This PhD prepares students to carry out research worthy of publication in scientific journals with a strong peer-review system. It aims to develop the skills to devise and implement new mathematical tools and models with applications in the fields of Economics, Management, and Finance.
The teaching and research team of the Programme covers a wide range of fields, including, Actuarial Science, Dynamical Systems, Econometrics, Mathematical Analysis, Mathematical Finance, Operations Research, Probability and Stochastic Processes, and Statistics and Time Series. On completion of the degree, the graduates are expected to:
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.
The FCT awards scholarships to doctoral students, allowing them to devote themselves to research in all areas of knowledge. More information at www.fct.pt.
In some cases, PhD students can be enrolled in projects hosted by the research centers or supported by them. For further information, contact the PhD coordinator.
The PhD Program in MAEG (Applied Mathematics for Economics and Management) is designed to meet the needs of those who wish to acquire advanced knowledge in branches of Mathematics with applications to Economics or Management, or wish to develop the skills necessary for the design and implementation of mathematical methods and techniques to solve problems in Economics, Management, or Finance.
This Program is designed for students who wish to follow an academic or research career, as well as students wishing to pursue a specialist career in industry or regulators, namely in the sectors of Banking, Finance, Insurance, or any other economic activity requiring the use of advanced mathematical models and methods.
This PhD takes a minimum of three years to complete. The first year consists of coursework, seminars, and preparation, presentation, and viva voce defense of a thesis research project. The remaining time of the Programme is dedicated to research, which culminates in the elaboration and defence of an original research thesis.
The Programme's teaching and working language is English.
Please note that if any non-Portuguese speakers are enrolled in the Program, then lectures will be taught in English.
| Year 1 – Semester 1 | Professor | Credits |
|---|---|---|
| Advanced Topics in Econometrics* | Paulo Parente | 10.0 |
| Advanced Topics in Operations Research* | Cristina Requejo | 10.0 |
| Advanced Topics in Statistics* | Rui Paulo Manuel Guerra | 10.0 |
| Analysis and Computation* | João Janela | 10.0 |
| elective | – | 6.0 |
| Seminar I | Cristina Requejo | 4.0 |
*The Scientific Committee of the PhD chooses two out of these four course units for each student
| Year 1 – Semester 2 | Professor | Credits |
|---|---|---|
| elective | – | 6.0 |
| Preparation of the Thesis Project | Paulo Parente | 24.0 |
| Year 2 | Credits |
|---|---|
| Thesis Research Seminar | 60 |
| Year 3 | Credits |
|---|---|
| Thesis Research | 60 |
| electives | Professor | Credits | semester |
|---|---|---|---|
| Actuarial Data Science | João Nicolau | 6 | 1 or 2 |
| Bayesian Econometrics | Rui Paulo | ||
| Advanced Microeconomics | Joana Vaz Pais | ||
| Advanced Risk Theory | Alfredo Egidio Dos Reis | ||
| Computational Economics | Tanya Araujo | ||
| Computational Tools for Actuaries | Nuno Brites | ||
| Financial Econometrics | João Nicolau | ||
| Financial Markets and Investments | Raquel Gaspar | ||
| Interest Rate and Credit Risk Models | Raquel Gaspar | ||
| Mathematical Economics | Jose Pedro R Gaivao | ||
| Machine Learning and Data Mining | João Bastos | ||
| Macroeconometrics 2 | Gabriel Florin Zurkis | ||
| Mathematical Methods for Finance | João Guerra | ||
| Panel Data | Isabel Proença | ||
| Pension Funds | Maria Pires Lima | ||
| Probability Theory and Stochastic Processes | Telmo Jorge Peixe | ||
| Risk Theory | Alfredo Egidio dos Reis | ||
| Ratemaking and Experience Rating | Alfredo Egidio dos Reis | ||
| Stochastic Differential Equations and Applications | Nuno Brites | ||
| Stochastic Calculus | João Guerra | ||
| Survival Models and Life Contingencies | Onofre Simões | ||
| Time Series | Nuno Sobreira | ||
| Time Series Analysis and Forecasting | Jorge Caiado |
See the description of each Curricular Units here.
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.
These are provisional tuition fees for 2026/27, subject to confirmation by the University of Lisbon statutory bodies.
| Students from | 1st Year | Folowing years |
| Within the European Union | € 3,500 | € 2,000 |
| Outside the European Union | € 4,000 | € 3,000 |
