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International Master's in Statistics with Finance logo
University of Kent logo

International Master's in Statistics with Finance

University of Kent
Tuition GBP 14,670 (Tuition (Year)) — EU/EEA students
Degree MSc
Duration 24 months
Delivery On-campus
Location Canterbury, United Kingdom
Language English

Program Overview

The International Master's in Statistics with Finance at University of Kent is a MSc programme in Business & Management over 24 months, delivered On-campus. This programme equips graduates with advanced knowledge and practical skills for professional and academic careers in the field.

Students gain a rigorous grounding in both the theoretical foundations and applied dimensions of business & management. The programme combines coursework, research components, and practical projects that develop critical thinking, problem-solving, and specialist expertise relevant to industry and research needs.

Graduates of the International Master's in Statistics with Finance programme are well-prepared for careers in academia, industry, government, and the private sector across Belgium and internationally. The programme provides an internationally recognised qualification within the Bologna higher education framework.

Key Program Features

  1. Duration: 24 months
  2. Language of instruction: English
  3. Study mode: On-campus
  4. English requirement: IELTS 6
  5. Tuition: GBP 14,670 (Tuition (Year)) — EU/EEA students
  6. Location: Canterbury, Belgium

Career Opportunities

Graduates of the International Master's in Statistics with Finance programme are prepared for diverse careers in business & management:

  1. Business Analyst
  2. Management Consultant
  3. Product Manager
  4. Strategy Analyst
  5. Operations Manager
  6. Entrepreneur

Program Curriculum

Course Structure

  1. Stochastic Processes
  2. Time Series Modelling and Simulation
  3. Analysis of Variance
  4. Practical Multivariate Analysis
  5. Advanced English for Academic Study in the Applied Sciences
  6. Analysis
  7. Linear Algebra
  8. Project in Statistics or Probability
  9. Regression Models
  10. Probability and Inference
  11. Portfolio Theory and Asset Pricing Models
  12. Mathematics of Financial Derivatives
  13. Analysis of Large Data Sets
  14. Practical Statistics and Computing
  15. Modelling of Time-Dependent Data and Financial Econometrics
  16. Project
  17. Probability and Classical Inference
  18. Advanced Regression Modelling
  19. Bayesian Statistics
  20. give you the depth of technical appreciation and skills appropriate to Masters\x92 level
  21. students in statistics
  22. equip you with a comprehensive and systematic understanding of theoretical and
  23. practical statistics, and their uses in finance
  24. develop your capacity for rigorous reasoning and precise expression
  25. develop your capability to formulate and solve problems relevant to statistics
  26. develop your appreciation of recent developments in statistics and the links
  27. between the theory of statistics and financial modelling (and other areas of application)
  28. develop your logical, mathematical approach to solving problems
  29. develop your enhanced capacity for independent thought and work
  30. ensure you are competent in the use of information technology, and are familiar
  31. with computers and relevant software
  32. provide you with opportunities to study advanced topics in statistics, engage in research at some level, and develop communication and personal skills
  33. provide you with the depth of knowledge of the subject sufficient to enter a career as a professional statistician or appropriate career in quantitative finance
  34. provide a deep understanding of the use of statistics in finance and financial econometrics.
  35. probability and statistics and the range of principles involved
  36. the links between different statistical concepts and methods
  37. advanced information technology skills relevant to statisticians
  38. a comprehensive range of methods and techniques appropriate to statistics at postgraduate level
  39. the role of logical mathematical argument and deductive reasoning
  40. an appreciation of particular subject areas to which statistics is applied, particularly finance, and the important role of statistics in those areas
  41. an appreciation of the use of statistics in finance and the probabilistic concepts involved.
  42. the ability to demonstrate a comprehensive understanding of the main body of statistical knowledge
  43. the ability to demonstrate skill in calculation and manipulation of data
  44. the ability to apply a range of statistical concepts and principles in various challenging contexts
  45. the ability for logical argument
  46. the ability to demonstrate skill in solving complex statistical problems using appropriate and advanced methods
  47. the ability in relevant computer skills and usage
  48. the ability to work with relatively little guidance
  49. the ability to evaluate research work critically.
  50. the ability to demonstrate knowledge of advanced statistical concepts and topics, both explicitly and by applying them to the solution of problems
  51. the ability to demonstrate knowledge of statistical modelling techniques commonly applied to finance
  52. the ability to abstract the essentials of problems to facilitate statistical analysis and interpretation
  53. the ability to present statistical analyses and draw conclusions with clarity and accuracy.
  54. problem-solving skills: the ability to work independently to solve problems involving qualitative or quantitative information
  55. communication skills, including the capacity to report to others on analyses undertaken
  56. computational skills
  57. information-retrieval skills involving a range of resources
  58. information technology skills including scientific word-processing
  59. time-management and organisational skills, as evidenced by the ability to plan and implement efficient and effective modes of working
  60. skills needed for continuing professional development.

Admission Requirements

Academic Requirements

A good first degree (or the equivalent) in an appropriate quantitative subject.

English Proficiency: IELTS 6 or equivalent.

Tuition & Financial Information

Tuition Fee

GBP 14,670 (Tuition (Year)) — EU/EEA students

Tuition fees: GBP 14,670 (Tuition (Year)) — EU/EEA students

IELTS requirement: 6

Financial Aid & Scholarships

Contact University of Kent directly for scholarship, grant, and financial aid information for this programme. Many European universities offer merit-based and need-based funding for international and domestic students.

About University of Kent

University of Kent logo

University of Kent

Canterbury, United Kingdom

University of Kent is a well-established public research university in the United Kingdom, founded in 1965 with main campuses in Canterbury and Medway and specialist centres in Brussels and Paris....

University Profile
  • Language English
  • Duration 24 months