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2024/25 Taught Postgraduate Module Catalogue

LUBS5586M Quantitative Analysis

15 creditsClass Size: 200

Module manager: Peizhi Shi

Taught: Semester 1 (Sep to Jan) View Timetable

Year running 2024/25

This module is not approved as an Elective


This course aims to give students a sound grounding in quantitative analysis at the level necessary to: 1) facilitate their study of academic literature on their MSc programme, 2) facilitate their undertaking of a quantitative research project for their dissertation, and 3) allow them to use and interpret results from such methods in a business environment.

Learning outcomes
On completion of this module, students will be able to use descriptive statistics and various ways to present data, and be able to use quantitative methods for analysis, critically evaluating their potential and pitfalls, including the following methods and concepts:

- probability and probability distributions
- hypothesis testing and confidence intervals
- the multivariate analysis of linear relationships
- group comparisons (using ANOVA)
- exploratory factor analysis.

Skills outcomes:


- Analytical skills
- Critical thinking skills


Indicative content:

Descriptive Statistics
Levels of measurement, measures of location & dispersion, handling grouped data, data presentation

The nature of probability, probability laws, conditional probabilities, probability distributions: their properties & uses

Hypothesis Testing
Estimating from samples, hypothesis testing, confidence intervals

Multivariate Regression Analysis
Analysis of linear relationships, correlation, linear regression & forecasting

Group Comparisons
Analysis of differences between groups (on and two way ANOVA with covariates)

Factor Analysis
How exploratory factor analysis can be used in data analysis.

Teaching methods

Delivery typeNumberLength hoursStudent hours
Private study hours120.00
Total Contact hours30.00
Total hours (100hr per 10 credits)150.00

Private study

This could include a variety of activities, such as reading, watching videos, question practice and exam preparation.

Opportunities for Formative Feedback

Your teaching methods could include a variety of delivery models, such as face-to-face teaching, live webinars, discussion boards and other interactive activities. There will be opportunities for formative feedback throughout the module.

Methods of assessment

Exam typeExam duration% of formal assessment
Standard exam (closed essays, MCQs etc)2 hr 100.00
Total percentage (Assessment Exams)100.00

Resit is by 2 hour unseen examination.

Reading list

The reading list is available from the Library website

Last updated: 12/06/2024


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