Mathematics and Applications

Education objectives

The MSc Mathematics and Applications at NOVA FCT combines scientific research with a broad range of topics in Mathematics or Applied Mathematics. It provides a solid scientific knowledge with a high level of interdisciplinarity, training professionals with the latest mathematical techniques for problem solving.

This MSc program offers three specialization profiles: Data and Decision Sciences (DDS), Computational Financial Mathematics (CFM),  and Pure Mathematics (PM).

The profile of DDS forms mathematicians capable of understanding, framing, modeling and solving real problems of companies and organizations in the world. The interdisciplinarity as well as the intensive use of data will provide students with fundamental skills for decision-making, a constant challenge in any company.

The CFM profile provides a systematic knowledge of mathematical models and fundamental quantitative methods in the current financial industry.
In these two profiles, mathematical models and techniques are implemented using intensive computer use, either through algorithm development using languages as Python, R, Mathlab, or high-level modelling languages as GAMS or AMPL.

The PM profile provides a solid scientific background in mathematics, allowing specialization in areas such as algebra, analysis, algebraic geometry, differential equations, mathematical logic, among others.

Dissertations are possible in both, business environment or within a research group.

Career opportunities

The versatility of training in mathematics allows access to any company in the

  • Industrial Sector,

  • Public Services and Service Companies,

  • Transport and Communications,

  • Banks and Insurance,

  • Consultants and Rating Companies,

  • Health and Social Security,

  • Public Administration, and

  • Research Laboratories.

It also provides access to Teaching and Research in Higher Education.

General characterization

DGES code



Master (2nd Cycle)



Access to other programs

Access to a 3rd cycle


Marta Cristina Vieira Faias Mateus

Opening date





Portuguese students: 2000 €/1st year
                                  1000 €/2nd year

Foreign students: 7000 €/year



Teaching language

Available soon

Degree pre-requisites

Duration: 2 years

Credits: 120 ECTS

Data and Decision Sciences

Scientific Area Acronym ECTS
Mandatory Optional
Mathematics M 75 12
Mathematics / Informatics / Industrial Engineering M / I / EI 0 24
Transferable Skills CC 3 0
Any Scientific Area   QAC 0 6 a)
TOTAL 78 42

Pure Mathematics

Área científica Sigla Créditos (ECTS)
Obrigatórios Optativos
Mathematics M 81 30
Transferable Skills CC 3 0
Any Scientific Area     QAC 0 6 a)
TOTAL 84 36

Computational Financial Mathematics

Scientific Area Acronym ECTS
Mandatory Optional
Mathematics M 102 0
Informatics I 6 0
Economics E 3 0
Transferable Skills CC 3 0
Any Scientific Area   QAC 0 6 a)
TOTAL 114 6

(a) 6 ECTS in courses chosen by the student on a list approved annually by the Scientific Council of NOVA FCTwhich includes the unity of all scientific areas of NOVA FCT.

Conditions of admittance

Available soon

Evaluation rules

he evaluation of all UCs is continuous for all the components that integrate it, and it must be completed by the last day of the school term of the academic semester.

The continuous evaluation of a UC must include a minimum of three elements in the set of evaluation components, on dates adequately spaced throughout the period of classes.

All UCs with a theoretical-practical evaluation component must provide, in addition, a form of evaluation of this component by exam, to be carried out after the period of classes (Examination of Appeal).

All requirements and conditions related to the evaluation of the UC, namely the minimum weights and classifications, if any, of each component, as well as the Frequency conditions, are defined a priori and, mandatorily, published in the Discipline Form.

For each UC, combinations of three evaluation components are allowed: (i) Theoretical-practical evaluation; (ii) Laboratory or project evaluation; (iii) Summative assessment.

The final Dissertation (or Project) involves a public discussion with a Jury.

Regulamento de Avaliação de Conhecimentos (Licenciaturas, Mestrados Integrados e Mestrados.)