Course summary
Our BSc Data Science aims to provide a programme of study that combines data science, machine learning, statistics and mathematics. The programme uses a rigorous approach, has a mathematical focus and involves applying data science to the social sciences. The BSc Data Science will prepare you for further study, or for professional and managerial careers, particularly in areas requiring the application of quantitative skills. The programme also allows you to choose to study a specialist area according to your developing interests and career plans. As a student on the BSc Data Science you’ll gain practical skills, theoretical knowledge and contextual information that will be excellent preparation quantitative careers in a range of industries. By the end of the programme BSc Data Science students will:
- Gain extensive first-hand experience of carrying out typical workflows of data analytics.
- Learn about acquiring, querying and understanding the basic properties of data, analysis, how to extract insights from data and how to report the results.
- Be able to use and understand classical and modern data-analytics techniques, statistical machine learning and artificial intelligence techniques.
- Be competent in computer programming in data-analytic contexts.
- Have a broad range of knowledge useful in data-analytic contexts, including topics at an intermediate or advanced level in economics and finance. Depending on your - course choices you could also acquire knowledge of advanced topics in mathematics and statistics.
- Be able to think in a critical manner.
- Be skilled in making formal and informal inferences on the basis of statistical data.
- Be able to formulate and develop mathematical arguments in a logical manner.
- Be able to understand, formulate and use quantitative models arising in the social sciences.
- Be skilled in acquiring new understanding and expertise.
- Acquire transferable skills in some or all of: presentations, library and internet research, report writing, information technology (IT) expertise and the use of statistical software.
How to apply
This is the deadline for applications to be completed and sent for this course. If the university or college still has places available you can apply after this date, but your application is not guaranteed to be considered.
Application codes
- Course code:
- N3UD
- Institution code:
- L72
- Campus name:
- London School of Economics and Political Science
- Campus code:
- -
Points of entry
The following entry points are available for this course:
- Year 1
- Year 2
Entry requirements
Qualification requirements
A level - A*AA
International Baccalaureate Diploma Programme - 38 points
Student Outcomes
The number of student respondents and response rates can be important in interpreting the data – it is important to note your experience may be different from theirs. This data will be based on the subject area rather than the specific course. Read more about this data on the Discover Uni website.
Fees and funding
Tuition fees
England | £9250* | Year 1 |
Northern Ireland | £9250* | Year 1 |
Scotland | £9250* | Year 1 |
Wales | £9250* | Year 1 |
Channel Islands | £9250* | Year 1 |
Republic of Ireland | £9250* | Year 1 |
EU | £27192* | Year 1 |
International | £27192* | Year 1 |
*This is a provisional fee and subject to change.
Tuition fee status depends on a number of criteria and varies according to where in the UK you will study. For further guidance on the criteria for home or overseas tuition fees, please refer to the UKCISA website .
Additional fee information
Provider information
London School of Economics and Political Science, University of London
Houghton Street
Westminster
WC2A 2AE