This programme is a major/minor degree in favour of mathematics and involves studying courses to the value of 12 units over three years, plus LSE100
First year
In your first year, you take four compulsory foundation courses. You will take Microeconomics and Macroeconomics, Elementary Statistical Theory, Mathematical Methods and an Introduction to Abstract Mathematics. In addition, you will also take LSE100.
(* denotes a half unit course)
Microeconomics I*
This course provides a foundation to help students understand key microeconomic questions using a variety of approaches including quantitative methods.
Macroeonomics I*
This course provides a foundation to help students understand key macroeconomic questions using a variety of approaches including quantitative methods.
Elementary Statistical Theory
Provides a precise treatment of introductory probability theory, statistical ideas, methods and techniques.
Mathematical Methods
An introductory-level course for those who wish to use mathematics extensively in social science.
Introduction to Abstract Mathematics
Gives an introduction to abstract mathematics with emphasis on careful formulation and reasoning.
LSE100*
LSE100 is a half unit, running across Michaelmas and Lent Term in the first year, LSE100 is compulsory for all LSE undergraduate students, and is designed to build your capacity to tackle multidimensional problems through research-rich education.
Second year
In the second year, you take five courses (two of which are ‘half-unit’ courses, each taught over one term rather than two). All your second year courses are compulsory, one in Principles of Finance, one in Further Mathematical Methods, one in Probability, Distribution Theory and Inference and the two half unit course in Real Analysis and Introduction to Pricing, Hedging and Optimisation.
Principles of Finance
Examines companies' longer term investment decisions, and the ways in which these may be financed in the financial markets.
Further Mathematical Methods
Covers calculus and linear algebra
Probability, Distribution Theory and Inference
Continues the study of statistics and provided further statistical foundations for more advanced courses
Real Analysis*
A course in real analysis for those who have already met the basic concepts of sequences and continuity.
Introduction to Pricing, Hedging and Optimisation*
Introduces the concepts of valuation, hedging and portfolio selection.
Third year
In the third year you take three compulsory courses. You will choose from a selection from specified mathematics and statistics courses, and a further approved course (or two half-unit courses), and one course in advanced mathematical economics. Your additional options total three course units. You can choose from mathematics, economics or statistics options, but your choice must include at least one unit in mathematics and no more than one unit of statistics. You can also take one outside option of any suitable course taught at LSE, subject to the approval of the course tutor.
Quantitative Finance
- Covers financial risk analysis, financial risk management and derivatives pricing.
- Computational Methods in Financial Mathematics*
- Introduces you to a range of computational approaches to solve mathematical problems in finance
Financial Statistics*
Covers the key statistical methods and data-analytic techniques most relevant to finance.
One outside option
Two from:
Measure Theoretic Probability*
Studies the fundamentals of modern probability theory
Mathematics of Finance and Valuation*
Studies the mathematical tools of stochastic calculus and develops the Black Scholes theory of financial markets.
Regression and Generalised Linear Models*
Provides a solid coverage of the most important parts of the theory and application of regression models, generalised linear models and the analysis of variance.
Stochastic Processes*
A course in stochastic processes, with applications to insurance.
