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.

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.

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 Finance is a two-year program that offers students the choice between three specializations: Actuarial Science, Financial Economics and Financial Mathematics.

Interested in learning more about the financial market and some of the mathematical techniques which are applied, in particular stochastic modelling?  In our MSc in Financial Mathematics programme, you will focus on the tools that allow you to develop pricing models, and learn about different financial securities and how they are used in risk management or asset management.

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.

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 progress of all master's candidates is monitored biannually by the supervisor and the postgraduate coordinator. A candidate's study may be terminated if the progress is unsatisfactory or if the candidate is unable to finish his/her studies during the prescribed period.

Understanding and navigating today’s rapidly evolving, worldwide economic, and financial landscape is one of society’s most challenging current problems. This master’s program in Financial Mathematics provides you with a distinct opportunity to collect knowledge from across the university from its top-notch business school, economics department, and programs across the Whiting School of Engineering. Guided by distinguished faculty, you will explore probability, statistics, optimization, partial differential equations, and scientific computing.

Understand the main aspects of quantitative finance – including general finance theory, finance models and programming for graduates with a science, engineering and mathematics background. Our course builds on Sussex’s strong foundation of interdisciplinary research. You’ll be taught by experts from both the Department of Mathematics and the University of Sussex Business School. The course also draws on expertise from industry professionals, so you’ll gain the knowledge and skills to succeed in the fast-paced world of finance.

This distance learning programme builds on the strength and success of the campus-based taught MSc in Mathematical Finance at the University of York. The online MSc was launched in September 2009 to run alongside the campus-based programme.

Financial Mathematics is the branch of applied mathematics concerned with the financial markets. It overlaps heavily with the fields of financial engineering and computational finance. Arguably, all three terms are synonymous. The subject naturally has a close relationship with the discipline of financial economics, but financial mathematics is narrower in scope and more abstract.

This master's program provides advanced analytical skills training, quantitative knowledge, and practical skills required by modern financial institutions to teach students solid financial analysis, risk management, and financial engineering knowledge, enabling students to work in industries such as finance and banking. The program focuses on advanced mathematics and programming courses and their design and application in mathematical finance and quantitative finance.

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.