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 NOVA FCT, 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 NOVA FCT, 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


Gracinda Rita Diogo Guerreiro

Opening date





Portuguese students: 697 €/year

Foreign students: 7000 €/year



Teaching language

Available soon

Degree pre-requisites

Duration: 3 years
180 ECTS

Scientific Area
Acronym ECTS
Mandatory Optional
Mathematics B 153 3
Informatics CC 6 0
Social Sciences and Humanities CHS 9 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 NOVA FCTwhich includes the unity of all scientific areas of NOVA FCT

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 two 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
12899 Linear Algebra and Analytic Geometry I 6.0
11504 Mathematical Analysis I 6.0
12901 Introduction to Logic and Discrete Mathematics 6.0
12566 Introductory Programming for Science and Engineering 6.0
12926 Computational Methods in Statistics 6.0
2.º Semester
Code Name ECTS
12904 Linear Algebra and Analytic Geometry II 6.0
10476 Mathematical Analysis II B 6.0
12230 Financial Calculus 6.0
10352 Soft Skills for Science and Technology 3.0
12927 Microeconomics, Uncertainty and Information 3.0
10975 Probability and Statistics I 6.0
3.º Semester
Code Name ECTS
5005 Mathematical Analysis III B 6.0
12907 Numerical Analysis 6.0
12915 Introduction to Graph Theory 9.0
12911 Probability and Statistics II 6.0
12512 Society, Sustainability and Digital Transformation 3.0
4.º Semester
Code Name ECTS
12908 Numerical Analysis and Optimization 6.0
5006 Mathematical Analysis IV B 6.0
12909 Linear Models in Statistics 6.0
10983 Linear Optimization 6.0
12233 Stochastic Processes and Applications 6.0
5.º Semester
Code Name ECTS
12232 Actuarial Statistics 6.0
12917 Operations Research 9.0
7816 Measure Integration and Probability 6.0
12231 Multivariate Models 6.0
12928 Principles of Macroeconomics 3.0
6.º Semester
Code Name ECTS
12236 Financial Mathematics 6.0
12080 Bayesian Methods 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.