Postgraduate Mathematics Preparation

The details
Essex Business School
Colchester Campus
Postgraduate: Level 7
Thursday 08 October 2020
Friday 18 December 2020
25 June 2020


Requisites for this module


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,
MPHDN30048 Finance,
PHD N30048 Finance,
MACCN440 Accounting and Finance,
MACCN441 Accounting and Finance (Including Placement Year),
MACCN442 Accounting and Finance (Including Year Abroad)

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

This Module is normally delivered through: 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. In academic year 2020-2021 the delivery is likely to be different and involve online learning.


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%


Coursework Exam
0% 100%
Module supervisor and teaching staff
Dr Norvald Instefjord, email:
Norvald Instefjord



External examiner

Dr Nikolaos Papanikolaou
Bournemouth University
Senior Lecturer in Accounting & Finance
Available via Moodle
Of 30 hours, 23 (76.7%) hours available to students:
7 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

* Please note: due to differing publication schedules, items marked with an asterisk (*) base their information upon the previous academic year.

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