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MSc Statistics and Computational Finance

University of York

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Course options

  • Qualification

    MSc - Master of Science

  • Location

    University of York

  • Study mode

    Full time

  • Start date

    26-SEP-22

  • Duration

    1 year

Course summary

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.

Assessment and feedback

All taught modules are assessed by a combination of closed book written exams, coursework, projects, and presentations.

The closed book written exam assesses your subject-specific knowledge through both theoretical and practical questions and open-ended problems.

The coursework and projects often require the use of software, giving you an opportunity to develop your technical skills. They will test your subject knowledge and analytical, theoretical skills as well as the practical aspects of application, implementation, and interpretation.

Developing and delivering digital presentations will enhance your communication skills for a range of audiences, from the public to subject experts.

The independent study module relies on your own research, so you'll continue to develop your critical reasoning and digital literacy skills, including programming. As this module is assessed with a dissertation, your training is rounded off by consistently working on your written communication skills.

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

  • Quantitative analyst
  • Auditor
  • Account manager for a bank
  • Trainee chartered accountant
  • Management associate
  • Software developer

Tuition fees

Students living in United States
(international fees)

£ 26,930per year

Tuition fees shown are for indicative purposes and may vary. Please check with the institution for most up to date details.

University information

University of York

  • University League Table

    18th

  • Campus address

    University of York, Heslington, York, York, YO10 5DD, England

Inspiring teaching delivered by leading academics, integrated with award-winning employability programmes, equips students for the international labour market.
A diverse campus community of students from over 150 countries that offers a lifelong global alumni network.
Specialist international student support includes orientation, immigration advice, Language Skills Centres, and International Pathway College programmes.

Subject rankings

  • Subject ranking

    19th out of 113 1

    29th out of 72 1

  • Entry standards

    / Max 236
    148 66%

    28th

    5
  • Graduate prospects

    / Max 100
    94.0 94%

    12th

    3
  • Student satisfaction

    / Max 5
    3.92 78%

    53rd

    6
  • Entry standards

    / Max 236
    149 62%

    28th

    2
  • Graduate prospects

    / Max 100
    82.0 82%

    26th

    12
  • Student satisfaction

    / Max 5
    4.07 81%

    29th

    13

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