Financial Data Analytics - MSc

University of Sussex    School of Mathematical and Physical Sciences

Full time September MSc 1 Year Full Time
Computer Science (8) Finance (14)

FindAMasters summary

Unleash your potential with the MSc in Financial Data Analytics. Dive into the dynamic realm of quantitative finance, data analytics, and mathematics with a curriculum designed to equip you with the skills demanded by the evolving financial industry. Master algorithmic data science, financial mathematics, machine learning, and more through core modules and diverse options like cryptography and statistical inference. Upon graduation, you'll possess analytical prowess, research acumen, and the ability to articulate complex ideas effectively. The programme welcomes applicants with a 2.1 or higher undergraduate degree, particularly in mathematics, finance, economics, or related fields. Professional qualifications or equivalent experience are also considered. Prepare for a successful career in accountancy, consultancy, data science, financial services, and more. Join us to become a sought-after professional in the financial landscape.

About the course

The financial industry is in a period of change. Information is available in more detail than ever before. This creates a need for quantitative analysts with a profound understanding of financial principles, along with data science and mathematics skills.

This MSc introduces you to the dynamic world of quantitative finance, the revolutionary ideas of data analytics and the rigorous elegance of mathematics. During your studies, you’ll:

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Entry Requirements

You should have an upper second-class (2.1) undergraduate honours degree or above.

Your qualification should have a mathematics content, demonstrating knowledge in calculus, probability and statistics. You are suited to this course if your qualification is in mathematics, finance, economics, business, science, engineering or computing. You may also be considered for the course if you have other professional qualifications or experience of equivalent standing.

 Course Content

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