Business Analytics
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
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Qualification
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MSc
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Duration
1 year
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Start date
August 2025
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Study mode
Full-time
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Fees
£25,500
Extended placement: £27,000 Home£42,500
Extended placement: £44,000 Overseas
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Delivered by
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Location
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South Kensington
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Minimum entry standard
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First or 2:1 in a quantitative subject such as Mathematics, Statistics, Computer science, Engineering, Physics or a quantitative economics degree
Course overview
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.
You also have the option to complete a four-six month work placement (internship) as part of your programme, extending the programme to 16 months and graduating with 120 ECTS. Please note that additional tuition fees apply.
Structure
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.
Pre-study modules
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.
Induction week
You will be invited to a welcome event our vibrant South Kensington campus where you can meet and network with your fellow students, distinguished faculty and dedicated programme staff, forging new connections and getting a taste of life at Imperial.
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
- Data Wrangling and Visualisation
- 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 Learning
- AI Ventures
- Causal Modelling for Business Analytics
- Data Management and Ethics
- Digital Marketing Analytics
- Energy Analytics
- Financial Analytics
- Generative AI and Large Language Models
- 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
- Consulting project
- Individual Research Report
- Extended work placement
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Work placement
If you wish to take a longer (four-six month) internship as part of your programme, you can take an extended work placement with the approval of the Academic Director. This is particularly relevant for (but not exclusive to) internships in France, Germany, and other European countries that require students to have student status for the duration of their internships. Please note that additional tuition fees apply.
Professional accreditation
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
- Case studies
- Projects
- Presentations and seminars
- Group work
- Virtual learning environment
- Lectures
- Practical classes and fieldwork
- Work placement opportunity
- Workshops
Assessment methods
- Case studies
- Continuous assessments
- Essays
- Formal presentations
- Multiple choice tests
- Reports
- Participation
- Written exams
Entry requirements
We consider all applicants on an individual basis, welcoming students from all over the world.
How to apply
Apply online
If you are applying to the Business School, you may be considered for one course per admissions cycle.
Application deadlines – Round 2 closes on Thursday 9 January 2025
We operate a staged admissions process with several deadlines throughout the year. This programme is highly competitive, so early application is advised.
Apply by 23.59 (UK time) on the closing date of an application round, to ensure you receive a response on your application by the relevant decision date.
Round 1
- Closing date: 26 September 2024
- Decision by: 28 November 2024
Round 2
- Closing date: 9 January 2025
- Decision by: 6 March 2025
Round 3
- Closing date: 13 March 2025
- Decision by: 8 May 2025
Round 4
- Closing date: 1 May 2025
- Decision by: 19 June 2025
Scholarship deadlines
- Round 1: 26 September 2024
- Round 2: 9 January 2025
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.
We recognise that circumstances may change for part-time students and exit points are offered upon completion of 30 ECTS (PG Certificate) or 60 ECTS (PGDiploma).
You must successfully complete all 6 compulsory modules to be eligible for the PG Certificate exit award, and an additional 6 elective modules for the PG Diploma award. The maximum period of registration for either exit award is 36 months.
Tuition fees
Tuition fee
2025 entry
£25,500 12 months
Extended work placement option
2025 entry
£27,000 16 months
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.
For courses starting on or after 1 August 2024, the maximum amount is £12,471. The loan is not means-tested and you can choose whether to put it towards your tuition fees or living costs.
The loan is not means-tested and you can choose whether to put it towards your tuition fees or living costs.
Students taking the optional extended work placement must pay a fee of £1500, in addition to the standard course fees.
Tuition fee
2025 entry
£42,500 12 months
Extended work placement option
2025 entry
£44,000 16 months
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.
For courses starting on or after 1 August 2024, the maximum amount is £12,471. The loan is not means-tested and you can choose whether to put it towards your tuition fees or living costs.
The loan is not means-tested and you can choose whether to put it towards your tuition fees or living costs.
Students taking the optional extended work placement must pay a fee of £1500, in addition to the standard course fees.
How will studying at Imperial help my 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.
Further links
Contact the department
- Telephone: +44 (0)20 7589 5111
- Email: business.school@imperial.ac.uk
Visit the Imperial College Business School website
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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