Applied Mathematics to Risk Management

Education objectives

The course has a threefold purpose: to provide a solid core training in mathematics essential for risk assessment, to recognize the student with a degree that allows immediate integration into the job market and the knowledge needed to progress to more advanced cycles of study, such as the MSc in Mathematics and Applications, from FCT NOVA, with specializations in Actuarial Sciences, Statistics and Operational Research and also in Financial Mathematics, available to the graduates in Applied Mathematics to Risk Management.

This course differs from other academic offerings, both local and national, because of its architecture in accordance with internationally recognized requirements for professionals in risk analysis. The focus is on applied mathematics, complemented by knowledge in economics and computer science, which are understood as essential to identification, quantification, mitigation and risk management, particularly in financial institutions such as banks and insurance companies.

Career opportunities

The employability associated with courses in Mathematics and Applied Mathematics is around 100% and among the more than a thousand graduates of the Department of Mathematics at FCT NOVA, the number of unemployed is residual, attesting to our capacity to train students with recognized competence and knowledge in the business environment and at the level of public institutions.

Graduates of the Degree in Mathematics Applied to Risk Management acquire the needed skills to pursue studies at the level of the 2nd cycle and their insertion in the labor market in areas related to banking, insurance, social security, pension funds, finance and economics.

General characterization

DGES code



Bachelor (1st Cycle)



Access to other programs

Access to 2nd cycle


Rui Manuel Rodrigues Cardoso

Opening date



Available soon


Portuguese students: 697 €/year

Foreign students: 7000 €/year

(Students from CPLP countries may apply for a reduction of up to 50% of tuition fees, subject to the following conditions:

  1. 1st Registration: students must demonstrate through their academic certificates that their academic performance is in the first quartile of the evaluation scale used in the system of their country or school of origin;

  2. Subsequent enrollments (regardless of the year of entry): exclusively for academic merit, that is, approval in all UCs in which the student enrolled in the previous year, totaling 60 ECTS each year.



Teaching language

Available soon

Degree pre-requisites

Duration: 3 years
180 ECTS

Scientific Area
Acronym ECTS
Mandatory Optional
Mathematics B 156 3
Informatics CC 6 0
Social Sciences and Humanities CHS 6 0
Transferable Skills M 3 0
Any Scientific Area QAC 0 6 (a)
TOTAL 171 9

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

Conditions of admittance

Available soon

Evaluation rules

The 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.

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


1.º Semester
Code Name ECTS
10970 Linear Algebra I 6.0
11504 Mathematical Analysis I 6.0
10971 Introduction to Logic and Elementary Mathematics 9.0
3622 Introduction to Programming 6.0
12226 Computational Methods in Statistics 3.0
2.º Semester
Code Name ECTS
10973 Linear Algebra II 9.0
10476 Mathematical Analysis II B 6.0
10352 Soft Skills for Science and Technology 3.0
10974 Geometry 6.0
10975 Probability and Statistics I 6.0
3.º Semester
Code Name ECTS
10977 Algebra I 9.0
5005 Mathematical Analysis III B 6.0
10979 Numerical Analysis I 6.0
10978 Probability and Statistics II 9.0
4.º Semester
Code Name ECTS
5006 Mathematical Analysis IV B 6.0
12230 Financial Calculus 6.0
10358 Science, Technology and Society 3.0
10579 Economics 3.0
3121 Applied Statistics 6.0
10983 Linear Optimization 6.0
5.º Semester
Code Name ECTS
12232 Actuarial Statistics 6.0
3107 Introduction to Operational Research 6.0
7816 Measure Integration and Probability 6.0
12231 Multivariate Models 6.0
12233 Stochastic Processes and Applications 6.0
6.º Semester
Code Name ECTS
10982 Numerical Analysis II 6.0
12236 Financial Mathematics 6.0
12235 Statistics and Information Systems 3.0
12234 Simulation Techniques in Risk Management 6.0
6.º Semester - Opção PIIC/PIPP
Code Name ECTS
12238 Undergraduate Research Opportunities Program 3.0
12237 Undergraduate Practice Opportunities Program 3.0
O aluno deverá obter 3.0 créditos nesta opção.
6.º Semester - Unidade Curricular de Bloco Livre
Code Name ECTS
11066 Unrestricted Electives 6.0
O aluno deverá obter 6.0 créditos nesta opção.