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MSc Statistics And Computational Finance

  • DeadlineStudy Details:

    MSc 1 year full-time

Course Description

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

Our course emphasises data analysis and will provide you with contemporary statistical ideas and methodologies that are attractive to prospective employers. 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.

Entry Requirements

2:1 or equivalent in Mathematics or in a subject with a substantial mathematics component. We may accept a 2:2 undergraduate degree supported by relevant professional qualifications.

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Fees

For fees and funding options, please visit website to find out more

Programme Funding

We’ll confirm more funding opportunities for students joining us in 2022/23 throughout the year.

Student Destinations

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.

Module Details

University of York Campus

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