12 months
Duration
25240 GBP/year
12660 GBP/year
Unknown
Tuition fee
Anytime
Unknown
Apply date
Unknown
Start date

About

The Statistics and Computational Finance course from University of York emphasises data analysis and will provide you with contemporary statistical ideas and methodologies that are attractive to prospective employers. 

Visit the official programme website for more information

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

Programme Structure

Courses include:

  • Advanced Regression Analysis
  • Portfolio Theory and Risk Management
  • Financial Time Series
  • Advanced Multivariate Analysis 
  • Computational Finance 
  • Mathematical Methods of Finance 
  • Stochastic Calculus & Black-Scholes Theory 

Key information

Duration

  • Full-time
    • 12 months

Start dates & application deadlines

More details

Applications can be submitted year-round, but we recommend you apply as early as possible as entry to many courses is competitive.

Credits

180 alternative credits

Delivered

On Campus

Academic requirements

GPA admission requirements GPA
Upper Second Class

Other requirements

General 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.

Tuition Fee

To alway see correct tuition fees
  • International

    25240 GBP/year
    Tuition Fee
    Based on the tuition of 25240 GBP per year during 12 months.
  • National

    12660 GBP/year
    Tuition Fee
    Based on the tuition of 12660 GBP per year during 12 months.

Living costs for York

646 - 1124 GBP /month
Living costs

The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.

Funding

Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.

Our partners

Statistics and Computational Finance
-
University of York

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