Blending computation, economics and finance.
To succeed in the finance industry, you need a mixture of competences rooted in finance, economics and computer science. We deliver rigorous training in these disciplines by covering principles of quantitative finance and microeconomics alongside current computational skills. We focus on established and emergent technologies to deal with big data, such as machine learning, and decentralised exchanges, including blockchain.
We provide a vibrant and multidisciplinary research environment so our PhD students publish papers in prestigious international conferences and often attract the attention of industry and government. Our graduates have gone on to become quantitative analysts, portfolio managers and software engineers at institutions such as HSBC and Mitsubishi UFJ Securities.
Want to quiz us about your course? Got a question that just needs answering? Get in touch and we’ll do our best to email you back shortly.
Following the impact of the pandemic, we made changes to our teaching and assessment to ensure our current students could continue with their studies uninterrupted and safely. These changes included courses being taught through blended delivery, normally including some face-to-face teaching, online provision, or a combination of both across the year.
The teaching and assessment methods listed on each course page show what is currently planned for 2021 entry; changes may be necessary if, by the beginning of this course, we need to adapt the way we’re delivering them due to the external environment, and to allow you to continue to receive the best education possible safely and seamlessly.