- UCAS course code
- N248
- UCAS institution code
- M20
Bachelor of Science (BSc)
BSc Management (International Business Economics) with Industrial/Professional Experience
Study management with a focus on international business and gain real-world experience through a placement year.
- Typical A-level offer: AAA
- Typical contextual A-level offer: ABB
- UK refugee/care-experienced offer: BBB
- Typical International Baccalaureate offer: 36 points overall with 6,6,6 at HL
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Course unit details:
Quantitative Methods for Business and Management
| 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
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.
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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