Big Data Applications for Finance
Queen Mary University of London · England · ECN384
Big Data Applications for Finance is a subject at Queen Mary University of London, England. It covers topics like big-data, business-analytics, data-analytics, financial-mathematics. It is part of 5 degrees. The information below is compiled from public course material — approximate, not official.
Queen Mary University of London
ECN384
3.00
Topics covered
Degrees that include Big Data Applications for Finance
- Economics and Finance BSc(Econ)
- Economics and International Finance BSc(Econ)
- Economics and International Relations BSc(Econ)
- Economics, Finance and Management BSc(Econ)
- Finance BSc(Econ)
Frequently asked questions
What is Big Data Applications for Finance about?
Big Data Applications for Finance covers topics like big-data, business-analytics, data-analytics, financial-mathematics.
Which degrees include Big Data Applications for Finance?
Big Data Applications for Finance is part of 5 degrees, including Economics and Finance BSc(Econ), Economics and International Finance BSc(Econ), Economics and International Relations BSc(Econ), Economics, Finance and Management BSc(Econ), Finance BSc(Econ).
How many credit points is Big Data Applications for Finance?
Big Data Applications for Finance at Queen Mary University of London is typically around 3.00 credit points. Approximate — confirm with the university.
Where is Big Data Applications for Finance taught?
Big Data Applications for Finance is taught at Queen Mary University of London, England.
Studying Big Data Applications for Finance?
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Sources: Queen Mary University of London public course catalogue. Information is compiled and summarised — not copied verbatim — and is approximate; always confirm with the original source.
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