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Logistics, Data Analytics and Supply Chain Management, MSc

The University of Bradford, the United Kingdom

The University of Bradford

Study options for this course

The award How you will study Study duration Course start Domestic course fees International course fees
MScFull-time1 yearJanuary, SeptemberGBP 10270 per yearGBP 15650 per year

About Logistics, Data Analytics and Supply Chain Management, MSc - at The University of Bradford

Our new Master’s programme in Logistics, Data Analytics and Supply Chain Management is designed for those considering broadening their knowledge beyond their existing discipline and securing a career in logistics, supply chain and transport field.

The programme 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.

Notes about fees for this course

The Student Finance service provides student loans to help pay for tuition fees and the cost of living, depending on your circumstances.

You'll be charged interest on your loan as soon as you take it out, but you only start repayments once you earn more than a certain amount - currently £21,000.

Repayments are based on how much you earn, not how much you've borrowed.

Entry requirements

IELTS at 6.5 or equivalent with a minimum of 5.5 in each sub-test.

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Related Information

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