Program Overview

PhD Programme in Applied Mathematics for Economics and Management

The PhD Programme in 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.

Programme Overview

This PhD prepares students to carry 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.

Employment Opportunities

This Programme 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.

Programme Structure

This PhD takes a minimum of three years to complete. The first year consists of coursework, seminars, and preparation, presentation, and viva voce defence 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.

Study Plans

The study plan includes the following courses:

• Year 1 – Semester 1:
  • Advanced Topics in Econometrics
  • Advanced Topics in Operations Research
  • Advanced Topics in Statistics
  • Analysis and Computation
  • Elective
  • Seminar I
• Year 1 – Semester 2:
  • Elective
  • Preparation of the Thesis Project
• Year 2:
  • Thesis Research
• Year 3:
  • Thesis Research
• Electives:
  • Econometric Methods for Finance
  • Bayesian Econometrics
  • Stochastic Differential Equations and Applications
  • Integer Programming and Combinatorial Optimization
  • Computational Tools for Actuaries
  • Decision Making and Optimization
  • Mathematical Economics
  • Applied Macroeconometrics
  • Mathematical Methods in Finance
  • Pension Funds
  • Probability and Stochastic Processes
  • Stochastic Finance in Continuous Time
  • Programming Techniques
  • Stochastic Calculus
  • Financial Time Series
  • Machine Learning and Data Mining
  • Computational Mathematics
  • Programming for Data Science
  • Risk Theory
  • Survival Models and Life Contingencies
  • Time Series

Admission 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.

Tuition Fees

The tuition fees are as follows:

• Students from within the European Union: €3,500 (1st year), €2,000 (following years)
• Students from outside the European Union: €4,000 (1st year), €3,000 (following years)

Accreditation

The programme is accredited by the Agência de Avaliação e Acreditação do Ensino Superior (A3ES) for a period of 6 years, with the accreditation process initiated on 01/04/2022.

Duration and Schedule

The programme has a duration of 3 to 6 years, with evening lectures, and starts in September. The programme is taught in English, and the numerus clausus is 10. The coordination of the programme is led by Manuel Guerra, Cristina Requejo, and Paulo Parente.