Actuarial Science and Data Analytics MSc
Queen Mary University of London · England · P900006
Actuarial Science and Data Analytics MSc at Queen Mary University of London lists 10 subjects. Subjects include Survival Models, Financial Engineering and Mathematical Tools for Asset and Liability Management. The topics that come up most are statistical computing, machine learning and deep learning (3, 3 and 3 subjects).
Compiled from public course information: approximate, not official.
Queen Mary University of London
Postgraduate
What you'll study in Actuarial Science and Data Analytics MSc
Example subjects: Survival Models, Financial Engineering, Mathematical Tools for Asset and Liability Management, Time Series, Topics in Scientific Computing, Storing, Manipulating and Visualising Data, Neural Networks and Deep Learning, Machine Learning with Python, Computational Statistics with R, Advanced Machine Learning.
Frequently asked questions
What will I study in Actuarial Science and Data Analytics MSc?
Actuarial Science and Data Analytics MSc covers areas like statistical-computing, machine-learning, deep-learning, computational-biology, financial-analysis, data-mining, data-structures, computational-mathematics.
Who offers Actuarial Science and Data Analytics MSc?
Actuarial Science and Data Analytics MSc is offered by Queen Mary University of London, England.
Considering Actuarial Science and Data Analytics MSc?
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Sources: Queen Mary University of London official course page. Information is compiled and summarised, not copied verbatim, and is approximate; always confirm with the original source.
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