MSc Mathematical Finance

MSc Mathematical Finance

University of Manchester

Manchester, Greater Manchester, UK
MSc Mathematical Finance
Duration1 Year
LevelMasters Program
  • The Department of Mathematics and Alliance Manchester Business School at the University of Manchester have combined their academic strength and practical expertise to deliver the MSc in Mathematical Finance (UK 1 year), ensuring that students can experience both the mathematical and economic perspective of the subject
  • The course provides students with advanced knowledge and understanding of the main theoretical and applied concepts in Mathematical Finance delivered from a genuinely international and multi-cultural perspective with a current issues approach to teaching
  • The focus is on mathematical theory and modelling, drawing from the disciplines of probability theory, scientific computing and partial differential equations to derive relations between asset prices and interest rates and to develop models for pricing, risk management and financial product development

 

Fees componentsAmount
Tuition & fees2332660 INR
Hostel & Meals672313 INR
Transportation54260 INR
Personal expenses263692 INR
Clothes52738 INR
Total1043003 INR

Entry Criteria

Class 12thNo specific cutoff mentioned
BachelorsNo specific cutoff mentioned
  • Applicant must have a good honors degree 
  • Applicant must have
    • A good background in Probability Theory is essential; for example two courses in Probability, Probability 1 and Probability 2
    • Knowledge of Statistics is highly desirable, for example, Introduction to Statistics
    • More advanced courses in Probability are highly desirable, for example, Foundations of Modern Probability
    • Knowledge of measure-theoretical Probability and/or measure theory is desirable as well
    • An introduction to Markov processes is desirable but not essential, for example, Random models or Markov processes, but not essential
    • Knowledge of real analysis is essential and complex analysis is desirable, for example, Real and Complex Analysis
    • Knowledge of basic calculus, for example, Calculus and Vectors A, and ordinary differential equations is essential, Calculus and Applications A
    • Knowledge of partial differential equations is highly desirable, for example, Partial Differential Equations and Vector Calculus A
    • Knowledge of solving partial differential equations numerically is desirable but not essential
    • Although there is no formal requirement for previous programming experience, a familiarity with writing computer programs (for example, in Python, MATLAB, C/C++ or Java) is desirable
ExamsIELTS: 6.5
  • with at least 6.5 in writing and 5.5 in each other component

PTE: 59
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