Overview
The big data analysis skills you develop on Statistics and Computational Finance from University of York 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.
Quick Facts:
- 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.
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)
Get more details
Visit programme websiteProgramme 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
Check out the full curriculum
Visit programme websiteKey information
Duration
- Full-time
- 12 months
Start dates & application deadlines
- Starting
- Apply before , International
- Apply before , National
-
Language
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Credits
Delivered
Campus Location
- York, United Kingdom
Disciplines
Finance Statistics Computer Sciences View 486 other Masters in Computer Sciences in United KingdomExplore more key information
Visit programme websiteWhat students do after studying
Academic requirements
English requirements
Prepare for Your English Test
AI-powered IELTS feedback. Clear, actionable, and tailored to boost your writing & speaking score. No credit card or upfront payment required.
- Trusted by 300k learners
- 98 accuracy using real exam data
- 4.9/5 student rating
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.
Make sure you meet all requirements
Visit programme websiteTuition Fees
-
International Applies to you
Applies to youNon-residents33700 GBP / year≈ 33700 GBP / year -
Domestic Applies to you
Applies to youCitizens or residents16810 GBP / year≈ 16810 GBP / year
Living costs
York
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
Check for any work restrictions
Visit programme website
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Scholarships Information
Below you will find Master's scholarship opportunities for Statistics and Computational Finance.
Available Scholarships
You are eligible to apply for these scholarships but a selection process will still be applied by the provider.
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