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Students
Tuition Fee
GBP 28,100
Per year
Start Date
Medium of studying
On campus
Duration
24 months
Program Facts
Program Details
Degree
Masters
Major
Plumbing Technology | Radiologic Technology
Area of study
Business and Administration | Natural Science
Education type
On campus
Timing
Full time
Course Language
English
Tuition Fee
Average International Tuition Fee
GBP 28,100
Intakes
Program start dateApplication deadline
2023-09-012023-08-01
About Program

Program Overview


  • Designed for those with a strong mathematical background looking to pursue a career in finance
  • Gain financial expertise from the University of Exeter Business School alongside mathematical skills from our internationally respected Mathematics department
  • Be prepared for careers in areas that require expert skills in mathematical and financial modelling, computational analysis and business management
  • Develop essential, complementary skills in areas such as probability and stochastic analysis, option pricing, risk analysis and extremes, computational methods using MATLAB/C++, financial management and investment analysis
  • Undertake a project in your chosen field, where you’ll develop your research, computational, and modelling skills with support from staff who have extensive experience working in multiple financial services and insurance industries.
  • Designed for those with a strong mathematical background looking to pursue a career in finance
  • Gain financial expertise from the University of Exeter Business School alongside mathematical skills from our internationally respected Mathematics department
  • Be prepared for careers in areas that require expert skills in mathematical and financial modelling, computational analysis and business management
  • Develop essential, complementary skills in areas such as probability and stochastic analysis, option pricing, risk analysis and extremes, computational methods using MATLAB/C++, financial management and investment analysis
  • Undertake a project in your chosen field, where you’ll develop your research, computational, and modelling skills with support from staff who have extensive experience working in multiple financial services and insurance industries.
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