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BSc Data Science

London School of Economics and Political Science

United Kingdom, London

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London School of Economics and Political Science

United Kingdom , London

Key Facts

Program Level

Bachelor

Study Type

Full Time

Delivery

On Campus

Course Code

N3UD

Campuses

Houghton Street

Program Language

English

Start & Deadlines

Next Intake Deadlines28-Sep-2026

Apply to this program

Go to the official application for the university

Duration 3 year(s)

Tuition Fee

GBP 32,100 / year

Next Intake 28-Sep-2026

BSc Data Science

About

Introduction

Our BSc Data Science brings together the study of data science, machine learning, statistics and mathematics – with an emphasis on their real-world applications and impact on economics and society.

The programme has a strong mathematical focus. You’ll learn about the properties of data, how to extract insights from data, and how to report the results. As you progress, you’ll build your understanding of classical and modern data analytics techniques, modelling, statistical machine learning, and AI. You’ll learn how to carry out typical workflows in data analytics, make inferences based on statistical data and become proficient in computer programming for data science.

Data scientists are in high demand in the private and public sectors. By the time you graduate, you’ll have all the practical skills and theoretical knowledge to progress to a career in areas such as banking, financial services and healthcare.

Preliminary readings

J.Zelle, Python Programming: An Introduction to Computer Science, 3rd Edition, Franklin, Beedle & Associates, 2016
M. Lutz, Learning Python, 5th Edition, O’Reilly Media, 2013
R. Ramakrishnan and J. Gerhke, Database Management Sytems, McGraw-Hill, 2002
J. Hellerstein and M.Stonebraker, readings in Database Systems, 4th Edition, 2005
W. Mckinney, Python for Data Analysis, 2nd Edition, O’Reilly 2017
H. Wickham, Ggplot2: Elegant Graphics for Data Analysis, Springer, 2009
Larsen R.J. and M.L. Marx (2013) Introduction to Mathematical Statistics and Its Applications (fifth edition), Pearson (earlier editions are also acceptable)
A. C. Muller and S. Guido, Introduction to Machine Learning with Python, O’Reilly, 2016
A. Geron, Hands-on Machine Learning with Scikit-Learn & TensorFlow, O’Reilly, 2017
M. Wooldridge, An Introduction to MultiAgent Systems, 2nd Edition, Wiley, 2009
L. Deng and D. Yu, Deep Learning: Methods and Applications, Now Publishers Inc, 2014
F. Chollet, Deep Learning with Python, Manning, 2018
A. Geron, Hands-on Machine Learning with Scikit-Learn and Tensorﬂow, O'Reilly, 2017

Disciplines

Department of Statistics

Requirements

Entry Requirements

Saudi Arabia school-leaving qualifications The school-leaving qualifications from Saudi Arabia are not acceptable as an entry qualification for LSE. Please view information on other accepted international qualifications for alternative options. In terms of academic achievement, our entry requirements vary by programme, and are listed on the individual undergraduate degree programme webpages .

Career

From CV workshops through to careers fairs, LSE offers lots of information and support to help you make that all-important step from education into work.

Many of the UK’s top employers give careers presentations at the School during the year and there are numerous workshops covering topics such as job hunting, managing interviews, writing a cover letter and using LinkedIn.

See LSE Careers for further details.

Fee Information

Your tuition fees, and eligibility for any financial support, depend on whether you’re classified as a home or an overseas student – known as your fee status. We assess your fee status based on guidelines from the UK Government’s Department for Education.

Learn more about fee status classification.

Tuition Fee

GBP 32,100

Application Fee

GBP