Applied Mathematics to Risk Management
Cycle
Primeiro ciclo
Degree
Licenciado
Coordinator
Rui Manuel Rodrigues Cardoso
Opening date
September
Vacancies
20
Schedule
Daytime
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
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 | 159 | 21 |
(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
Access to other courses
Access to 2nd cycle
Evaluation rules
The following modes of evaluation are used with regard to academic qualifications:
- Evaluation based solely on an examination or completion of a final project.
- 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.
- 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.
- Evaluation based on work done throughout the semester with the possibility of foregoing an examination or a final project.
Structure
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 |
Options | ||
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 |
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 | Electives | 6.0 |
O aluno deverá obter 6.0 créditos nesta opção. |