The MSc Financial Mathematics programme provides you with advanced analytical training, quantitative knowledge and the practical skill sets required by modern financial institutions. It aims to equip you with a solid education in financial analysis, risk management and financial engineering for a successful career in the finance and banking industries. It is heavily weighted towards advanced mathematics and programming modules designed with practical applications in mathematical and quantitative finance.
Graduates of this programme, as with all XJTLU masters degrees, earn a University of Liverpool degree that is recognised by the Chinese Ministry of Education.
Why should I study Financial Mathematics at XJTLU?
The programme keeps a balance between theoretical and practical knowledge which is crucial for a successful career in the financial industry. Upon successful completion of the programme the students gain important skills in computational and theoretical aspects of finance and will have extensive experience in working with financial data and with terminals such as the Wind Financial Terminal that provides data on the Chinese market.
Through our industry network and connections we support the students' career development via internship opportunities and organise various events to improve networking activities with the financial industry. Overall, given the career prospects and skills acquired the programme offers an excellent and unique opportunity for successful candidates.
Knowledge and skills
The MSc Financial Mathematics programme will equip you with:
- intellectual skills and theoretical understanding appropriate for the study of financial mathematics and quantitative analysis at postgraduate level
- practical mathematics and object-oriented programming skills linking finance theories to real-world application
- skills in research, evaluation and analysis and the quantitative techniques to evaluate and interpret complex data and research literature
- skills and abilities to devise, plan and undertake complex research projects in the field of financial mathematics.
- Advanced modelling methods in finance
- Advanced financial econometrics
- Computational methods in finance
- Continuous time finance
- Advanced statistics
- Stochastic calculus
- Quantitative methods
- Numerical computation in finance
- Advanced risk management.
Additional learning activities
The completion of additional learning activities is required to complete your masters degree. Normally, required ALA hours will be distributed evenly across each semester, amounting to 200 hours per semester. Part-time programmes will normally require 100 to 150 hours per semester.
A postgraduate degree in financial mathematics gives you many employment opportunities in the business world such as in banks, investment firms, insurance companies, consulting services to the financial industry, government regulation agencies and businesses. You could also conduct teaching and research at universities, research institutions or government departments.