- UCAS course code
- N403
- UCAS institution code
- M20
This course is unavailable through clearing
BSc Business Accounting with Industrial/Professional Experience
Year of entry: 2024
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Course unit details:
Quantitative Methods for Accounting and Finance
Unit code | BMAN10750 |
---|---|
Credit rating | 20 |
Unit level | Level 1 |
Teaching period(s) | Full year |
Available as a free choice unit? | No |
Overview
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.
Pre/co-requisites
Core module for BSc Accounting and BSc Business Accounting.
Aims
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
- Other
- 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