Business Data Analytics
Master
In Cranfield
Description
-
Type
Master
-
Mode of study
Full-time
-
Languages
English
-
Location
Cranfield
-
Duration
12 Months
-
Start date
30/09/2026
Drawing on faculty from across Cranfield University, the course is led by Cranfield’s Economics and Banking Group, which has been consistently ranked in the World top 10 in the Financial Times.
By studying this master’s in business data analytics, you will be immersed in a varied, stimulating, and experiential learning environment. Taught modules consist of formal lectures, in-class discussions and computer-based practical sessions, placing an emphasis on the practical application of business analytics.
Facilities
Location
Start date
Start date
About this course
Cranfield School of Management consistently performs well in international business rankings.
You will have the opportunity to undertake an individual thesis in conjunction with an external organisation, presenting findings to senior managers from the organisation involved.
You will develop your knowledge and skills in business data analytics, develop your self-awareness and undergo personal development, critical to career progression.
You will benefit from our close connections with international businesses, by using learning approaches based on real-world problems you will develop skills that are practical and distinctive.
Gain analytical skills which will enable you to identify routes to sustainable competitive advantage for organisations and communities across the world
The Business Data Analytics MSc has been designed for early to mid-career students who want to specialise in business data analytics and learn in an applied setting.
We welcome applications from talented candidates of all backgrounds and each application is considered on its individual merit. Usually candidates must hold either a:
First or a second class UK honours degree in a relevant discipline, or
an international qualification of a standard equivalent to a First or second class UK honours degree
Candidates’ prior degree must include a quantitative methods module, or a thesis with significant elements of quantitative methods.
We accept a range of qualifications from different countries
An external advisory panel informs the design and development of the course, and comprises senior management practitioners, reinforcing its relevance to the modern business world. Many of our faculty have held senior positions in industry and continue to engage with industry through consultancy and teaching. They are also supported by a team of international visiting industry speakers from influential financial organisations and professors who bring the latest thinking and best practice into the classroom.
Reviews
Subjects
- Business Studies
- Data analysis
- Business Data
- Artificial Intelligence
- Business Process
Teachers and trainers (1)
Andrew Angus
Professor of Environmental and Natural Resource Economics
Course programme
This course comprises 6 core modules. Each delivered module comprises 40 hours of class contact time with a further 160 hours of study time to consolidate learning and carry out assignments, giving 200 notional learning hours per module. The thesis component of the module is a total of 80 credits.
Course delivery
Taught modules 60%, thesis 40%
Keeping our courses up-to-date and current requires constant innovation and change. The modules we offer reflect the needs of business and industry and the research interests of our staff. As a result, they may change or be withdrawn due to research developments, legislation changes or for a variety of other reasons. Changes may also be designed to improve the student learning experience or to respond to feedback from students, external examiners, accreditation bodies and industrial advisory panels.
To give you a taster, we have detailed the compulsory and elective (where applicable) modules which are currently affiliated with this course. All modules are indicative only and may be subject to change for your year of entry.
Business Data Analytics
