Module manager: Prof. Andrew Robinson
Email: amr@lubs.leeds.ac.uk
Taught: Semester 1 (Sep to Jan) View Timetable
Year running 2024/25
This module is not approved as an Elective
Quantitative Methods is a Masters level module intended to provide students with a thorough grounding in the effective use of mathematical and statistical techniques in business and finance. The module provides students with a thorough grounding in a wide range of numerical tools and techniques from basic descriptive statistics, through regression to time series methods. The module places a strong emphasis on the interpretation and communication of quantitative information and analysis as a basis for other applied and research based modules.
Upon completion of this module students will be able to critically assess:
- key statistical concepts, principals and methods
- mathematical techniques in business and finance
- the use of these statistical techniques in real world environments
Upon completion of this module students will be able to:
Transferable
- communicate in writing to advanced academic level
- demonstrate advance numerical and quantitative skills
Subject Specific
- synthesis and communicate statistical information and analysis
- apply a range of statistical tools to conduct empirical research into business and finance issues
- report on the meaning of statistical outputs and its relevance to business decisions
Indicative content:
The syllabus covers some of the core statistical techniques for business and finance. Indicative content includes: descriptive statistics, probability and probability distributions, sampling and inference, hypothesis testing and confidence intervals, simple and multivariate regression, basic time series analysis and limited dependent variable estimation.
| Delivery type | Number | Length hours | Student hours |
|---|---|---|---|
| Lecture | 11 | 2 | 22 |
| Seminar | 10 | 1 | 10 |
| Private study hours | 118 | ||
| Total Contact hours | 32 | ||
| Total hours (100hr per 10 credits) | 150 | ||
This could include a variety of activities, such as reading, watching videos, question practice and exam preparation.
Students will have the opportunity to take a practice exam and will receive a formative feedback on it. Formative feedback will be also provided on exercises covered in seminars.
| Exam type | Exam duration | % of formal assessment |
|---|---|---|
| Standard exam (closed essays, MCQs etc) (S1) | 2.0 Hrs 0 Mins | 100 |
| Total percentage (Assessment Exams) | 100 | |
The resit for this module will be 100% by examination
The reading list is available from the Library website
Last updated: 10/3/2024
Errors, omissions, failed links etc should be notified to the Catalogue Team