Statistics and Computational Finance

Overview

Train to work as a professional statistician and gain skills and experience working at the interface between statistics and finance. 

The skills you gain are useful for a wide range of financial data analysis and in a range of other sectors where data analysis is required, for example sociology, health science, medical science or biology. This experience is also an ideal foundation for further academic study; many of our students choose to progress to PhD.

Our Statistics and Probability Group has a thriving research culture. Our group works with mainstream statistics to develop new methodology and apply it to real-world problems. The team produces world-class research, publishing in top journals. Our graduate students have full access to this expertise, as well as being exposed to forefront research carried out across the globe through our regular seminars and working groups.

Careers and skills

The big data analysis skills you develop on this course provide attractive employment opportunities in a growing number of industries where such skills are in high demand. The course is also a good foundation for continuing your studies at PhD level.

Career opportunities

• Banking and financial services

• Public administration

• Consultancy companies

• Research

• Data analysis industries

The destinations of recent graduates from this Statistics and Computational Finance course from University of York include:

• PhDs at the University of York

• PhD at Florida State University

• Modelling Analyst (automotive data provider)

• Graduate Technical Analyst (HSBC)

• Research and Development for a Property and Casualty Insurance company specialising in catastrophe insurance

• Mainframe Software Solution Sales for a major IT brand

• Data Analyst for a health data company

• Trainee Chartered Accountant