BSc (Econ)(Hons) Economics, Finance and Management
Spanning three years, with options to extend to four or five years to include a year ab...
MSc Financial Mathematics
Mile End
INTAKE: September
Program Overview
The MSc in Financial Mathematics is a highly interdisciplinary course that combines advanced mathematics with financial theory. It is aimed at students with a strong background in mathematics, physics, engineering, or economics, who wish to specialize in the financial industry. The program covers key areas such as financial derivatives, quantitative finance, risk management, and mathematical modeling, preparing graduates to understand and predict market behavior and financial systems. The course is structured to combine theoretical knowledge with practical application, making it ideal for those aiming to enter the financial industry or pursue further academic study.
Curriculum: The curriculum of the MSc Financial Mathematics program includes core modules such as "Mathematical Methods for Finance," "Financial Derivatives," and "Stochastic Processes in Finance." Students will also study topics like "Risk Management," "Quantitative Trading," and "Computational Finance." The program includes a dissertation project where students can apply the techniques learned in the course to a real-world problem, typically involving financial data analysis or mathematical modeling.
Research Focus: Queen Mary University of London is known for its cutting-edge research in mathematics and finance, and students in the MSc Financial Mathematics program benefit from this rich research environment. The program focuses on areas such as financial modeling, quantitative risk management, and the development of algorithms for financial applications. Faculty members are engaged in both applied and theoretical research in financial mathematics, with contributions to algorithmic trading, pricing complex financial products, and understanding market dynamics.
Industry Engagement: The program has strong ties to the financial industry, and students have opportunities to engage with professionals through guest lectures, internships, and industry events. Queen Mary University of London collaborates with major financial institutions, offering students access to real-world case studies and the opportunity to network with industry leaders. These engagements help students apply their learning to the financial sector and build connections that may aid in their job search after graduation.
Global Perspective: With a diverse student body and global faculty expertise, the MSc Financial Mathematics program offers a global perspective on financial markets and practices. The curriculum includes examples and case studies from a variety of international financial systems, giving students an understanding of the global economy. Additionally, the program’s interdisciplinary approach enables students to view financial issues from both a mathematical and economic standpoint, preparing them for careers in the global financial sector.
Location
Mile End
Score
IELTS 6.5
Tuition Fee
£ 31500
Postgraduate Entry Requirements:
- Applicants should have successfully completed a bachelor's degree or its equivalent from a recognized institution with a minimum overall score of 60% or equivalent.
- English language proficiency is required, and applicants must provide evidence of their English language skills through an approved language test.
- IELTS: A minimum overall score of 6.5 with no individual component below 6.0.
- TOEFL: A minimum overall score of 92, with at least with at least 17 in Listening, 18 in Reading, 20 in Speaking, and 21 in Writing.
- PTE Academic: A minimum overall score of 71 with 65 in Writing, and 59 in Reading, Listening and Speaking..
- Some postgraduate programs may have specific subject prerequisites or additional requirements.
Students must provide:
- academic marksheets & transcripts
- letters of recommendation
- a personal statement - SOP
- passport
- other supporting documents as required by the university.
Work experience: Some postgraduate courses may require relevant work experience in the field.
It is important to note that meeting the minimum entry requirements does not guarantee admission, as the university considers factors such as availability of places and competition for the program. Additionally, some courses may have higher entry requirements or additional selection criteria, such as interviews or portfolio submissions.
Queen Mary University of London offers a range of scholarships and bursaries to its students.
Queen Mary International Excellence Scholarships: A scholarship program for international undergraduate and postgraduate students who have an offer of admission from Queen Mary University of London and have demonstrated academic excellence. The scholarship covers full tuition fees for one year of study.
Queen Mary Law Scholarships: A scholarship program for undergraduate and postgraduate law students who have an offer of admission from Queen Mary University of London and have demonstrated academic excellence. The scholarship covers full or partial tuition fees, depending on the level of academic achievement.
Queen Mary Engineering and Materials Science Scholarships: A scholarship program for undergraduate and postgraduate students studying engineering or materials science who have an offer of admission from Queen Mary University of London and have demonstrated academic excellence. The scholarship covers full or partial tuition fees, depending on the level of academic achievement.
The MSc in Financial Mathematics program equips graduates with the skills and knowledge needed to pursue a variety of rewarding careers in the finance and investment sectors.
Quantitative Analyst: Graduates can work as quantitative analysts, utilizing mathematical and statistical models to analyze financial data, assess risk, and develop trading strategies.
Risk Manager: Graduates may become risk managers, responsible for identifying and managing financial risks within organizations.
Financial Consultant: Graduates can offer financial consulting services to clients, providing expert advice on investment strategies and risk management.
Portfolio Manager: Graduates may pursue roles as portfolio managers, overseeing investment portfolios and making decisions to optimize returns.
Financial Data Analyst: Graduates with strong analytical skills can work as data analysts, extracting insights from financial data to support decision-making.
Algorithmic Trader: Graduates can become algorithmic traders, developing and implementing automated trading strategies using quantitative models.
Investment Analyst: Graduates may work as investment analysts, conducting research and analysis to evaluate potential investment opportunities.
Derivatives Analyst: Graduates with expertise in derivatives can specialize in analyzing and pricing complex financial instruments.
Financial Software Developer: Graduates with programming skills can develop financial software and tools used for analysis and modeling.
Academia and Research: Graduates interested in research can pursue doctoral studies (PhD) in finance or related fields and contribute to academia.
Corporate Finance Analyst: Graduates can work in corporate finance, analyzing financial data to support business decisions and capital allocation.
Financial Regulation and Compliance: Graduates may specialize in financial regulation and compliance, ensuring adherence to industry standards and regulations.
