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2018/19 Taught Postgraduate Module Catalogue

LUBS5000M Quantitative Methods

15 creditsClass Size: 150

Module manager: Prof. Andrew Robinson

Taught: Semester 1 View Timetable

Year running 2018/19

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.

Learning outcomes
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

Skills outcomes
Upon completion of this module students will be able to:
- 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.

Teaching methods

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

Private study

reading for lectures 50 hours
preparation for classes 40 hours
preparation for exam 30 hours

Opportunities for Formative Feedback

Tutors will provide feedback to students in classes as they work through the practical exercises.

In addition, each lecture will begin with a multiple choice test (non-assessed) which will enable students to identify areas where their understanding is not complete.

Methods of assessment

Exam typeExam duration% of formal assessment
Standard exam (closed essays, MCQs etc)2 hr 00 mins100.00
Total percentage (Assessment Exams)100.00

The resit for this module will be 100% by 2 hours examination

Reading list

The reading list is available from the Library website

Last updated: 12/12/2018 10:48:53


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