Msc Quantitative Finance

University of Glasgow

Glasgow, Scotland, UK
Msc Quantitative Finance
Duration12 Months
LevelMasters Program
  • This program draws on recent developments in finance with a quantitative approach to help students understand the structure of financial markets in order for them to make optimal investment decisions
  • Quantitative Finance will provide students a detailed understanding of:
    • The structure of financial markets and forecasting of financial data
    • Theoretical models in the core areas of quantitative finance, such as option pricing and hedging
    • Advanced econometric and calibration methods to construct practical models of asset prices using these theories
  • Students will put theory into practice by using software packages such as C++ and Matlab and will have access to Bloomberg training room to enhance their employability skills
  • Students will also develop programming skills to utilize in the workplace. In lectures, they will be taught the theory and be provided with a financial problem and they will solve these in labs/tutorials
Fees componentsAmount
Tuition & fees2223126 INR
Hostel & Meals501420 INR
Transportation30426 INR
Books and stationery40568 INR
Personal Expenses146045 INR
Total718459 INR

Entry Criteria

Class 12thNo specific cutoff mentioned
Bachelors60.0%
  • Applicants must have 2.1 Honours degree or non-UK equivalent in economics, finance, engineering, physics, or another highly mathematical discipline.
ExamsIELTS: 6.5
  • Two sub-tests no less than 6.5
  • No sub-test less than 6.0

PTE: 60
  • No sub-test less than 59

Additional info
  • The University of Glasgow will consider applications to Master degrees from graduates of Indian central, state or leading deemed and private universities
  • Ordinarily, applicants must have achieved a minimum cumulative 1st division or better across all years of their studies and all applications are considered on a case by case basis
  • Applicants will be made offers based on their relative performance compared to other applicants, taking into account both current GPA, or degree classification, and the relevance of an applicant’s academic background
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