Machine Learning and AI is a course for participants with a background in economics, engineering or the like, who are either already familiar with, or willing to make preparatory efforts to learn to use the Python programming tool, as a project involving the use of Python is part of the course.
The financial sector is increasingly embracing data science, whether it takes the form of data analytics, data management, data mining, big data, artificial intelligence including machine learning, deep learning, or the like. This fast-evolving field is triggering a fundamental rethink of financial institutions’ strategies and business development, ranging from, consumer analytics (client segmentation, cross-selling), customer data management, M&A analytics, risk analytics to trading applications and algorithmic trading.
As a result, a robust understanding of how it works and how to use it in a business context is becoming a must to boost a career in finance. Understanding data science is not just for scientists and programmers but is a business necessity in the financial world and it is arguably now a cornerstone of any master in finance.
Participants in the Advanced Master in Financial Markets will select one the following two courses as part of the curriculum of the Advanced Master, reflecting their interest and background
- Data Analytics
- Machine Learning and AI
Both courses are designed for participants looking to develop their business capabilities, backed up by some technical skills.
The choice between the two courses will not need to be made until December, after discussion with the Academic Director. Classes of the two courses will not overlap, as we intend to seek to allow Participants who have selected one of them for their Advanced Master curriculum to also register for the other course as part of a separate Module if they so wish.
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