BSc Hons Accounting and Management
Queen Mary University of London's BSc-Hons- Accounting and Management program ...
MSc Financial Mathematics
Mile End
INTAKE: September
Program Overview
The MSc in Financial Mathematics program at Queen Mary University offers a comprehensive curriculum that covers a wide range of topics related to finance, mathematics, and quantitative analysis.
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Quantitative Techniques: Students acquire a strong grasp of mathematical concepts, including calculus, linear algebra, and differential equations, providing the tools needed for advanced financial modeling.
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Financial Theory: The program delves into fundamental theories and concepts in finance, including portfolio theory, asset pricing, risk management, and option pricing.
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Statistical Analysis: Students learn statistical methods and techniques for analyzing financial data, enabling them to make informed decisions and predictions.
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Derivative Securities: The program explores complex financial instruments such as options, futures, and swaps, along with their pricing and applications.
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Stochastic Calculus: Students study stochastic processes and calculus, crucial for modeling uncertainty and volatility in financial markets.
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Computational Finance: The program emphasizes the use of computational methods and programming languages like Python and MATLAB to solve financial problems and simulate market scenarios.
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Risk Management: Students gain insights into risk assessment and management strategies, including value-at-risk (VaR) and stress testing.
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Time Series Analysis: The program covers techniques for analyzing time-series data, which is essential for forecasting and modeling financial trends.
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Financial Econometrics: Students explore econometric methods for analyzing economic and financial data, enhancing their ability to make data-driven decisions.
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Quantitative Portfolio Management: The program introduces students to portfolio optimization, asset allocation, and the construction of diversified investment portfolios.
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Financial Software and Tools: Students become proficient in using financial software and tools widely used in the industry for data analysis and modeling.
Location
Mile End
Score
IELTS 6.5
Tuition Fee
£ 27500
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.
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Quantitative Analyst: Graduates can work as quantitative analysts, utilizing mathematical and statistical models to analyze financial data, assess risk, and develop trading strategies.
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Risk Manager: Graduates may become risk managers, responsible for identifying and managing financial risks within organizations.
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Financial Consultant: Graduates can offer financial consulting services to clients, providing expert advice on investment strategies and risk management.
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Portfolio Manager: Graduates may pursue roles as portfolio managers, overseeing investment portfolios and making decisions to optimize returns.
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Financial Data Analyst: Graduates with strong analytical skills can work as data analysts, extracting insights from financial data to support decision-making.
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Algorithmic Trader: Graduates can become algorithmic traders, developing and implementing automated trading strategies using quantitative models.
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Investment Analyst: Graduates may work as investment analysts, conducting research and analysis to evaluate potential investment opportunities.
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Derivatives Analyst: Graduates with expertise in derivatives can specialize in analyzing and pricing complex financial instruments.
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Financial Software Developer: Graduates with programming skills can develop financial software and tools used for analysis and modeling.
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Academia and Research: Graduates interested in research can pursue doctoral studies (PhD) in finance or related fields and contribute to academia.
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Corporate Finance Analyst: Graduates can work in corporate finance, analyzing financial data to support business decisions and capital allocation.
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Financial Regulation and Compliance: Graduates may specialize in financial regulation and compliance, ensuring adherence to industry standards and regulations.
