Statistics with Finance and an Industrial Placement (MSc)

the United Kingdom

For more information about Statistics with Finance and an Industrial Placement at University of Kent, please visit the webpage using the button above.

The award
MSc

How long you will study
24 Months

Domestic course fees
find out

How you will study
full-time

Course starts
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International course fees
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All study options

About Statistics with Finance and an Industrial Placement at University of Kent

Location: Canterbury


The MSc in Statistics with Finance is accredited by the Royal Statistical Society (RSS) and is excellent preparation for careers in any field requiring a strong statistical background.

This programme trains students for careers using statistics in the financial services industry. You study the statistical modelling underpinning much modern financial engineering combined with a deep understanding of core statistical concepts. The programme includes modelling of financial time series, risk and multivariate techniques.

Knowledge and understanding

  • Systematic understanding of probability and statistics and the range of principles involved.
  • Awareness of links between different statistical concepts and methods.
  • Advanced information technology skills relevant to statisticians.
  • A comprehensive range of methods and techniques appropriate to statistics at the postgraduate level.
  • The role of logical mathematical argument and deductive reasoning.
  • Appreciation of particular subject areas to which statistics is applied, particularly finance, and the importance of the role of statistics in those areas.
  • Appreciation of the use of Statistics in Finance and the probabilistic concepts involved.

Intellectual Skills

  • Ability to demonstrate a comprehensive understanding of the main body of statistical knowledge.
  • Ability to demonstrate skill in calculation and manipulation of data.
  • Ability to apply a range of statistical concepts and principles in various challenging contexts.
  • Ability for logical argument.
  • Ability to demonstrate skill in solving complex statistical problems using appropriate and advanced methods.
  • Ability in relevant computer skills and usage.
  • Ability to work with relatively little guidance.
  • Ability to evaluate research work critically.

Subject-specific skills

  • Ability to demonstrate knowledge of advanced statistical concepts and topics, both explicitly and by applying them to the solution of problems.
  • Ability to demonstrate knowledge of statistical modelling techniques commonly applied to finance.
  • Ability to abstract the essentials of problems to facilitate statistical analysis and interpretation.
  • Ability to present statistical analyses and draw conclusions with clarity and accuracy.

Transferable skills

  • Problem-solving skills; ability to work independently to solve problems involving qualitative or quantitative information.
  • Communication skills, including the capacity to report to others on analyses undertaken.
  • Computational skills.
  • Information-retrieval skills involving a range of resources.
  • Information technology skills including scientific word-processing.
  • Time-management and organisational skills, as evidenced by the ability to plan and implement efficient and effective modes of working.
  • Skills needed for continuing professional development.
  • Practical experience of the application in a working environment of knowledge and skills gained through academic study.
  • To give students the depth of technical appreciation and skills appropriate to masters' level students in Statistics.
  • To equip students with a comprehensive and systematic understanding of theoretical and practical Statistics, and their uses in Finance.
  • To develop students’ capacity for rigorous reasoning and precise expression.
  • To develop students’ capabilities to formulate and solve problems relevant to Statistics.
  • To develop in students appreciation of recent developments in Statistics, and of the links between the theory of Statistics and financial modelling (and other areas of application).
  • To develop in students a logical, mathematical approach to solving problems.
  • To develop in students an enhanced capacity for independent thought and work.
  • To ensure students are competent in the use of information technology, and are familiar with computers, together with the relevant software.
  • To provide students with opportunities to study advanced topics in Statistics, engage in research at some level, and develop communication and personal skills.
  • To provide successful students with the depth of knowledge of the subject sufficient to enter a career as a professional statistician or appropriate career in quantitative finance.
  • To provide a deep understanding of the use of Statistics in Finance and Financial Econometrics

Study options for this course

  • The award How you will study How long you will study Course starts Domestic course fees International course fees
  • The awardMScHow you will studyFull-timeHow long you will study24 months
    Course starts find outDomestic course fees find outInternational course fees find out

Notes about fees for this course

Full Time UK/EU: TBC EUR | Full Time Overseas: TBC EUR

Entry requirements

Contact University of Kent to find course entry requirements.

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