Faculdade de Ciências e Tecnologia

Applied Mathematics to Risk Management


Primeiro ciclo




Rui Manuel Rodrigues Cardoso

Opening date






Education objectives

The Bachelor Degree in Mathematics Applied to Risk Management aims, on the one hand, to respond to the frequent request, by several companies, for trainees specialized in risk analysis techniques, and on the other hand to respond to the wishes of the students who, having aptitude and enjoy Mathematics, intend to acquire skills and knowledge in more applied areas, such as Actuarial Mathematics (What is an Actuary?), Financial Mathematics, Operational Research and Statistics.

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.

The graduates acquire the 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.

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 159 21

(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

Access to other courses

Access to 2nd cycle

Evaluation rules

The following modes of evaluation are used with regard to academic qualifications:

  1. Evaluation based solely on an examination or completion of a final project.
  2. Evaluation based on work done throughout the semester excluding examination or final project. In these courses students can expect to carry out, for example, laboratory activities, mini-tests, tests, individual or group projects, seminar-related activities, any combination of which will be used to determine the final grade.
  3. Evaluation based obligatorily on an examination or a final project. In these courses there extists a form of evaluation similar to one of the aformentioned activities in paragraph 2 as well as a form of evaluation based on a final exam.
  4. Evaluation based on work done throughout the semester with the possibility of foregoing an examination or a final project.


1.º Semester
Code Name ECTS
12225 Mathematical Analysis I F 6.0
10970 Linear Algebra 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
12227 Mathematical Analysis II F 6.0
10973 Linear Algebra II 9.0
10352 Soft Skills for Science and Technology 3.0
10974 Geometry 6.0
10975 Probability and Statistics I 6.0
11066 Electives 6.0
3.º Semester
Code Name ECTS
12228 Mathematical Analysis III F 6.0
10979 Numerical Analysis I 6.0
10977 Algebra I 9.0
10978 Probability and Statistics II 9.0
4.º Semester
Code Name ECTS
12229 Mathematical Analysis IV F 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 Electives 6.0
O aluno deverá obter 6.0 créditos nesta opção.