BSc Accounting with Industrial/Professional Experience / Course details
Year of entry: 2022
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Course unit details:
Quantitative Methods for Accounting and Finance
|Unit level||Level 1|
|Teaching period(s)||Full year|
|Offered by||Alliance Manchester Business School|
|Available as a free choice unit?||No|
• 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, proportions
• Covariance and correlation
• Linear regression
• Logarithms, quadratic equations
• Functions and curves
• Differentiation and integration
• Partial differentiation
• Matrix algebra
• Linear programming
• Time and money
• Payoff matrices and decision trees
• 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 module for BSc 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.
One successful completion students should be able to:
• Understand the mechanics of the tools covered, including their assumptions and limitations;
• Understand their place in accounting and finance;
• Apply them to small examples with the aid of a calculator;
• Apply them to larger data sets using Excel.
Teaching and learning methods
Lecture hours: 44
Seminar hours: 20
Total study hours: 200 hours split between lectures, classes, self study and preparation for classes, unassessed coursework, and examinations.
- 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 transferable skills that enhance future employability.
100% by exam:
2 x 1.5 hour closed-book exams with formula sheets: One in each exam period (January and May). In each exam you must answer 3 questions from 4.
Resit Exam: Anyone failing the course may have to retake a combined 1.5-hour exam in the August exam resit period.
Unassessed coursework: In each semester one or two sets of seminar question answers will be collected at the start of the relevant seminar, marked, and returned with formative feedback within a fortnight.
• Informal advice and discussion during lectures and seminars;
• Responses to student emails and questions from a member of staff;
• Generic feedback posted on Blackboard regarding overall examination performance;
• Formative feedback on unassessed coursework.
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.
|Scheduled activity hours|
|Assessment written exam||3|
|Independent study hours|
|Thomas Schleicher||Unit coordinator|
|Liang Xu||Unit coordinator|
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 2022/23
Updated: March 2022
Approved by: March UG Committee