Applied Mathematics to Risk Management
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 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.
Bachelor (1st Cycle)
Access to other programs
Access to 2nd cycle
Rui Manuel Rodrigues Cardoso
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:
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;
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.
Duration: 3 years
Credits: 180 ECTS
|Social Sciences and Humanities||CHS||6||0|
|Any Scientific Area||QAC||0||6 (a)|
(a) 6 ECTS in courses chosen by the student on a list approved annually by the Scientific Council of FCT / UNL, which includes the unity of all scientific areas of FCT / UNL
Conditions of admittance
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.
|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|
|10973||Linear Algebra II||9.0|
|10476||Mathematical Analysis II B||6.0|
|10352||Soft Skills for Science and Technology||3.0|
|10975||Probability and Statistics I||6.0|
|5005||Mathematical Analysis III B||6.0|
|10979||Numerical Analysis I||6.0|
|10978||Probability and Statistics II||9.0|
|5006||Mathematical Analysis IV B||6.0|
|10358||Science, Technology and Society||3.0|
|3107||Introduction to Operational Research||6.0|
|7816||Measure Integration and Probability||6.0|
|12233||Stochastic Processes and Applications||6.0|
|10982||Numerical Analysis II||6.0|
|12235||Statistics and Information Systems||3.0|
|12234||Simulation Techniques in Risk Management||6.0|
|6.º Semester - Opção PIIC/PIPP|
|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|
|11066||Unrestricted Electives||6.0||O aluno deverá obter 6.0 créditos nesta opção.|