Advanced Financial Modelling and Machine Learning
University of Sussex · England · 108256
Advanced Financial Modelling and Machine Learning is a subject at University of Sussex, England in Postgraduate. It covers topics like financial-analysis, financial-mathematics, financial-technology, machine-learning. It is part of 7 degrees. The information below is compiled from public course material — approximate, not official.
University of Sussex
108256
3.00
Postgraduate
Topics covered
Degrees that include Advanced Financial Modelling and Machine Learning
- Banking and FinanceMSc
- Business Finance with Applied AIMSc
- Finance and Technology (FinTech)BSc (Hons) / BSc (Hons) with a professional placement year
- Finance IntegratedPhD
- Financial Data AnalyticsMSc
- Fintech, Risk and Investment AnalysisMSc
- Mathematics with FinanceBSc (Hons) / MMath
Frequently asked questions
What is Advanced Financial Modelling and Machine Learning about?
Advanced Financial Modelling and Machine Learning covers topics like financial-analysis, financial-mathematics, financial-technology, machine-learning.
Which degrees include Advanced Financial Modelling and Machine Learning?
Advanced Financial Modelling and Machine Learning is part of 7 degrees, including Banking and FinanceMSc, Business Finance with Applied AIMSc, Finance and Technology (FinTech)BSc (Hons) / BSc (Hons) with a professional placement year, Finance IntegratedPhD, Financial Data AnalyticsMSc.
How many credit points is Advanced Financial Modelling and Machine Learning?
Advanced Financial Modelling and Machine Learning at University of Sussex is typically around 3.00 credit points. Approximate — confirm with the university.
Where is Advanced Financial Modelling and Machine Learning taught?
Advanced Financial Modelling and Machine Learning is taught at University of Sussex, England.
Studying Advanced Financial Modelling and Machine Learning?
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Sources: University of Sussex public course catalogue. Information is compiled and summarised — not copied verbatim — and is approximate; always confirm with the original source.
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