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University of Bradford
Logistics Data Analytics and Supply Chain
Study detals
: Master's degree : MSc (Hons) Logistics Data Analytics and Supply Chain : Full time : 12 MonthRequirements
Entry requirements
The entry requirement for a postgraduate taught course is typically equivalent to a UK Second Class Honours Second Division (2:2).
The table below shows how the University equates qualifications from your country to UK degree classifications
| Qualification | UK 1st Class | UK 2:1 | UK 2:2 |
|---|---|---|---|
| Bachelor degree | 4.5/5.0 or 81% |
4.0/5.0 or 71% |
3.5/5.0 or 66% |
| Specialist Diploma |
4.5/5.0 |
4.0/5.0 or 71% |
3.5/5.0 or 66% |
Speciality
Pathways Available: Pre-Master's
Sandwich course fees - charged during the placement year away from the University of Bradford for students on thick sandwich courses, or during the year in which the second placement falls for students on thin sandwich courses. Students charged at 10% of the equivalent full-time fee.
If a placement year is to be undertaken abroad and supported by University funding through the University’s exchange programmes, fees will increase to 15% of standard fees to cover additional support, advice and administration costs.
Additional information
Degree Overview
This course is designed with inputs from logistics and supply chain professionals and focuses on the integration of data analytics techniques relating to this business field.
You will develop your understanding of topics such as:
- Emerging issues in Logistics and Supply Chain Management
- Business Data Analytics
- Supply Chain Analytics and Technology Management issues surrounding topics such as Industry 4.0 and Automation
- Procurement strategies and Business Sustainability
You’ll also be able to tailor your studies to emerging areas of interest, or your career aspirations; we offer a wide range of optional elective modules as part of our extensive postgraduate management portfolio.
You will further develop your intellectual and employability skills (critical thinking, communication, team work, problem-solving) by accessing the Faculty’s Career Booster professional development programme.
We use SAS, one of the world’s leading industry standard data analytics software as part of this degree to train students.
SAS are one of our strategic partners and acknowledge this course. They are advocates for our students gaining experience with the software, which is used widely in the business world.
