rating 20
Unit level Level 1
Teaching period(s) Full year
Offered by Alliance Manchester Business School
Available as a free choice unit? No

Overview

This is an introductory course on the fundamental principles, problem areas and techniques of Quantitative Methods for Business and Management. The course covers the basic concepts of statistics and financial mathematics (Semester 1), modelling and analysis for supporting decision making (Semester 2). The main concepts are introduced through examples of applications. Tools used include basic algebra, graphing and MS Excel. Although the course is essentially mathematical in nature, a rigid mathematical treatment is avoided; the necessary mathematical concepts are derived from examples rather than through proofs. 

Pre/co-requisites

This course is core for first year students on BSc Management / Management (specialism), BSc International Management, BSc International Management with American Business Studies.

Pre-requisites: N/A
Co-requisites: None
Dependent courses:
•    BMAN24621 Business Data Analytics
•    BMAN31152 Decision Analysis for Business & Management

Programme Restrictions: This course is core for first year students on BSc Management / Management (specialism), BSc International Management.
 

Aims

To introduce students to the fundamental principles, problem areas, and techniques of Quantitative Methods for Business and Management. Students will be taught the basic concepts of modelling and analysis for supporting decision making. Concepts are introduced through examples of applications. Tools used include basic algebra, graphing and spreadsheet software.

 

Learning outcomes

At the end of the course students should be able to:

  • Apply basic mathematical operations and perform basic algebra
  • Appreciate the use of scientific methodology in Management
  • Understand issues in the collection and analysis of quantitative data for supporting management decision making
  • Understand and apply a range of basic statistical methods
  • Understand and apply basic techniques used in the mathematics of finance
  • Recognise patterns in data
  • Appreciate the value and limitations of using quantitative models for supporting decisions
  • Develop and analyse functions to provide information to decision makers
  • Apply basic models to problems and data sets, analyse these models and provide information to decision makers
  • Use spreadsheet tools to display and analyse data and models.

 

Syllabus

Semester 1

- Data collection and sampling

- Presenting and grouping data  

- Summarising data

- Set notation and probability

- Index numbers

- Compound interest and growth

- Discounting and reduced balance depreciation

- Savings endowments and sinking funds

- Loans, mortgages, and annuities

- Investment decisions (e.g., NPV, IRR)

 

Semester 2

- Modelling relationships and linear functions

- Least squares regression

- Quadratic and polynomial functions

- Hyperbolic and exponential functions

- Multivariate functions and an introduction to analysis

- An introduction to time series

- An introduction to forecasting

- An introduction to decision analysis

- An introduction to linear programming 

Teaching and learning methods

Semester 1:

- Lectures: 10 hours  

   -- 10 x 1 hours face-to-face

- Case Lectures: 6 hours  

   -- 3 x 2 hours face-to-face

- Maths Surgeries: 5 hours (these are optional sessions)

   -- 5 x 1 hours face-to-face

Semester 2:

- Lectures: 20 hours  

   -- 10 x 2 hours face-to-face

- Case Lectures: 3 hours  

   -- 3 x 1 hours face-to-face

- Maths Surgeries: 5 hours (these are optional sessions)

   -- 5 x 1 hours face-to-face

Private study: 151 hours

Total study hours: 200 hours split between lectures, self-study and preparation for classes, case-studies

Weekly online asynchronous quizzes provide opportunities for formative feedback and re-enforce understanding of the course content. 

Knowledge and understanding

Understand issues in the collection and analysis of quantitative data for supporting management decision making

Understand and apply a range of basic statistical methods

Understand and apply basic techniques used in the mathematics of finance

Appreciate the use of scientific methodology in Management

Intellectual skills

Apply basic mathematical operations and perform basic algebra

Recognise patterns in data

Appreciate the value and limitations of using quantitative models for supporting decisions 

Practical skills

Use spreadsheet tools to display and analyse data and models 

Transferable skills and personal qualities

Develop and analyse functions to provide information to decision makers

Apply basic models to problems and data sets, analyse these models and provide information to decision makers 

Employability skills

Other
We believe the following transferable skills are exercised in this module: Analytical skills Decision making IT skills Numeracy skills Problem solving Research

Assessment methods

Final exam (one per semester) 100% (50% per semester)
 

Feedback methods

  • Informal advice and discussions during lectures, case  lectures and math surgeries
  • Formative self-tests available in the VLE
  • Responses to student emails and feedback provided via the online discussion forum.
  • Generic feedback posted on the VLE regarding overall examination performance.

Recommended reading

CORE Text: Les Oakshott (2020),Essential Quantitative Methods, Bloomsbury 

Study hours

Scheduled activity hours
Lectures 39
Seminars 12
Independent study hours
Independent study 149

Teaching staff

Staff member Role
Panagiotis Sarantopoulos Unit coordinator

Fees and funding

Fees

Tuition fees for home students commencing their studies in September 2027 will be £10,050 per annum. Tuition fees for international students will be £35,300 per annum.

For general information please see the undergraduate finance pages.

You will receive a significant tuition fee discount for the placement year. UK students with a household income of up to £35,000 are also eligible to receive a  cash bursary  worth up to £2,000.

Additional expenses

All students should normally be able to complete their programme of study without incurring additional study costs over and above the tuition fee for that programme

Policy on additional costs

All students should normally be able to complete their programme of study without incurring additional study costs over and above the tuition fee for that programme. Any unavoidable additional compulsory costs totalling more than 1% of the annual home undergraduate fee per annum, regardless of whether the programme in question is undergraduate or postgraduate taught, will be made clear to you at the point of application. Further information can be found in the University's Policy on additional costs incurred by students on undergraduate and postgraduate taught programmes (PDF document, 91KB).

Scholarships/sponsorships

We know that student finance can be complicated. The links below provide further information to help guide you.

Learn more about student finance options for UK students.

Learn more about fees and finance for international students.

As an international student you may be eligible for our Global Futures Scholarships . This is open to students starting their studies in September 2027.

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