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Doutoramento emApplied Mathematics for Economics and Management

This programme prepares students to carry out research work worthy of publication in scientific journals with a peer-review system. It aims to develop the skills needed to devise and implement new mathematical methods that could be used to tackle problems in the areas of economics and management.

The teaching and research team of the Programme (a) covers a wide range of fields, including, Actuarial Sciences, Dynamical Systems, Financial Econometrics, Macro-and Micro-econometrics, Mathematical Analysis, Mathematical Finance, Operational Research, Statistics, and Time Series.

On completion of the degree, the graduates are expected to:

  • to be able to carry out research work worthy of publication in scientific journals with peer-review system;
  • to be able to present the output of their research work in academic and professional environments.

The Programme is associated with two research centres as hosts units:

  • CEMAPRE – Applied Mathematics for Forecasting and Economic Decision
  • UECE – Research Unit on Complexity and Economics

Acreditação
Duration
3 to 6 years
Schedule
Evening Lectures
Start Date
September
Taught in
English
Numerus Clausus
10
Programme

Funding Opportunities

PhD Scholarships

Applicants for the School’s PhDs can apply for a variety of scholarships, namely FCT scholarships (granted by FCT or by ISEG research centres) and, in some cases, ULisboa scholarships. The criteria, rules and regulations for applying for scholarships are detailed on our website.

Research Centres

In some cases, PhD students can be enrolled in projects hosted by the research centres or be supported by them. For further information, contact the PhD coordinator.

If you want to know more about this PhD programme, let us help you:

I believe Quantitative methods, and in particular Operational Research, can provide extremely valuable management decision systems for any organization. Pursuing a new direction in my professional career I decided to return to ISEG and enrol in the MAEG PhD programme looking to enrich and develop my skills in that scientific field. My objective was fully met. From the excellence lecturing faculty, supervisors, teaching and research resources through the material and administrative supporting conditions, the MAEG PhD ISEG programme delivered everything I was expecting. I strongly recommend it to anyone interested.
Carlos Martins
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