UNIVERSITY OF KENT
MODULE SPECIFICATION TEMPLATE
SECTION 1: MODULE SPECIFICATIONS
1.
Title of the module
Quantitative Methods (CB8022)
2.
School or partner institution which will be responsible for management of the module
Kent Business School
3.
Start date of the module
2010, updated for 2011
4.
The number of students expected to take the module
60
5.
Modules to be withdrawn on the introduction of this proposed module and consultation with
other relevant Schools and Faculties regarding the withdrawal
None
6.
The level of the module (e.g. Certificate [C], Intermediate [I], Honours [H] or Postgraduate [M])
Level M
7.
The number of credits and the ECTS value which the module represents
15 credits (7.5 ECTs)
8.
Which term(s) the module is to be taught in (or other teaching pattern)
Autumn
9.
Prerequisite and co-requisite modules
None
10. The programmes of study to which the module contributes
MSc Financial Markets, MSc International Accounting and Finance, MSc Financial
Services in Banking
11. The intended subject specific learning outcomes
11.1
Demonstrate knowledge and understanding of the use of quantitative techniques
for application to problems in a finance context.
11.2
Demonstrate an ability to undertake statistical investigation of financial data.
11.3
Identify and select appropriate statistical techniques to apply to issues within a
finance context.
11.4
Ability to apply quantitative techniques for solving problems within a finance
context.
11.5
Ability to analyse and interpret results derived from statistical models.
11.6
Demonstrate proficiency band competency in numeracy skills.
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UNIVERSITY OF KENT
12. The intended generic learning outcomes
12.1
Ability to analyse compare, discuss, critically evaluate various statistical
methods.
12.2
Ability to plan work, use relevant sources and study independently.
12.3
Ability to work in groups, listen, respond to different points of view and negotiate
outcomes. Ability to receive and use criticism and advice.
12.4
Appropriate formats are selected for presentation of work, which includes the
acknowledgement and reference of sources.
12.5
Ability to analyse structured and unstructured problems.
13. A synopsis of the curriculum
The module content may include:
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Statistical concepts
Probability distributions
Statistical inference, estimation and hypothesis testing
Correlation, spurious correlation and general dependence measures
Linear regression
Multiple linear regression
Logistic regression
Monte Carlo simulation
Modelling in Excel
14. Indicative Reading List
Gujarati, D.N. (2009) Basic Econometrics, 5th Edition, McGraw-Hill, New York and
London
Brooks, C. (2008) Introductory Econometrics for Finance, 2nd edition, Cambridge
University Press
Supplementary Reading:
D.R. Anderson, D.J. Sweeney, T.A. Williams, J. Freeman and E. Shoesmith, 2010,
Statistics for Business and Economics (2nd edition), Cengage
W.H. Green, Econometric Analysis (7th edition), Pearson
T. Watsham and K. Parramore, 2007, Quantitative Methods in Finance, Thomson
Learning
15. Learning and Teaching Methods, including the nature and number of contact hours and the
total study hours which will be expected of students, and how these relate to achievement of
the intended module learning outcomes:
Hours
Subject LOs
Generic LOs
Lectures
24
11.1 – 11.6
12.1 – 12.3, 12.5
Seminars
12
11.1 – 11.6
12.1 – 12.5
Independent study
114
11.1 – 11.6
12.1 – 12.5
Total hours
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UNIVERSITY OF KENT
16. Assessment methods and how these relate to testing achievement of the intended module
learning outcomes
Weighting
Subject LOs
Generic LOs
Examination – 2 hour
closed book
70%
11.1 – 11.6
12.1, 12.2, 12.4, 12.5
Empirical Report
30%
11.1 – 11.6
12.1 – 12.5
17. Implications for learning resources, including staff, library, IT and space
None
18. The School recognises and has embedded the expectations of current disability equality
legislation, and supports students with a declared disability or special educational need in its
teaching. Within this module we will make reasonable adjustments wherever necessary,
including additional or substitute materials, teaching modes or assessment methods for
students who have declared and discussed their learning support needs. Arrangements for
students with declared disabilities will be made on an individual basis, in consultation with
the University’s disability/dyslexia support service, and specialist support will be provided
where needed.
19. Campus(es) where module will be delivered:
Canterbury
SECTION 2: MODULE IS PART OF A PROGRAMME OF STUDY IN A UNIVERSITY SCHOOL
Statement by the School Director of Graduate Studies: "I confirm I have been consulted on the above
module proposal and have given advice on the correct procedures and required content of module
proposals"
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Director of Graduate Studies
Date
…………………………………………………
Print Name
Statement by the Head of School: "I confirm that the School has approved the introduction of the
module and, where the module is proposed by School staff, will be responsible for its resourcing"
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Head of School
Date
…………………………………………………….
Print Name
Module Specification Template
Last updated January 2013
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