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.
(* denotes a half unit course)
In your first year, you take five compulsory foundation courses. In addition, you will also take LSE100.
This course provides a foundation to help students understand key microeconomic questions using a variety of approaches including quantitative methods.
This course provides a foundation to help students understand key macroeconomic questions using a variety of approaches including quantitative methods.
An introductory-level course for those who wish to use mathematics extensively in social science.
Elementary Statistical Theory
Provides a precise treatment of introductory probability theory, statistical ideas, methods and techniques.
Introduction to Abstract Mathematics
Gives an introduction to abstract mathematics with emphasis on careful formulation and reasoning.
A half unit, running across Autumn and Winter Term in the first year, LSE100 is compulsory for all LSE undergraduate students. This innovative and interactive course is designed to build your capacity to tackle multidimensional problems as a social scientist through interdisciplinary, research-rich education.
In the second year, you take five compulsory courses. You will also choose either the full unit course, Probability, Distribution Theory and Inference or the half unit course, Probability and Distribution Theory, and select a half unit course from a range of options.
Further Mathematical Methods
Covers calculus and linear algebra.
Programming for Data Science*
Cover principles of computer programming with a focus on data science applications.
Algorithms and Data Structures*
Provides an introduction to the fundamental principles of data structures and algorithms and their efficient implementation.
A course in real analysis for those who have already met the basic concepts of sequences and continuity.
Describes various techniques of optimisation, gives a mathematical presentation of the relevant theory, and shows how they can be applied.
Probability, Distribution Theory and Inference
Covers the probability, distribution theory and statistical inference needed for third year courses in statistics and econometrics.
Probability and Distribution Theory*
Covers the probability and distribution theory needed for third year courses in statistics and econometrics.
And one from:
Concentrates on the theory and qualitative analysis of (ordinary) differential equations, although some solution techniques are also considered.
Covers some of the main concepts and techniques of discrete mathematics together with its applications.
Algebra and Number Theory*
Develops the study of abstract algebraic structures.
In the third year you take four half unit courses from a range of mathematics and statistics options and courses to the value of two units from a range of options.
Examines the basic concepts and techniques of graph theory.
Mathematics of Networks*
Gives an introduction to the study of networks.
Optimisation for Machine Learning*
Introduces a range of optimisation methods that play fundamental roles in machine learning.
Mathematical Modelling and Simulation*
Covers some of the most prominent tools in modelling and simulation.
Examines the core machine learning techniques in the context of high-dimensional or large datasets (i.e. big data).
Introduces basic principles of artificial intelligence (AI) systems.
Ethics for Data Science*
Options to the value of two units from a range of options
The regulations for this programme will be published shortly.
Where regulations permit, you may also be able to take a language, literature or linguistics option as part of your degree. Information can be found on the Language Centre webpages.
You must note, however, that while care has been taken to ensure that this information is up-to-date and correct, a change of circumstances since publication may cause the School to change, suspend or withdraw a course or programme of study, or change the fees that apply to it. The School will always notify the affected parties as early as practicably possible and propose any viable and relevant alternative options. Note that the School will neither be liable for information that after publication becomes inaccurate or irrelevant, nor for changing, suspending or withdrawing a course or programme of study due to events outside of its control, which includes but is not limited to a lack of demand for a course or programme of study, industrial action, fire, flood or other environmental or physical damage to premises.
You must also note that places are limited on some courses and/or subject to specific entry requirements. The School cannot therefore guarantee you a place. Please note that changes to programmes and courses can sometimes occur after you have accepted your offer of a place. These changes are normally made in light of developments in the discipline or path-breaking research, or on the basis of student feedback. Changes can take the form of altered course content, teaching formats or assessment modes. Any such changes are intended to enhance the student learning experience. You should visit the School’s Calendar, or contact the relevant academic department, for information on the availability and/or content of courses and programmes of study. Certain substantive changes will be listed on the updated undergraduate course and programme information page.