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
1123
Cicle
Bachelor (1st Cycle)
Degree
Licenciado
Access to other programs
Access to 2nd cycle
Coordinator
Gracinda Rita Diogo Guerreiro
Opening date
September
Vacancies
22
Fees
Portuguese students: 697 €/year
Foreign students: 7000 €/year
Schedule
Daytime
Teaching language
Available soon
Degree pre-requisites
Duration: 3 years
Credits: 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 FCT, which includes the unity of all scientific areas of NOVA FCT
Conditions of admittance
Specific exams:
19 Mathematics A
Minimum grade of the specific(s) exam(s): 120
Minimum grade of the application: 120
Admission formula:
60% from the final classification obtained in Secondary School
40% from the obtained classification at specific exam(s)
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.)
Structure
| 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 |
| Options | ||
| 12238 | Undergraduate Research Opportunities Program | 3.0 |
| 12237 | Undergraduate Practice Opportunities Program | 3.0 | O aluno deverá obter 3.0 créditos nesta opção. |