176 Master's degrees in Financial Mathematics

Smith’s Master of Quantitative Finance (MQF) program from University of Maryland allows you to put your quantitative, technology and problem-solving skills to full use as you guide companies toward making strategic financial decisions. You’ll gain in-depth, specialized knowledge of financial markets, institutions and the latest analytics techniques.

The Department of Mathematics of the Ludwig-Maximilians-University (LMU) Munich offers a highly interdisciplinary master degree program in Financial and Insurance Mathematics.

This Master’s degree in Applied Economics at University of Padua provides students with a solid understanding of the fundamental tools of economic analysis that are employed by private companies, governments and non-profit organizations to thrive in the digital & green transition.

Learn how to use sophisticated mathematical and computational techniques to measure and manage risk in the financial marketplace with the Financial Mathematics program from University of Queensland.

The purpose of the Finance (CW) program from University of Johannesburg is to develop applied competence in the mastering, interpretation, reflecting on and application of principles in the broader field of finance. 

The Applied Quantitative Finance program offered at Nürtingen-Geislingen University (HfWU) trains financial experts at the interface between financial modeling, financial engineering and data analytics. With their quantitative financial knowledge, they not only understand numbers and data, but can also implement them in valuable strategies.

Do you want to make an impact as a leader in the financial industry? Then the Banking and Finance (MBF) programme at the University of St. Gallen (HSG) is the ideal programme for successfully starting your career. 

The Algebra, Geometry and Number Theory master's specialisation spans both theory and the world of algorithms and applications. The courses are directly related to our research.

The Master Programme in Financial Engineering taught at Karlsruhe Institute of Technology (KIT) provides innovative solutions of pricing, hedging, trading and portfolio management problems by employing advanced mathematical methods and computer technology. 

This Mathematical Finance MSc course from University of Warwick enables you to develop and apply the quantitative skills in machine learning, computational statistics and mathematical finance used in the financial markets and the finance industry. 

The Financial Mathematics MSc at the London School of Economics and Political Science is a 10-month, full-time public programme. It focuses on applying advanced mathematical theories to global financial markets. You will develop quantitative methodologies and computational skills essential for high-level careers in banking.

The Financial Mathematics MSc at King's College London enables graduates and professionals with a strong mathematical background to research, develop and apply quantitative and computational techniques to investment and risk management. Based in the Department of Mathematics, this course has a superb reputation for research-led teaching and strong links to industry.

The Master's programme in Financial Engineering from Mälardalen University provides you with advanced qualifications in mathematics and finance, covering a wide range of topics from the management of financial portfolios to risk analysis in financial markets. As a graduate you will be in demand for senior positions in the international world of finance.

Students of the Applied Statistics course at Louisiana State University who choose the thesis degree must write a thesis involving the extension of current statistical methodology or novel/extensive use of statistical methods in a real application. Students gain valuable experience while working closely with faculty and clients during the statistical consulting practicum courses. 

The Financial Engineering program at Stevens Institute of Technology resides in the School of Business, giving it a practical orientation that few other programs offer. 

The Master in Financial Mathematics at North Carolina State University is known for rigorous training in the core areas of probability, statistics, modeling, investment theory, stochastic processes, and economics. The depth of understanding prepares students to respond to today’s rapidly evolving, world-wide economic and financial landscape.