Online BSc Data Science and
Business AnalyticsOnline BSc Data Science and
Business AnalyticsOnline BSc Data Science and
Business Analytics

Awarded by the University of London
Academic Direction From the London School of Economics and Political ScienceAwarded by the University of London
Academic Direction From the London School of Economics and Political ScienceAwarded by the University of London
Academic Direction From the London School of Economics and Political Science

The 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.

Analyse data and draw actionable insights for informed decision-making.

Leverage mathematical and statistical models to tackle real-world problems.

Navigate the intersection of business, management and data.

Programme Structure

The BSc Data Science and Business Analytics programme – with academic direction from faculty at the globally ranked1 London School of Economics and Political Science (LSE) – is a rigorous and rewarding programme suited to those with strong mathematical ability and an interest in quantitative analysis. As you develop your quantitative skills, you will also learn how to take an analytical, interdisciplinary approach to problem solving in a variety of contexts.

Build a quantitative foundation.
Your introductory courses in subjects like mathematics, statistics and economics will familiarise you with the quantitative, methodological and theoretical foundations of data science.

Cultivate applied skills.
Your intermediate courses will focus on practical competencies such as abstract mathematics, applied modelling and prediction, statistical inference and theory, and programming.

Explore high-level competencies.
Your advanced courses will give you the opportunity to explore specialised interests, topics in management and other intersecting social science disciplines, and statistical machine learning techniques.

View this programme on the University of London website.
View the Programme Specification.

Admissions Deadlines

The final application deadline for the February 2025 cohort is 9 December 2024.

Learn about admissions.

Sample Course Sequence

The maximum period of registration is six years, but we suggest you aim to complete your programme within three to four years. To complete the programme in as few as three years, students must take four full courses (or equivalent) each year.

The table below shows the suggested course sequence when taking this programme through Standard Entry Route (equivalent of 12 full courses) over three years. All full courses are 30 credits and take 20 weeks of learning. Half courses are 15 credits and include 10 weeks of learning.

Year One

MT1186 Mathematical Methods

ST104A Statistics 1*

ST104B Statistics 2*

EC1002 Introduction to Economics

MN1178 Business and Management in a
Global Context

Year Two

ST2195 Programming for Data Science

ST2133 Advanced Statistics: Distribution Theory*

ST2134 Advanced Statistics: Statistical Inference*

MT2116 Abstract Mathematics

OR

EC2020 Elements of Econometrics

ST2187 Business Analytics, Applied
Modelling and Prediction

Year Three

MN3141 Marketing Management

ST3189 Machine Learning

ST3188 Statistical Methods for Market
Research

Open Choice**

* Half Course

** Open choice courses: Choose a) one 100-, 200- or 300-level course (or two half courses) from the Programme Specification or b) two LSE summer school courses.

View the Programme Regulations.

Course Spotlight: Machine LearningCourse Spotlight: Machine LearningCourse Spotlight: Machine Learning

In the last decade there has been a remarkable growth in machine learning. Following recent advances in gathering, storing and managing vast amounts of observations, the ability to process high-dimensional data and deal with uncertainty becomes increasingly important. This course covers a range of model-based and algorithmic machine learning methods, illustrated in various real-world applications and datasets.
In the last decade there has been a remarkable growth in machine learning. Following recent advances in gathering, storing and managing vast amounts of observations, the ability to process high-dimensional data and deal with uncertainty becomes increasingly important. This course covers a range of model-based and algorithmic machine learning methods, illustrated in various real-world applications and datasets.
In the last decade there has been a remarkable growth in machine learning. Following recent advances in gathering, storing and managing vast amounts of observations, the ability to process high-dimensional data and deal with uncertainty becomes increasingly important. This course covers a range of model-based and algorithmic machine learning methods, illustrated in various real-world applications and datasets.

Why Earn a BSc Data Science and Business Analytics?

Whether you’re entering the workforce, changing professions or building on an existing career, the ability to derive insights from data and translate complex analytics is incredibly valuable to employers and society. According to the Learning and Work Institute, 92 per cent of businesses say that having a basic level of digital skills is important for employees and 60 per cent of employers expect their reliance on advanced digital skills to increase in the next five years.2

With a strong background in data science and business analytics, you can consider careers or further study in fields like:

  • accounting
  • banking and finance
  • consulting
  • data science, information and technology
  • management
  • marketing

With a highly transferable set of technical and analytical skills, you’ll be able to consider postgraduate study or careers in a range of fields. Here are just a few roles you could pursue:

Data Scientist
Use algorithms, machine learning, modelling and related methods to help organisations make more strategic commercial and policy decisions.

Systems Analyst
Analyse, test and adapt organisations’ IT systems, and help clients improve current systems, integrate new features and improve productivity.

IT Consultant
Help clients identify, implement and optimise IT solutions to support their business objectives, promote security and overcome challenges.

Operational Researcher
Use statistics, data science and mathematics to analyse organisations, and help leaders identify ways to increase productivity and mitigate operational hurdles.

Start Your Future in Data Science

Complete our brief form to learn more about the online BSc Data Science and Business Analytics programme.

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1Social Sciences and Management. QS World University Rankings. Retrieved August 2024.arrow_upward

2Disconnected? Exploring the digital skills gap. (2021). Learning and Work Institute. Retrieved 16 July 2021.Return to footnote referencearrow_upwardReturn to footnote reference