Admissions Deadlines
Early Priority Deadline
1 October 2021
Priority Deadline
29 October 2021
Final Application Deadline
26 November 2021
Programme Starts
7 February 2022
Online BSc Business and ManagementOnline BSc Business and ManagementOnline BSc Business and Management
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 Business and Management programme prepares you to navigate and analyse issues in international management. Your studies will equip you with an applied understanding of business and management, a strong foundation in the social sciences and an analytical approach to problem solving.
Analyse business and management challenges through the lens of related social science disciplines.
Apply international management concepts and theories to solve real-world business problems.
Understand the processes, procedures and practices needed to manage organisations effectively.
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.
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
MN1178 Business and Management in a Global Context
ST104A Statistics 1*
MT105A Mathematics 1*
AC1025 Principles of Accounting
EC1002 Introduction to Economics
YEAR TWO
MN2177 Core Management Concepts
MN2196 Data Analysis for Management Decision-Making
CHOOSE TWO:
MN3197 Operations Management
IS2184 Information Systems Management
FN2191 Principles of Corporate Finance
MN3075 Human Resource Management
MN3141 Marketing Management
YEAR THREE
MN3119 Strategy
Open Choice (any level)**
CHOOSE TWO:
MN3197 Operations Management
IS2184 Information Systems Management
FN2191 Principles of Corporate Finance
MN3075 Human Resource Management
MN3141 Marketing Management
* Half course
** Open choice courses: Choose a) one 100-, 200- or 300-level course (or two half courses) from the course selection list (PDF 1.3 MB) or b) two LSE summer school courses.
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?
State actors aren’t the only employers navigating their roles in a changing world. In PricewaterhouseCoopers’ 2020 global survey of more than 3,500 CEOs, more than a third of respondents identified geopolitical uncertainty, trade conflicts and policy uncertainty as major threats.2
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.
1Social Sciences and Management. (2021). QS World University Rankings. Retrieved August 19, 2021.arrow_upwardReturn to footnote reference
2Disconnected? Exploring the digital skills gap. (2021). Learning and Work Institute. Retrieved 16 July 2021.arrow_upwardReturn to footnote reference