Your qualification fit
Four-year Bachelor's degree with at least Lower Second Class Honours from a mainstream university; Upper Second Class is normally required for most courses.
Check my qualifications →Imperial College London · London
MSc Business Analytics and AI
Technical training in machine learning, deep learning, databases, optimisation and statistics applied to business decisions, with electives in areas such as finance, healthcare and marketing analytics. Ends with a capstone consulting project, work placement or research report; an extended 4–6 month placement is possible for an extra fee.
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IELTS or an alternative
7.0 overall, 6.5 in each element (Imperial 'higher' level)
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Scholarship or tuition-discount information is recorded for this university; eligibility may depend on course and intake.
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Scholarship information
Potential funding at Imperial College London
For 2027 entry Imperial is offering at least 300 Imperial Inspires scholarships worth £15,000 per year for international (Overseas-fee) students on undergraduate and selected postgraduate taught courses in Engineering, Natural Sciences, Medicine and the Business School.
Eligibility, value, availability and deadlines are decided by the university. Confirm the award for this exact course and intake before relying on it.Programme overview
A clearer look at MSc Business Analytics and AI
Technical training in machine learning, deep learning, databases, optimisation and statistics applied to business decisions, with electives in areas such as finance, healthcare and marketing analytics. Ends with a capstone consulting project, work placement or research report; an extended 4–6 month placement is possible for an extra fee.
This 12-month postgraduate route concentrates on consumer behaviour, segmentation and positioning, brand, communications and campaign planning, market research and evidence-led marketing decisions. A placement or professional-experience option is recorded, which can help connect academic learning with workplace practice when available.
Course focus
What you can expect to explore
- Consumer behaviour, segmentation and positioning
- Brand, communications and campaign planning
- Market research and evidence-led marketing decisions
- Corporate finance and investment decisions
Skills development
Capabilities you can build
- Customer research
- Campaign planning
- Brand communication
- Marketing performance evaluation
The balance of technical, academic and professional skills depends on the modules and assessments offered for your intake.
Learning experience
How you may learn
- Applied work such as case studies, workshops, projects or problem-based tasks.
- Independent postgraduate study, critical reading and a dissertation or major project where required.
- A placement or professional-experience route is recorded; its length, availability and eligibility should be confirmed for the selected intake.
Who is this course for?
A strong fit for students who enjoy understanding audiences and turning research into persuasive, measurable marketing activity. Entry requirements still determine eligibility, and students should compare the official module list with their own career goals before applying.
Career direction
Where it may lead
Relevant career directions may include:
- Marketing executive
- Brand coordinator
- Market research analyst
- Communications specialist
These are examples, not guaranteed outcomes. Employment depends on your experience, location, professional registration where applicable and the modules completed.
Course contents
Published course content for this programme.
35 curriculum items were captured from the university’s official course page. These may include modules, course units or published curriculum topics, and can change by intake, pathway and availability.
- 01Data Structures and AlgorithmsPublished course content
- 02Deep Learning and Generative AIPublished course content
- 03Data Wrangling and VisualisationPublished course content
- 04Fundamentals of Database TechnologiesPublished course content
- 05Machine LearningPublished course content
- 06Maths and Statistics Foundations for AnalyticsPublished course content
- 07Optimisation and Decision ModelsPublished course content
- 08Statistics and EconometricsPublished course content
- 09Business Analytics electivesPublished course content
- 10Advanced Machine LearningPublished course content
- 11Causal Modelling for Business AnalyticsPublished course content
- 12Data Management and EthicsPublished course content
- 13Energy AnalyticsPublished course content
- 14Financial AnalyticsPublished course content
- 15Generative AI and Large Language ModelsPublished course content
- 16Healthcare and Medical AnalyticsPublished course content
- 17Leadership in AnalyticsPublished course content
- 18Logistics and Supply-Chain AnalyticsPublished course content
- 19Networks: Science, Markets and OptimisationPublished course content
- 20Retail and Marketing AnalyticsPublished course content
- 21Text Analysis for BusinessPublished course content
- 22Adaptive AI: Learning-Powered Decision Making in PracticePublished course content
- 23Digital Marketing AnalyticsPublished course content
- 24Building AI Accelerated StartupsPublished course content
- 25Analytics & AI in Business CapstonePublished course content
- 26Consulting projectPublished course content
- 27Individual Research ReportPublished course content
- 28Extended work placementPublished course content
- 29Work placementPublished course content
- 30Global Business Challenge (Entrepreneurship)Published course content
- 31Global Business Challenge (Social Impact)Published course content
- 32Association of MBAs (AMBA)Published course content
- 33Association to Advance Collegiate Schools of Business (AACSB)Published course content
- 34European Quality Improvement System (EQUIS)Published course content
- 35Teaching and learning methodsPublished course content
Entry requirements
Can I apply?
- Academic
- 2:1 in a quantitative subject such as Mathematics, Statistics, Computer Science, Engineering, Physics or quantitative Economics
- Sri Lankan qualifications
- Four-year Bachelor's degree with at least Lower Second Class Honours from a mainstream university; Upper Second Class is normally required for most courses.
- English (IELTS)
- 7.0 overall, 6.5 in each element (Imperial 'higher' level)
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How we help
Support, clearly agreed.
- We check your eligibility and documents.
- We prepare and submit your application to Imperial College London.
- We help you meet any offer conditions and get your CAS.
- We guide your Student visa application.
Your initial consultation is free. Any paid professional support begins only after you receive and accept a written service summary explaining the work, fee and terms.
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Course information checked October 2026 from the official course page on imperial.ac.uk. The expanded description is original GEC guidance built from the recorded course summary, award level and subject; it does not reproduce a university or partner listing word for word. Exact modules, teaching, assessment, professional recognition, fees, entry requirements and intakes can change. We confirm the latest details with Imperial College London before you apply. Global Educational Consultants is an independent consultancy.