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
DurationOur 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, for example, 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.
Entry Requirements
Below we list our entry requirements in terms of GCSEs, A-Levels (the entry requirements should be read alongside our A-level subject combinations information) and the International Baccalaureate (IB) Diploma. We accept a wide range of other qualifications from the UK and from overseas.
GCSEs
A strong set of GCSE grades including several at A (or 7) and A* (or 8-9)
GCSE English and Mathematics grades should also be no lower than B (or 6)
We also consider your overall GCSE subject profile
A-levels*
AAA, with an A in Mathematics
We also consider your AS grades, if available.
Contextual admissions A-level grades**
AAB with an A in Mathematics
IB Diploma
38 points overall, with 766 in higher level subjects, including higher level Mathematics.
Contextual admissions IB grades**
37 points overall, with 666 in higher level subjects, including higher level Mathematics.
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Education And Student Experience
LSE is one of the world’s leading universities providing a social science-focused education. Our students come together with academics and experts to immerse themselves in a research-rich education and to develop the skills, experience and connections to make their own impact in the world. Browse education news, hear from our students and explore all that LSE offers.
On this degree you will learn the skills you need have a career in this exciting field, from the basics of Computing, Programming and Coding for Web and Mobile, along with Data Mining, Information Systems, Mathematical and Statistical methods and other techniques that are needed in a data driven
Develop the versatility and personal qualities to select, use and combine a variety of machine learning tools, technologies and methods to meet the dynamic data analytical demands in a global context
With a course developed by experienced data scientists with a wealth of experience across industry, consulting, and private equity. Our Level 6 Data Science apprenticeship focuses on training people to have practical skills, able to solve business problems.
Data plays a vital role in every private and public sector enterprise: understanding how to use data to inform decision-making has never been more critical. This degree equips you with the skills to explore and analyse complex data sets.
Data Science is a new and rapidly expanding discipline that uses scientific approaches, business understanding, data and artificial intelligence to extract knowledge and understanding from the vast quantities of data sources that exist.
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