Companies need people who can take data and transform it into a powerful strategic asset. This specialisation provides a rigorous, practical foundation in the key skills needed to unlock the value of data, and an in-depth understanding of how companies can use data to make decisions and improve business performance.
Modes and duration
Tuition fees (2021/22)
Note on fees: The tuition fees shown are for the year indicated above. Fees for subsequent years may increase or otherwise vary. Further information on fee status, fee increases and the fee schedule can be viewed on the UCL Students website: ucl.ac.uk/students/fees.
Fee deposit: All full time students are required to pay a fee deposit of £2,000 for this programme. All part-time students are required to pay a fee deposit of £1,000.
A minimum of an upper second-class UK Bachelor’s degree or an overseas qualification of an equivalent standard. Applicants must have a strong aptitude for quantitative analysis and are likely to have studied a range of degrees including: management, mathematics, engineering, computer science, economics, and psychology.
English language requirements
If your education has not been conducted in the English language, you will be expected to demonstrate evidence of an adequate level of English proficiency.
The English language level for this programme is: Good
UCL Pre-Master's and Pre-sessional English courses are for international students who are aiming to study for a postgraduate degree at UCL. The courses will develop your academic English and academic skills required to succeed at postgraduate level. International Preparation Courses
Further information can be found on our English language requirements page.
Country-specific information, including details of when UCL representatives are visiting your part of the world, can be obtained from the International Students website.
International applicants can find out the equivalent qualification for their country by selecting from the list below.
Select your country:
About this degree
Business Analytics is taught by UCL School of Management. It combines modules that explore how data and analytics are transforming key areas of business (strategy, marketing, operations) with modules that provide the mathematical and computational skills needed to make effective use of the latest business analytics tools.
Students undertake modules to the value of 180 credits.
The programme consists of six core modules (90 credits), two optional modules (30 credits) and a dissertation/report (60 credits).
Upon successful completion of 180 credits, you will be awarded a MSc in Business Analytics.
Please note that the list of modules given here is indicative. This information is published a long time in advance of enrolment and module content and availability is subject to change.
- Business Strategy and Analytics
- Marketing Analytics
- Statistical Foundations for Business Analytics
- Programming for Business Analytics
- Predictive Analytics
- Operations Analytics
Students take two optional modules from the following list of optional modules offered by the UCL School of Management.
- Data Engineering
- Data Visualisation
- Decision and Risk Analysis
- Natural Language Processing
- Network Analysis
- Machine Learning for Business
- Machine Learning for Domain Specialists
The optional modules listed are subject to change each year and are indicative only. Optional modules can change for a variety of reasons including but not limited to updated learning outcomes, lack of demand and resourcing. For questions about optional modules, please contact us at: firstname.lastname@example.org
- Further information about these modules is available on the department website.
All students undertake an independent research project which culminates in a dissertation of 12,000 words.
Teaching and learning
The programme is delivered through a combination of lectures, seminars, tutorials and project work. Assessment is through unseen written examinations, coursework and the dissertation.
For more information on additional costs for prospective students please go to our estimated cost of essential expenditure at Accommodation and living costs.
For a comprehensive list of the funding opportunities available at UCL, including funding relevant to your nationality, please visit the Scholarships and Funding website.
Graduates from this new programme will be likely to find employment in global companies and high-growth businesses, finance and banking organisations, and consulting firms.
Students will develop strong quantitative and analytical skills, an in-depth understanding of how companies use data to make decisions and improve business performance, and practical experience with leading business analytics tools.
They will be equipped to influence strategy and decision-making, and be able to drive business performance by transforming data into a powerful and predictive strategic asset.
Why study this degree at UCL?
The world is changing; companies are capturing trillions of bytes of information about their customers, suppliers, and operations. This explosion of data is disrupting industries and creating new opportunities. Companies need people who can take data, understand it, process it, extract value from it, visualise it, and communicate it. They need people who deeply understand data, its potential and its limitations, who can frame business problems, analyse data with statistical techniques, develop and maintain predictive models, and communicate analytics results to business executives, partners and customers.
Business Analytics requires a combination of management insight, strong quantitative and analytical skills, and an understanding of the technology required to handle data at scale.
UCL School of Management offers innovative undergraduate, postgraduate, and doctoral programmes to prepare people for leadership roles in the next generation of innovation-intensive organisations. The school works closely with global companies and high-growth businesses at the cutting-edge of management practice.
Students on the Business Analytics MSc will benefit from our extensive industry networks.
Department: UCL School of Management
Application and next steps
Students are advised to apply as early as possible due to competition for places. Those applying for scholarship funding (particularly overseas applicants) should take note of application deadlines.
This programme requires two references. Further information regarding references can be found in our How to apply section.
There is an application processing fee for this programme of £160 for both online and paper applications. Further information can be found at: ucl.ac.uk/prospective-students/graduate/taught/application.
Who can apply?
This is a postgraduate management degree programme designed for graduates with strong quantitative skills. We are looking for intellectually curious, self-motivated students who are passionate about business, technology and people, and who are prepared to commit to a rigorous and intellectually demanding academic programme.
- All applicants
- 31 May 2021
For more information see our Applications page.Apply now
What are we looking for?
When we assess your application we would like to learn:
- why you want to study Business Analytics at graduate level
- why you want to study Business Analytics at UCL
- what particularly attracts you to the chosen programme
- how your academic and professional background meets the demands of this challenging programme
- where you would like to go professionally with your degree
Together with essential academic requirements, the personal statement is your opportunity to illustrate whether your reasons for applying to this programme match what the programme will deliver.
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