BSc Accounting

Year of entry: 2024

Course unit details:
Quantitative Methods for Accounting and Finance

Course unit fact file
Unit code BMAN10750
Credit rating 20
Unit level Level 1
Teaching period(s) Full year
Available as a free choice unit? No


Semester 1
•    Basics: mathematical operators, algebra, liner relationships
•    Descriptive statistics
•    Probability theory and random variables
•    Probability distributions
•    Statistical inference (confidence interval and hypothesis (significance) testing)
•    Mean of one sample and difference between means of two samples
•    Covariance and correlation
•    Linear regression

Semester 2
•    Logarithms, quadratic equations
•    Functions and curves
•    Differentiation and integration
•    Partial differentiation
•    Matrix algebra
•    Linear programming
•    Time and money
•    Payoff matrices and decision trees
•    Simulation
•    Time series and forecasting

Lectures, seminars and the text book form the definitive course material. Wherever possible lectures and seminars will follow the notation and conventions used in the core text book.

All lecture and seminar materials will be available via Blackboard.


Core for BSc Accounting w/without IPE and BSc Business Accounting with IPE.

Core module for BSc Accounting and BSc Business Accounting. 


The course aims to allow students to understand quantitative and statistical modelling

and analytical techniques to a level necessary for quantitative finance. Some quantitative finance examples will be used, and students will be introduced to implementing tools
using Excel.

The course will prepare students for 2nd and final year courses including: BMAN23000 (A) & (B) Foundations of Finance, BMAN30091 Financial Derivatives, and BMAN30242 Financial Engineering.



Learning outcomes

On successful completion students will be able to understand the mechanics of the tools covered including their assumptions and limitations, understand their place in accounting and finance, apply the tools to a small dataset with the aid of a calculator, and apply the tools to larger datasets using Excel.


Teaching and learning methods

Lecture hours: 46

Seminar hours: 22

Total study hours: 200 hours split between lectures, classes, self-study and preparation for classes, coursework and examinations.

Employability skills

Using information technology especially Excel spreadsheets in analysing and communicating statistical information will increase students’ set of transferable skills and employability. In addition, BMAN10750 will teach numeracy and problem solving skills both vital skills that enhance employability.

Assessment methods

100% by exam: 2 exams with formula sheets: One in each exam period (January and May).


Feedback methods

Feedback methods include informal advice and discussion during lectures and seminars, responses to student emails and questions from a member of staff and generic feedback posted on Blackboard regarding overall examination performance.




Recommended reading

Core textbook

Swift, L. & Piff, S. 2014. Quantitative Methods for Business Management and Finance, Palgrave Macmillan, 4th edition.
Chapter 1 - 4 (Essential Maths 1-4) to be read before lecture 1.

You are strongly advised to read the appropriate pages of the core text book before attending the relevant lectures and seminars. The lectures will be about discussing and expanding upon the material rather than the primary method of delivering the detail of the topics.

Study hours

Scheduled activity hours
Assessment written exam 3
Lectures 46
Seminars 22
Independent study hours
Independent study 133

Teaching staff

Staff member Role
Thomas Schleicher Unit coordinator
Liang Xu Unit coordinator

Additional notes

Pre-requisite course: n/a

Co-requisite course: n/a

Dependent courses: n/a

Programme restrictions: BSc Accounting and BSc Business Accounting students only

For Academic Year 2023/24

Updated: March 2023

Approved by: March UG Committee

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