Imperial College London
Master of Science Business Analytics
The Master of Science Business Analytics in Business and Management is offered by Imperial College London.
Program Length: 1 YEAR.
MSc in Business Analytics enables recent graduates and early career professionals to understand the content, importance and relevance of big data problems facing businesses and will be familiar with a variety of statistical, operation research and machine learning techniques needed to solve them.
Combining academic rigour and practical relevance, you will learn from experts in our leading faculty how to apply the latest academic thinking and analytical and computing tools to help make business decisions.
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 is recognised as a world leader in the study and analysis of data, and the Business School is home to the KPMG Centre for Advanced Business Analytics.
Structure
Modules shown are for the current academic year and are subject to change depending on your year of entry.Please note that the curriculum of this course is currently being reviewed as part of a College-wide process to introduce a standardised modular structure. As a result, the content and assessment structures of this course may change for your year of entry. We therefore recommend that you check this course page before finalising your application and after submitting it as we will aim to update this page as soon as any changes are ratified by the College.Full-time on campus
Pre-study modules
You choose two modules from below.
- Accounting, Maths and Finance Primers for Business Analytics
- Pre-Programme Maths
Core modules
You study all of the core modules below.
- Analytics in Business
- Data Structures and Algorithms
- Fundamentals of Database Technologies
- Machine Learning
- Maths and Statistics Foundations for Analysis
- Network Analytics
- Optimisation and Decision Models
- Statistics and Econometrics
- Visualisation
Optional modules
You choose five modules from below.
- Advanced Machine Learning
- Big Data in Finance
- Data Management and Ethics
- Digital Marketing Analytics
- Healthcare and Medical Analytics
- Logistics and Supply-Chain Analytics
- Retail and Marketing Analytics
- Workforce Analytics
Optional modules from other Business School programmes
You can substitute one optional module choice for one module below.Modules marked with an asterisk (*) are short half-credit modules, and you will need to take two of these modules.Please note there are limited places available on modules from other programmes.
- Digital Economics and Digital Strategy*
- Energy Economics and Strategy*
- Management Challenges of Healthcare Organisations
- Managing Change and Innovation in Healthcare
- Strategy Implementation*
Report module
You choose one of the combinations below.
- Capstone Business Analytics Project and Business Analytics Report
- Individual Research Report
- Work Placement and Business Analytics Report
Part-time online
Core modules
You study all of the core modules below.
- Accounting and Finance Primers
- Analytics in Business
- Data Structures and Algorithms
- Fundamentals of Database Technologies
- Machine Learning
- Maths and Statistics Foundations for Analysis
- Maths Primer (not assessed)
- Network Analytics
- Optimisation and Decision Models
- Plagiarism Awareness (not assessed)
- Statistics and Econometrics
- Visualisation
Optional modules
You choose six modules from below.
- Advanced Machine Learning
- Big Data in Finance
- Career and Professional Development Workshops (not assessed)
- Digital Marketing Analytics
- Healthcare and Medical Analytics
- Logistics and Supply-Chain Analytics
- Retail and Marketing Analytics
- Workforce Analytics
Report module
You choose one of the modules below.
- Individual Research Report
- Work Based Project and Business Analytics Report
Entry requirements
We welcome students from all over the world and consider all applicants on an individual basis..