65 Financial Mathematics Degree Programs

MSc in Mathematics-Economics has taught you about how rates for a new mortgage loan should be fixed – with an interest-rate ceiling or as interest-only loans. In fact, it was mathematics–economics graduates who developed the model used for fixing the cost of such loans. All major companies face complex problems, and many turn to mathematics–economists when they do.

This program will suit anyone who is interested in mathematics and wants to apply his or her skills to problem-solving and for creating new mathematical models. It also gives you the possibility to start an academic career. In Mathematical Statistics and Financial Mathematics, you study courses in mathematics but you also train stochastic thinking and statistic skills. It contains courses in e.g. probability theory, stochastic analysis, insurance mathematics, and financial modeling.

DCU's MSc in Financial Mathematics equips you with the skills and knowledge needed for careers in quantitative finance and insurance. You'll master mathematics, finance fundamentals, pricing, hedging, portfolio optimization, risk management, data analysis, and machine learning, giving you a competitive edge in the financial sector.

The MSc in Financial Mathematics is designed to give students a solid understanding of the mathematical and statistical tools used in finance. The program covers key topics like stochastic processes, financial derivatives, risk management, and numeri…

Many employers value a mathematics qualification; your numerical, logical thinking and problem-solving skills enable you to tackle a variety of roles. To cover the range of topics that mathematics embraces, we've made our courses flexible. Keep your degree broad with a BSc or MMath in Mathematics, or specialise in an area of your choice, from financial mathematics to statistics and operational research. 

The Financial and Insurance Mathematics study program provides education concerning the theoretical and practical knowledge of financial and insurance mathematics. On a solid mathematical background, one develops mathematical modeling in insurance, banking, and other financial institutions. The graduate is capable to construct financial and insurance products and analyze them from the point of view of profit and risk. The graduates of Financial and Insurance Mathematics have education which is necessary to obtain a certificate of competence to execute the actuarial practice in the international context.

The study program provides a high-profile education in financial and actuarial mathematics, with an emphasis on the theoretical foundations of various methods and techniques in probability theory, stochastic analyses, risk theory, and related fields. Graduates of the programme are qualified to analyse and solve problems in theoretical models of finance and insurance, with the implementation of their obtained solutions in practice.

The Master in Financial Mathematics is a post-employment master's program, lasting two years and taught in Portuguese, which seeks to provide specialized training in the application of the theory of stochastic and differential calculus to concrete problems in the financial markets. This Master is taught in partnership with the Faculty of Sciences of the University of Lisbon.

The Masters in Mathematical Finance is designed to further the education in quantitative finance of students who already have a Bachelors degree in Mathematics, Statistics, Physics, Economics, Finance or Management.

The program is based on a mathematical background, which involves probability theory, stochastic processes, mathematical and computational statistics, optimization, econometrics, operational research, financial and insurance mathematics. The connected creative work is represented especially by the basic mathematical research, and partly by applications, e.g. in finance and insurance. The doctoral students enhance their knowledge in advanced courses and seminars, according to their individual study plans. Under the supervision of their advisor, they provide research work on a given topic and publish their results and present them at scientific conferences. The study branch will prepare experts who can become successors of faculty professors, others will profit from their mathematical thought in practice.

The M.S. in Mathematical Finance and Laurea Magistrale (LM) in Banking and Finance dual degree program is designed for analytical thinkers ready to excel in the global financial industry. This unique program, a collaboration between UNC Charlotte and Università Cattolica del Sacro Cuore, combines rigorous coursework in risk management, financial theory and international finance.

The M.S. in Mathematical Finance and Master’s in Finance Dual Degree program, offered by UNC Charlotte and Shanghai University of Finance and Economics (SUFE), equips students with advanced financial skills and global expertise. Students spend the first year at SUFE in Shanghai, the second year at UNC Charlotte and the third year back at SUFE in Shanghai.

The M.S. in Mathematical Finance program is designed for problem-solvers with the analytical skills to navigate today’s financial services industry. This nationally-ranked program, a joint effort of the Belk College of Business and the Klein College of Science, prepares you for a career in quantitative finance.

The M.S. in Mathematical Finance and MBA Dual Degree program at the Belk College of Business equips students with advanced skills in both quantitative finance and business leadership. This 54-credit hour program, a collaboration between the Belk College of Business and the Klein College of Science, prepares graduates for high-demand roles in financial institutions, investment banks and beyond. Students benefit from shared coursework, gaining a comprehensive education that bridges finance and business administration.

The Belk College of Business at UNC Charlotte offers a dual degree program where students can earn both an M.S. in Mathematical Finance and an M.S. in Economics. This program equips students with advanced skills in quantitative finance, risk management, econometrics and economic modeling.