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 Financial Econometrics program at the University of Essex provides students with a solid foundation in both financial theory and advanced econometric techniques. This program is designed for students who are interested in pursuing careers in the finance industry, particularly in roles that involve quantitative analysis and modeling.
Financial Theory: The program covers a wide range of financial topics, including asset pricing, portfolio management, derivatives, and risk management. Students gain a deep understanding of financial markets, instruments, and theories that underpin investment and financial decision-making.
Econometric Methods: The program focuses on advanced econometric techniques and methods that are commonly used in financial analysis. Students learn how to apply econometric models to analyze financial data, estimate parameters, and test hypotheses. They gain proficiency in using statistical software and programming languages for econometric analysis.
Time Series Analysis: The program emphasizes the analysis of financial time series data, which is crucial for forecasting and modeling financial markets. Students learn how to model and forecast asset returns, volatility, and other key financial variables. They also explore advanced time series techniques, such as ARCH/GARCH models and cointegration analysis.
Financial Data Analysis: The program equips students with skills in analyzing and interpreting financial data. They learn how to collect, clean, and manage financial data from various sources. Students also gain experience in analyzing large datasets and using data visualization techniques to communicate financial insights effectively.
Risk Management: The program covers the principles and techniques of financial risk management. Students learn how to measure and manage different types of financial risks, such as market risk, credit risk, and liquidity risk. They explore risk management frameworks, derivative instruments, and strategies for hedging and mitigating risks.
Financial Econometrics Projects: The program includes hands-on projects where students apply their knowledge and skills to real-world financial data. They have the opportunity to work on empirical research projects, develop financial models, and analyze financial market phenomena.
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 Financial Econometrics program have excellent career prospects in various sectors of the finance industry.
Quantitative Analysis: Graduates can pursue careers as quantitative analysts, using their advanced econometric skills to develop mathematical models, perform risk assessments, and support investment decisions. They may work in hedge funds, investment banks, or asset management firms.
Risk Management: Graduates can work in risk management roles, assessing and managing financial risks within organizations. They may be involved in developing risk models, stress testing, and implementing risk management strategies in banks, insurance companies, or regulatory bodies.
Financial Research: Graduates can work as financial researchers, conducting empirical research on financial markets, asset pricing, or risk management. They may work in academic institutions, research organizations, or think tanks.
Financial Data Analysis: Graduates can pursue careers as financial data analysts, utilizing their skills in handling and analyzing large financial datasets. They may work in data-driven roles in financial institutions, fintech companies, or data analytics firms.
Financial Modeling: Graduates can specialize in financial modeling, building mathematical models to analyze and forecast financial markets, pricing derivatives, or valuing complex financial instruments. They may work in investment banks, consulting firms, or financial technology companies.
Regulatory Compliance: Graduates can find opportunities in regulatory bodies and government agencies, ensuring compliance with financial regulations and conducting financial market analysis. They may be involved in monitoring market activities, enforcing regulatory standards, and contributing to policy development.
Further Education: Graduates can pursue further studies at the doctoral level, focusing on advanced research in financial econometrics or related fields. This can lead to careers in academia, research, or consulting.