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Doutoramento inApplied 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

Programme Details

The PhD Programme in MAEG (Applied Mathematics for Economics and Management) is designed to meet the needs of those who wish to enhance their knowledge of mathematical methods and techniques in order to make original contributions in a particular field or to develop and implement solutions for problems in the areas of economics and management.


Employment

This PhD program is intended for those who wish to pursue an academic career as well as those who wish to develop the skills required of a professional in order to devise and implement innovative quantitative approaches to real-world problems.


Programme Structure

The PhD programme takes three years to complete. The first year is devoted to coursework and includes the preparation, presentation, and viva voce defense of the thesis research project by the student before an examination panel. The next two years are dedicated to research, leading to the design, writing, and defense of an original dissertation in an area of Applied Mathematics for Economics and Management.

Please note that if any non-Portuguese speakers are enrolled in the Programme, then lectures will be taught in English.


Study Plans

Year 1 – Semester 1ProfessorCredits
Advanced Topics of Econometrics*Pierre Hoonhout10.0
Advanced Topics of Statistics*Rui Paulo10.0
Analysis and Optimisation*Manuel Castro Guerra10.0
Computational Mathematics*João Janela10.0
Elective6.0
Seminar INuno Brites4.0
Year 1 – Semester 2ProfessorCredits
Elective6.0
Preparation of the Thesis ProjectNuno Sobreira24.0
Year 2Credits
Thesis (Research Seminar)60
Year 3Credits
Thesis (Research Seminar)60
ElectivesProfessor
Actuarial Data ScienceJoão ARF Bastos
Advanced EconometricsPaulo Parente
Advanced MicroeconomicsJoana Vaz Pais
Advanced Risk TheoryAlfredo Egídio Dos Reis
Computational EconomicsTanya Araújo
Computational Tools for ActuariesNuno Brites
Financial EconometricsJoão Nicolau
Financial Markets and InvestmentsRaquel Gaspar
Interest Rate and Credit Risk ModelsRaquel Gaspar
Mathematical EconomicsJosé Pedro R Gaivão
Machine Learning and Data MiningJoão Bastos
Macroeconometrics 2Gabriel Florin Zurkis
Mathematical Methods for FinanceJoão Guerra
Panel DataIsabel Proença
Pension FundsMaria Pires Lima
Probability Theory and Stochastic ProcessesTelmo Jorge Peixe
Risk TheoryAlfredo Egídio dos Reis
Ratemaking and Experience RatingAlfredo Egídio dos Reis
Stochastic Differential Equations and ApplicationsNuno Brites
Stochastic CalculusJoão Guerra
Survival Models and Life ContingenciesOnofre Simões
Time SeriesNuno Sobreira
Time Series Analysis and ForecastingJorge Caiado

See the description of each Curricular Units here.

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

Admissions & Fees


Entry Conditions and Selection Criteria

The entry requirements are a Master’s or BSc degree (with a curriculum of four years or more) in Mathematics, Statistics, Economics, Finance, Management, Physics, or Engineering.

The degree syllabus and the grade obtained must provide evidence that the applicant has a strong background in Mathematics.

Applicants who have not yet completed their degree may be accepted conditionally if they expect to do so before the start of the programme. Applicants who do not hold any of the degrees listed above may also be eligible for admission, provided that the curriculum is deemed suitable for the programme.


Tuition Fee

1st Year2nd – 3rd Years4th – 6th Years
€ 3,000€ 2,000€ 1,000

Duration
3 to 6 years
Schedule
Evening Lectures
Start Date
September
Taught in
English
Numerus Clausus
10
Programme
Rankings
Member
Accreditation & Partnerships