MSc Business & Management (MBM)
The MSc Business & Management program at the University of Strathclyde is designed ...
Glasgow - UK
INTAKE: September
The MSc Quantitative Finance program at the University of Strathclyde is designed to equip students with advanced quantitative and analytical skills essential for careers in the finance industry. This program focuses on the application of mathematical and statistical techniques to solve complex financial problems and make informed investment decisions.
Rigorous Curriculum: The program offers a rigorous curriculum that combines core finance courses with specialized quantitative modules. Students study topics such as financial modeling, risk management, derivatives pricing, computational finance, and time series analysis. They gain expertise in using statistical software and programming languages for financial analysis.
Quantitative Techniques: The program emphasizes the development of quantitative skills through courses in mathematical finance, stochastic calculus, optimization methods, and econometrics. Students learn to apply these techniques to solve financial problems, develop trading strategies, and assess investment risk.
Industry-Relevant Software: The program provides hands-on experience with industry-standard software and tools used in quantitative finance. Students gain proficiency in programming languages like Python, R, and MATLAB, as well as financial software packages like Bloomberg and Thomson Reuters Eikon. These skills are highly valued by employers in the finance industry.
Real-World Applications: The program incorporates real-world applications and case studies, enabling students to bridge the gap between theory and practice. They work on practical projects that involve analyzing financial data, building financial models, and developing trading strategies. This practical exposure enhances their problem-solving abilities and prepares them for real-world challenges.
Industry Connections and Guest Lectures: The University of Strathclyde maintains strong links with the finance industry, inviting guest speakers from leading financial institutions to share their insights and experiences. Students benefit from these industry connections, gaining valuable perspectives on current trends, challenges, and best practices in quantitative finance.
Glasgow - UK
IELTS 6.5
£ 27000
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 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 Strathclyde offers a range of scholarships and financial aid options to support students in their academic journey. These scholarships are designed to recognize excellence, provide access to education, and support students in pursuing their goals.
Graduates of the MSc Quantitative Finance program from the University of Strathclyde have excellent career prospects in various sectors.
Quantitative Research: Graduates can pursue careers in quantitative research, working for investment banks, hedge funds, or asset management firms. They may develop quantitative models and trading strategies, conduct data analysis, and contribute to the development of risk management frameworks.
Risk Management: Graduates can join risk management departments of financial institutions, where they assess and manage market risk, credit risk, and operational risk. They may be responsible for developing risk models, stress testing, and implementing risk mitigation strategies.
Financial Engineering: Graduates can work in financial engineering roles, designing and pricing complex financial instruments. They may be involved in developing structured products, derivatives pricing models, or risk management solutions.
Data Analysis and Financial Technology: Graduates can pursue careers in data analysis or financial technology (FinTech) companies, leveraging their quantitative skills to analyze large datasets, develop algorithmic trading strategies, or build automated trading systems.
Investment Management: Graduates can work as quantitative analysts or portfolio managers in investment management firms, using quantitative techniques to make investment decisions, optimize portfolios, and generate alpha. They may also be involved in developing asset allocation strategies and conducting performance analysis.