ISEG - Lisbon School of Economics & Management

Masters in Mathematical Finance

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Double Degree with University of Lorraine/France and Poznam University/Poland.

An international agreement involving three Masters in the area of Mathematical Finance - from ISEG; Université de Lorraine, Nancy, France, and; Uniwersytet Ekonomiczny w Poznaniu, Poland, which allows students to study for part of their degree at these universities;

ARPM Bootcamp

A direct connection/Partnership of the Masters in Mathematical Finance with the SYMMYS Advanced Risk and Portfolio Management Bootcamp at the University of New York http://symmys.com/arpm-bootcamp/, whereby students who participated in this Bootcamp obtain an ARPM certificate and can earn additional credits/benefits a supplement for their Masters Diploma.

The Masters in Mathematical Finance is designed to

further the education in quantitative finance of students who already have a Bachelors's degree in Mathematics, Statistics, Physics, Economics, Finance, or Management.

The increasing "high-tech" character of modern business has increased the need for advanced methods, which rely, to a large extent, on mathematical techniques which seemingly are indispensable for competitiveness in the industry. Launched in 2007/08 under the Bologna process, the Masters in Mathematical Finance has been offered every year ever since then. It was created as a developing and innovative project in Portugal, which followed the standards of European universities. A3ES accreditation in 2013 certifies the quality of the MMF's program, which combines theoretical rigor with sectorial skills, balancing cutting-edge knowledge and research with contact with financial sector practices.

Internationalization is also a part of the MMF's history and aims. In 2014/15, MMF began to be lectured in English, which means that it can now be offered to a large international target audience. The international exchange through the ERASMUS program or other international agreements is also an option.

The Masters in Mathematical Finance aims to

develop students' mathematical and computational skills, combined with financial modeling. In studying for our Masters, students are confronted with the most important technical and quantitative topics of finance, both theoretical and applied, ranging from the mathematical background to the latest trends in the financial sector.

Form quantitative analysts with a strong knowledge of analytical, statistical, and computational tools, which can be applied to financial modeling; Contribute to the education of top-level practitioners with leadership ability, who are capable of promoting innovation; Promote innovation and scientific research in Applied Mathematics and support the education of university teachers whose activity of research in the areas of Financial Mathematics are relevant for the University, in collaboration with the business world.