Mathematical Methods

The details
Colchester Campus
Postgraduate: Level 7
Thursday 03 October 2019
Saturday 14 December 2019
25 September 2019


Requisites for this module



Key module for

MSC LN1412 Financial Economics and Accounting,
MSC LN1424 Financial Economics and Accounting,
MSC L11012 Applied Economics and Data Analysis,
MSC L11024 Applied Economics and Data Analysis,
MSC L110UH Applied Economics and Data Analysis,
DIPLL10009 Economics,
MA L10012 Economics,
MA L10024 Economics,
MRESL10012 Economics,
MRESL100EK Economics,
MRESL100KE Economics,
MSC L10012 Economics,
MSC L10024 Economics,
MSC L100EK Economics,
MSC L100KE Economics,
MSC L100PP Economics with Professional Placement,
MSC L100UH Economics,
MSC L10312 Financial and Business Economics,
MSC L10324 Financial and Business Economics,
MSC L11112 Financial Economics,
MSC L16012 International Economics,
MSC L16024 International Economics,
MSC L10412 Management Economics,
MA L20612 Political Economy,
MA L20624 Political Economy,
MA L206EK Political Economy,
MRESL20624 Political Economy,
MSC L20612 Political Economy,
MSC L20624 Political Economy,
MSC L206EK Political Economy,
MSC L14212 Economics, Computation and Game Theory,
MSC L14224 Economics, Computation and Game Theory,
MPH L10024 Economics,
MPH L10048 Economics,
MPHDL10036 Economics,
MPHDL10048 Economics,
MPHDL10072 Economics,
MPHPL10036 Economics,
MPHPL10072 Economics,
MSD L10012 Economics,
MSD L10024 Economics,
PHD L10036 Economics,
PHD L10048 Economics,
PHD L10072 Economics,
PHP L10036 Economics,
PHP L10072 Economics

Module description

The module explains a number of mathematical concepts and techniques which are fundamental to an understanding of modern economic theory. The topics covered include differential calculus, optimisation theory, convexity, sufficiency Theorems for optimality, differential equations and phase diagrams, optimal control theory and an introduction to dynamic programming.

Module aims

This module aims to provide students with the essential mathematical skills appropriate for Masters level modules in Economics. The focus is mainly on improving a student's problem solving skills, many applied economic examples are considered, both within lectures and in problem sets.

Module learning outcomes

By the end of the course, students should not only have a good understanding of optimisation theory, but also understand formally how economic arguments work and the role of equilibrium. Students are encouraged to work with each other when attempting the problem sets. The test will allow students to demonstrate their problem solving skills to solve real economic problems. Key employability skills include improved numeracy and analytic talents.

Module information

Compulsory for:
MSc in Economics, MSc in Financial and Business Economics, MSc in International Economics, MSc in Accounting and Financial Economics, and MSc in Applied Economics and Data Analysis.

Learning and teaching methods

One 2 hour lecture and one 1 hour class per week. Feedback for this module will occur through class meetings where we will go over the answers to problem sets and where you will be able to ask questions about your own method of solution; answers that will be posted on the website for the module that will give you written guidance on the appropriate method to approach the problems, assignments, and tests; and office hours where any additional questions can be addressed. You should be sure that you use these methods to understand how to improve your own performance.


This module does not appear to have a published bibliography.

Assessment items, weightings and deadlines

Coursework / exam Description Deadline Weighting
Coursework Test
Exam 120 minutes during Summer (Main Period) (Main)

Overall assessment

Whichever is the Greater: EITHER 50 per cent Coursework Mark, 50 per cent Exam Mark OR 100 per cent Exam Mark IF Coursework Mark is a pass or better


Whichever is the Greater: EITHER 50 per cent Coursework Mark, 50 per cent Exam Mark OR 100 per cent Exam Mark IF Coursework Mark is a pass or better

Module supervisor and teaching staff
Lectures: Prof Melvyn Coles / Classes: various teachers
For further information, send a message to



External examiner

Dr Francis Kiraly
Newcastle University
Lecturer Economics
Available via Moodle
Of 67 hours, 63 (94%) hours available to students:
4 hours not recorded due to service coverage or fault;
0 hours not recorded due to opt-out by lecturer(s).


Further information

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