BE399-7-AU-CO:
Postgraduate Mathematics Preparation

The details
2019/20
Essex Business School
Colchester Campus
Autumn
Postgraduate: Level 7
Current
Thursday 03 October 2019
Saturday 14 December 2019
0
24 September 2019

 

Requisites for this module
(none)
(none)
(none)
(none)

 

BE362, BE953

Key module for

MSC N42012 Accounting and Finance,
MSC N42024 Accounting and Finance,
MSC N31012 Banking and Finance,
MSC N31024 Banking and Finance,
MRESN30012 Finance,
MSC N30012 Finance,
MSC N30024 Finance,
MSC N39012 Finance and Investment,
MSC N39024 Finance and Investment,
MSC N30212 Finance and Management,
MSC N30224 Finance and Management,
MSC N34212 Financial Engineering and Risk Management,
MSC N34224 Financial Engineering and Risk Management,
MSC N30112 International Finance,
MSC N30124 International Finance,
MPH N30024 Finance,
MPH N30048 Finance,
MPHDN30036 Finance,
MPHDN30048 Finance,
MPHDN30072 Finance,
MPHDN300FA Finance,
MPHDN300FJ Finance,
MPHDN300PA Finance,
MPHDN300PJ Finance,
MSD N30012 Finance,
MSD N30024 Finance,
PHD N30036 Finance,
PHD N30048 Finance,
PHD N30072 Finance,
PHD N300FA Finance,
PHD N300FJ Finance,
PHD N300PA Finance,
PHD N300PJ Finance

Module description

There are two key aims of this module. The first is to cover topics in mathematics that are likely to be required in finance modules at Master's level at Essex Business School. It focuses on basic algebra, compounding and discounting, calculus, and some optimization. Little or no previous knowledge will be assumed for this part.

The second is to give an overview of the mathematical tools that are used in financial journal articles. This involves linear algebra, optimisation and optimal control theory, and integration and differential equations. Previous knowledge is useful, but it is not expected that the students should master the techniques covered in this module. It is nonetheless useful that the students gain a basic understanding of the tools used in the finance literature.

This module is compulsory for finance degree students on the MSc Banking, MSc Banking and Finance, MSc Finance, MSc Finance and Investment, MSc Financial Engineering and Risk Management, MSc International Finance programmes and MSc Finance and Data Analytics; and and for the MSc Accounting and Finance and MSc Finance and Management programmes.

Module aims

• To revise or teach basic mathematical skills required in finance modules at Master's level at EBS • To introduce mathematical tools commonly used in finance journal articles

Module learning outcomes

By the end of the module, students should be able to: * Solve basic algebraic problems * Calculate present and future values * Handle nonlinear functions * Differentiate functions to find marginal values * Identify the minimum and maximum points of functions * Understand the basics of optimisation under uncertainty * Understand differentiation and integration Skills for Your Professional Life (Transferable Skills) The mathematical techniques taught during the module will be useful not only during your Master's programme and future academic activities, but also in your professional life. * Some of the methods taught will be directly applicable in professional financial roles * More generally the mathematical skills you obtain in the course will help with problem solving tasks in professional life

Module information

No additional information available.

Learning and teaching methods

The course will be delivered via a 2-hour lecture and a 1-hour class each week. Students will be allocated to a specific class and attendance at classes is compulsory and will be monitored.

Bibliography

This module does not appear to have a published bibliography.

Assessment items, weightings and deadlines

Coursework / exam Description Deadline Weighting
Coursework In-class test

Overall assessment

Coursework Exam
100% 0%

Reassessment

Coursework Exam
0% 100%
Module supervisor and teaching staff
Dr Norvald Instefjord
Email: ebspgtad@essex.ac.uk

 

Availability
No
No
Yes

External examiner

Dr Nikolaos Papanikolaou
Bournemouth University
Senior Lecturer in Accounting & Finance
Resources
Available via Moodle
Of 30 hours, 24 (80%) hours available to students:
6 hours not recorded due to service coverage or fault;
0 hours not recorded due to opt-out by lecturer(s).

 

Further information
Essex Business School

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