An undergraduate degree in a relevant field, such as Mathematics, Statistics, Physics, Engineering, Computer Science, Finance and Economics. UK: Upper Second Class Honours. China: 1st tier universities: 75% or above; 2nd tier universities: 80% or above. North America: 3.0 cumulative GPA (out of 4) or 3.2 cumulative GPA in the final two years of your undergraduate programme. Other regions: Equivalent academic qualifications; IELTS: 6.5 with a minimum of 6.0 in all sections. TOEFL iBT: 94 (min 21 listening, 22 reading, 23 speaking, 21 writing).
Months of entry
The objective of the MSc in Financial Mathematics is to provide advanced analytical training, quantitative knowledge and 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 successful careers in the finance and banking industries. It is heavily maths/quant weighted with advanced maths modules and programming modules designed with practical applications in Mathematical/Quant Finance.
The programme will equip graduates with:
- intellectual skills and theoretical understandings 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
- Microeconomics for Financial Mathematics
- Mobile Communications
- Quantitative Methods
- Numerical Computation in Finance
- Advanced Risk Management
A graduate degree in Financial Mathematics gives you many employment opportunities:
- the business world such as banks, investment firms, insurance companies;
- government entities;
- teaching and research at universities or research institutions;
- consulting services to financial industries, government regulators, and business entities.
Our predominantly international staff members create a truly international environment that is welcoming to students from all backgrounds. Through research-led teaching we bring you in contact with the latest developments and ideas in our fields of research and prepare you for the competitive job market.
The research interests of the Department of Mathematical Sciences faculty cover a wide range of mathematical problems including: financial mathematics, pricing of financial derivatives, risk estimation, modern analyses, partial differential equations, biomathematics, discrete mathematics, fluid flows, dynamical systems, numerical methods, statistics, and probability.
Learning and Teaching
The Mathematical Sciences programmes are delivered through a combination of formal lectures, tutorials, guided reading, private study, and both supervised and unsupervised practical work, which includes mathematical workshop practices as well as more involved projects. The final year project that you undertake under the supervision of our staff, provides you with experience that is valuable in your future career by helping you become an independent thinker that can efficiently and effectively work on challenging problems.
Find out more about the Department of Mathematical Sciences by visiting our website at http://maths.xjtlu.edu.cn
Fees and funding
Qualification and course duration
Course contact details
- PG Enquiries