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 Computational Finance program at the University of Essex is designed to provide students with a deep understanding of the application of computational methods in the field of finance. It combines the disciplines of finance, mathematics, and computer science to equip students with the skills and knowledge needed to tackle complex financial problems using advanced computational techniques.
Financial Theory and Analysis: Students gain a solid foundation in financial theory, including topics such as asset pricing, portfolio management, risk management, and derivatives. They develop an understanding of the principles and concepts that underpin financial markets and instruments.
Quantitative Methods: The program emphasizes the use of quantitative methods and mathematical models in finance. Students learn how to apply statistical analysis, optimization techniques, and numerical methods to analyze financial data, price derivatives, and assess investment strategies.
Programming and Computational Tools: Students acquire programming skills in languages such as Python, R, and MATLAB, which are widely used in the finance industry. They learn to implement computational algorithms and develop financial models to solve complex financial problems.
Financial Data Analysis: Students learn how to collect, clean, and analyze financial data from various sources. They explore techniques for data visualization, exploratory data analysis, and data-driven decision-making. The program also covers topics such as time series analysis and machine learning in finance.
Risk Management and Financial Engineering: Students study the principles of risk management and financial engineering, including the use of derivatives for hedging and risk mitigation. They learn to model and measure financial risk, implement risk management strategies, and design structured financial products.
Financial Technology (FinTech): The program introduces students to the emerging field of financial technology. They explore topics such as blockchain, cryptocurrency, robo-advisory, and algorithmic trading. Students gain insights into how technology is transforming the financial industry and develop the skills needed to leverage FinTech innovations.
Colchester Campus
IELTS 6.5
£ 20350
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 Computational Finance program have excellent career prospects in various sectors of the finance industry.
Quantitative Analyst: Graduates can work as quantitative analysts, using advanced mathematical and computational models to develop pricing models, risk management tools, and investment strategies. They may work for investment banks, hedge funds, or asset management firms.
Financial Data Analyst: Graduates can pursue roles as financial data analysts, collecting, analyzing, and interpreting financial data to support decision-making and financial modeling. They may work for financial institutions, consulting firms, or data analytics companies.
Risk Manager: Graduates can work as risk managers, assessing and managing financial risks within organizations. They develop risk management frameworks, conduct risk assessments, and implement risk mitigation strategies. They may work for banks, insurance companies, or regulatory bodies.
Financial Technology Specialist: Graduates can specialize in the field of financial technology, working on projects related to blockchain, algorithmic trading, or automated investment advisory. They may work for FinTech startups, financial institutions, or technology companies.
Investment Analyst: Graduates can pursue careers as investment analysts, conducting research, and analysis to support investment decisions. They evaluate investment opportunities, assess the performance of investment portfolios, and provide recommendations to clients or investment firms.
Financial Consultant: Graduates can work as financial consultants, providing advisory services to clients on various financial matters. They may specialize in areas such as risk management, financial modeling, or investment strategies.
Academic and Research Roles: Graduates can choose to pursue further academic studies or research positions, contributing to the advancement of knowledge in the field of computational finance.