MBM Master of Business Management
The MBM program at the University of Essex is designed to develop well-rounded business...
Colchester Campus
INTAKE: October
The MSc Mathematics and Finance program at the University of Essex combines advanced mathematical techniques with practical applications in finance.
Mathematical Foundations: The program builds a strong foundation in mathematical techniques relevant to finance. Students study advanced topics in calculus, linear algebra, probability theory, and statistical methods. They gain proficiency in mathematical modeling, optimization, and numerical analysis, which are essential for quantitative finance.
Financial Theory and Practice: The program introduces students to the theories and concepts of finance. They explore topics such as financial markets, asset pricing, portfolio management, risk management, and derivative securities. Students learn how to apply mathematical tools and models to analyze financial data and make informed investment decisions.
Quantitative Finance: The program emphasizes the application of mathematical techniques to solve financial problems. Students learn about quantitative methods in finance, including stochastic calculus, time series analysis, and risk modeling. They develop skills in financial econometrics and computational finance, enabling them to develop and implement quantitative models for pricing and risk management.
Financial Software and Programming: The program familiarizes students with financial software and programming languages commonly used in the industry. They gain practical experience in using tools such as MATLAB, R, and Python for financial data analysis, modeling, and simulation. These skills enhance their ability to work with large datasets and perform complex financial calculations.
Risk Management and Financial Regulation: The program covers the principles and practices of risk management in financial institutions. Students learn about financial regulations, compliance, and ethical considerations in the finance industry. They develop an understanding of the role of risk assessment, mitigation strategies, and regulatory frameworks in maintaining financial stability.
Industry Collaboration and Guest Lectures: The program facilitates industry collaboration through guest lectures, workshops, and industry projects. Students have opportunities to learn from finance professionals, gain insights into real-world financial challenges, and build valuable networks within the finance industry.
Colchester Campus
IELTS 6.5
£ 19740
Postgraduate Entry Requirements:
Students must provide:
Work experience: Some postgraduate courses may require relevant work experience in the field.
It is important to note that entry requirements may vary across different programs and courses. Additionally, meeting the minimum entry requirements does not guarantee admission, as the university considers factors such as the number of available places and competition for certain courses.
The University of Essex offers a range of scholarships and financial support options to assist students in their academic journey. These scholarships are designed to recognize and reward academic excellence, promote diversity and inclusion, and provide assistance to those facing financial challenges.
It is important to note that scholarship availability, eligibility criteria, and application processes may change over time.
Graduates of the MSc Mathematics and Finance program have diverse career prospects in the finance sector.
Quantitative Analyst: Graduates can work as quantitative analysts in investment banks, hedge funds, and financial institutions. They develop mathematical models and algorithms to analyze market trends, price financial instruments, and manage investment portfolios.
Risk Analyst/Manager: Graduates can pursue careers in risk management, assessing and mitigating financial risks in banks, insurance companies, and consulting firms. They analyze market risks, credit risks, and operational risks, and develop risk management strategies.
Financial Data Analyst: Graduates can work as financial data analysts, using statistical techniques and mathematical models to analyze large financial datasets. They extract insights, identify patterns, and support decision-making processes in finance.
Financial Consultant: Graduates can provide consultancy services to financial institutions, offering expertise in mathematical modeling, risk assessment, and investment strategies. They help clients optimize their financial operations and make informed financial decisions.
Quantitative Developer: Graduates can work as quantitative developers, building software applications and systems for financial modeling, trading, and risk management. They collaborate with quantitative analysts and traders to develop and implement financial models and algorithms.
Research and Academia: Graduates can pursue research opportunities or academic careers in universities and research institutions. They can contribute to the development of financial theories, models, and mathematical methods through advanced research and teaching.