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About the course
Course overview
This unique course provides training from three top departments at the University of Warwick: Mathematics, Statistics and Warwick Business School. Building on your strong mathematical background, you will develop and apply the quantitative skills in machine learning, computational statistics and mathematical finance that are used within the financial markets and finance industry.
Our core modules focus on the four elements of the core skill set needed for careers in finance: Financial Statistics, Financial Mathematics, Asset Pricing and Risk, and Simulation and Machine Learning for Finance. In line with these modules, you will also learn programming for Quantitative Finance, focusing on C++, Python, and R.
Entry Requirements
A 2.1 or first in BSc Financial Mathematics (or similar), BSc Mathematics or BSc Statistics. You will need strong ability in mathematics and finance, and some experience in statistics or econometrics.
Please see website for more information.
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Where will I study?
Where is University of Warwick
Student Profile
Luke Jeeves Quantitative
The course was well-rounded and varied but went into significant detail in the crucial concepts I would need for a career in quantitative finance.
