MSc Business Analytics
The MSc Business Analytics program is a postgraduate degree that focuses on the applica...
Streatham Campus
INTAKE: September
The MSc Financial Mathematics with Professional Placement program at the University of Exeter is specifically designed to prepare students for careers in quantitative finance and risk management. The program combines mathematical theory, statistical modeling, and computational techniques to analyze and solve complex financial problems.
Quantitative Finance and Risk Management: The program covers various aspects of quantitative finance, including financial derivatives pricing, risk management, portfolio optimization, and asset allocation. Students learn to apply mathematical models and statistical techniques to analyze financial data and make informed investment and risk management decisions.
Mathematical and Statistical Methods: The program provides students with a solid foundation in mathematical and statistical methods used in financial modeling and analysis. They learn advanced mathematical techniques, including stochastic calculus and optimization, as well as statistical modeling approaches such as time series analysis and econometrics.
Computational Finance: Students gain hands-on experience in using computational tools and programming languages commonly used in finance, such as Python and MATLAB. They learn to implement numerical algorithms, simulate financial models, and develop computational solutions for pricing and risk analysis.
Industry-Relevant Skills: The program focuses on developing practical skills that are highly valued in the finance industry. Students learn to analyze financial markets, evaluate investment strategies, and assess financial risks. They also develop skills in data analysis, financial modeling, and using financial software and platforms.
Professional Placement: The program offers students the opportunity to undertake a professional placement, providing them with valuable industry experience. The placement allows students to apply their knowledge and skills in a real-world financial environment, gain insights into industry practices, and build professional networks.
Streatham Campus
IELTS 6.5
£ 26000
Postgraduate Entry Requirements:
Academic Qualifications: International students applying for postgraduate programs at the University of Exeter are typically required to have completed a bachelor's degree or equivalent with a minimum overall score of 55% or above. The specific requirements may vary depending on the chosen program and country-specific grading systems.
English Language Proficiency:
IELTS: The minimum requirement is typically an overall score of 6.5, with no less than 6.0 in each component.
TOEFL: The minimum requirement is typically a score of 90 on the internet-based test (iBT), with no less than 20 in each component.
PTE: The minimum requirement is typically a score of 62, with no less than 62 in each component.
Students must provide:
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.
The University of Exeter offers a range of scholarships and financial support options to international students. These scholarships aim to recognize academic excellence, support talented individuals, and promote diversity and inclusivity.
It is important to note that the availability and criteria for scholarships may vary from year to year.
Graduates of the MSc Financial Mathematics with Professional Placement program have excellent career prospects in various sectors of the finance industry.
Quantitative Analyst: Graduates can pursue careers as quantitative analysts, working for investment banks, hedge funds, or financial institutions. They develop mathematical models, analyze financial data, and contribute to the development of trading strategies, risk models, and investment portfolios.
Risk Manager: Graduates can work as risk managers, assessing and managing financial risks for banks, insurance companies, or consulting firms. They analyze market risks, credit risks, and operational risks, and develop risk management strategies to ensure the stability and profitability of financial institutions.
Financial Data Analyst: Graduates can specialize in financial data analysis, working for financial data providers, research firms, or investment companies. They analyze large datasets, identify trends, and generate insights to support investment decisions, risk assessments, and financial reporting.
Portfolio Manager: Graduates can pursue careers as portfolio managers, responsible for managing investment portfolios on behalf of clients or financial institutions. They analyze market trends, develop investment strategies, and make informed investment decisions to maximize returns and minimize risks.
Financial Software Developer: Graduates with strong programming and computational skills can work as financial software developers, designing and implementing software solutions for financial modeling, risk analysis, and trading platforms. They develop algorithms, optimize code, and ensure the accuracy and efficiency of financial software applications.