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
1020
Cicle
Bachelor (1^{st} Cycle)
Degree
Licenciado
Access to other programs
Access to 2nd cycle
Coordinator
Rui Manuel Rodrigues Cardoso
Opening date
September
Vacancies
Available soon
Fees
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.
Schedule
Daytime
Teaching language
Available soon
Degree prerequisites
Duration: 3 years
Credits: 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 / UNL, which 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 theoreticalpractical 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) Theoreticalpractical evaluation; (ii) Laboratory or project evaluation; (iii) Summative assessment.
Regulamento de Avaliação de Conhecimentos (Licenciaturas, Mestrados Integrados e Mestrados.)
Structure
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 
Options  
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 
Options  
11066  Unrestricted Electives  6.0 
O aluno deverá obter 6.0 créditos nesta opção. 