Learn how to apply the latest academic thinking and analytical and computing tools to help make business decisions.
Drive business transformation through data-driven decision making
A practically focused degree, designed to create data analysts of the future
Learn how to apply the latest academic thinking and analytical and computing tools to help make business decisions
Course key facts
Minimum entry standard
First or 2:1 in a quantitative subject such as Mathematics, Statistics, Computer science, Engineering, Physics or a quantitative economics degree
MSc Business Analytics equips you to make data-driven and evidence-based decisions and drive transformation within businesses.
Guided by world-class faculty and leading practitioners in this in-demand field, you'll receive rigorous technical and quantitative training, as well as opportunities to apply your learning in a practical setting. There is a careful balance of teaching, hands-on coursework and training in data analysis and business intelligence tools, plus regular seminars by expert external speakers.
Imperial College London is consistently ranked in the top 10 universities globally, recognised as a world leader in the study and analysis of data.
Prepare for your future driving business transformation through data.
This page is updated regularly to reflect the latest version of the curriculum. However, this information is subject to change.
Find out more about potential course changes.
Please note: it may not always be possible to take specific combinations of modules due to timetabling conflicts. For confirmation, please check with the relevant department.
Before the programme begins you will be expected to complete some pre-study modules which are delivered through The Hub, Imperial College Business School’s online learning environment.
These modules will be available to students who have accepted an offer of admission from July onwards, and are designed to give you a basic knowledge of areas which will be covered by the programme throughout the academic year.
Core modules rapidly build the theoretical and programming foundations you need for analytics. They are the backbone of the programme and will provide you with a solid combination of tools and knowledge.
- Data Structures and Algorithms
- Fundamentals of Database Technologies
- Machine Learning
- Maths and Statistics Foundations for Analytics
- Network Analytics
- Optimisation and Decision Models
- Statistics and Econometrics
Each elective will introduce the main analytical models and questions in the area and you will gain expertise in both the language and tools specific to that business area. Real-world data sets and cutting edge tools and models will allow you to apply your knowledge directly within your chosen industry. You will take six electives from the Business Analytics electives.
You will also have the choice to take one additional elective from a suite of elective modules made available from other Business School MSc programmes.
- Advanced Machine Learning2
- Causal Modelling for Business Analytics
- Data Management and Ethics
- Digital Marketing Analytics
- Energy Analytics
- Financial Analytics
- Healthcare and Medical Analytics
- Logistics and Supply-Chain Analytics
- Retail and Marketing Analytics
- Text Analysis for Business
Over the summer term you will choose to undertake either the Analytics in Business Capstone Project (students take either a Work Placement or Consulting Project) or the Individual Research Report.
- Analytics in Business Capstone Project
- Individual Research Report
We are among a handful of business schools worldwide to achieve triple accreditation:
- Association of MBAs (AMBA)
- Association to Advance Collegiate Schools of Business (AACSB)
- European Quality Improvement System (EQUIS)
We have also been recognised for our work in tackling gender inequality in higher education with a Bronze Athena SWAN award.
Teaching and assessment
Teaching and learning methods
Presentations and seminars
Virtual learning environment
Practical classes and fieldwork
Work placement opportunity
Multiple choice tests
We consider all applicants on an individual basis, welcoming students from all over the world.
How to apply
If you are applying to the Business School, you may be considered for one course per admissions cycle.
Visit our Admissions website for details on the application process.
If you are applying for a taught Master’s course, you will need to pay an application fee before submitting your application.
The fee applies per application and not per course:
- £100 for all MSc applications to Imperial College Business School
- £150 for MBA applications to Imperial College Business School
There is no application fee for MRes courses, Postgraduate Certificates, Postgraduate Diplomas or research courses, such as PhDs and EngDs.
If you are facing financial hardship and are unable to pay the application fee, we encourage you to apply for our application fee waiver.
An ATAS certificate is not required for students applying for this course.
If you're a UK national, or EU national with settled or pre-settled status under the EU Settlement Scheme, you may be able to apply for a Postgraduate Master’s Loan from the UK government, if you meet certain criteria.
The government has not yet published the loan amount for students starting courses in Autumn 2024. As a guide, the maximum value of the loan was £12,167 for courses starting on or after 1 August 2023.
The loan is not means-tested and you can choose whether to put it towards your tuition fees or living costs.
Your future career
Develop the essential core knowledge and skills for a business analytics career.
Become capable of making data-driven, evidence-based decisions and driving business transformation.
As you learn from world-class faculty and leading practitioners in this in-demand field, you'll apply your knowledge in a practical setting.
Data-driven business transformation prepares you for the future.
Terms and conditions
There are some important pieces of information you should be aware of when applying to Imperial. These include key information about your tuition fees, funding, visas, accommodation and more.
You can find further information about your course, including degree classifications, regulations, progression and awards in the programme specification for your course.Programme specifications