About the programme
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Build a quantitative foundation:
Introductory courses in mathematics, statistics and economics teach the quantitative, methodological and theoretical foundations of data science.
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Cultivate applied skills:
Intermediate courses focus on practical competencies such as applied modelling and prediction, statistical inference and theory, abstract mathematics and programming.
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Explore high-level competencies:
Take courses in specialised topics like social science disciplines and statistical machine learning techniques.
About the University of London
Founded in 1836, the University of London is the UK’s leading provider of digital and blended distance education. It offers degrees with 17 federation members, including academic direction from the London School of Economics and Political Science.
About the London School of Economics and Political Science
The London School of Economics and Political Science (LSE) is a world-leading social science university that takes an interdisciplinary approach to learning. LSE students develop a holistic understanding of subjects, challenge conventional ways of thinking and tackling society’s most complex problems.
LSE alumni and academics are making transformative contributions in diverse fields and sectors, from academia to politics. Its community includes 37 past or present prime ministers, presidents and premiers; 18 Nobel Prize winners; and seven Pulitzer Prize winners.
Tuition and fees
This tuition and fee information is reflective of the 2025-2026 session and does not include local VAT, Goods and Service Tax (GST) or any other sales tax payable by the student in their country of residence.
Tuition and fees are subject to change and may increase each academic year. Tuition does not include student fees, technology platform licensing or support services. Learners are also responsible for travel and accommodation costs related to any in-person immersions or residentials, if applicable.
Curriculum
The University of London’s online BSc Data Science and Business Analytics programme prepares you to solve interdisciplinary problems and make strategic, clearly reasoned decisions using data. In addition to building core quantitative skills, you’ll examine the techniques, methodologies and principles that underpin modern data applications in management, economics and related disciplines.
The maximum registration period is six years, but you should aim to complete your programme within three to four years.
Course Features
- Lectures 3
- Quiz 1
- Duration 10 weeks
- Skill level Beginner
- Language English
- Students 3
- Assessments Self
- 1 Section
- 3 Lessons
- 10 Weeks
