Applied Mathematics to Risk Management
Education objectives
To meet the growing demands of the market, this bachelor’s degree program is designed to train professionals with a solid foundation in Applied Mathematics, equipped to apply mathematical, statistical, and actuarial methodologies in areas related to Risk Management.
What sets this program apart from other academic offerings is its unique structure, which combines theory and practice in alignment with internationally recognized standards for risk analysis professionals.
Why Choose This Degree?
Faculty with extensive experience in training professionals in the field of risk, including some who hold prominent positions in leading organizations and companies
Strong relationships with companies/employers, including research projects, enabling student participation in internships and/or practical projects
High employability of our graduates in Mathematics-related fields
Career Opportunities
Risk Analyst (e.g. Insurance, Banking)
Actuary
Data Scientist (Data Analyst)
Quantitative Analyst (Quant)
Consultant
Supervision and Regulatory Specialist
Academic or REsearcheer
Other professions requiring strong quantitative and management skills.
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 euros/year
Foreign students: 7000 euros/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:
One of the following groups:
19 Mathematics A + 18 Portuguese or
19 Mathematics A + 04 Economics or
19 Mathematics A + 07 Physics and Chemistry
Admission formula:
50% of the final grade obtained in secondary school
50% of the final grade of the specific(s) exam(s)
Minimum grade of the specific(s) exam(s): 95
Minimum grade of the application: 95
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 |
| 13491 | Calculus I B | 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 |
| 12230 | Financial Calculus | 6.0 |
| 13495 | Calculus II B | 6.0 |
| 10352 | Soft Skills for Science and Technology | 3.0 |
| 12927 | Microeconomics, Uncertainty and Information | 3.0 |
| 13505 | Probability Theory and Applications | 6.0 |
| 3.º Semester | ||
|---|---|---|
| Code | Name | ECTS |
| 5005 | Mathematical Analysis III B | 6.0 |
| 12907 | Numerical Analysis | 6.0 |
| 13506 | Statistical Inference and Applications | 6.0 |
| 12928 | Principles of Macroeconomics | 3.0 |
| 13520 | Statistics and Information Systems | 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 |
| 4.º Semester - Opção I | ||
|---|---|---|
| Code | Name | ECTS |
| Options | ||
| 10361 | Operational Research (Engineering Courses) | 6.0 |
| 12080 | Bayesian Methods | 6.0 | O aluno deverá obter 6.0 créditos nesta opção. |
| 5.º Semester | ||
|---|---|---|
| Code | Name | ECTS |
| 12232 | Actuarial Statistics | 6.0 |
| 7816 | Measure Integration and Probability | 6.0 |
| 13507 | Statistical Learning Models | 6.0 |
| 12231 | Multivariate Models | 6.0 |
| 13508 | Time Series and Forecast Models | 3.0 |
| 6.º Semester | ||
|---|---|---|
| Code | Name | ECTS |
| 12236 | Financial Mathematics | 6.0 |
| 12233 | Stochastic Processes and Applications | 6.0 |
| 12234 | Simulation Techniques in Risk Management | 6.0 |
| 6.º Semester - Opção II | ||
|---|---|---|
| Code | Name | ECTS |
| Options | ||
| 12530 | Genetic Algorithms and Neural Networks | 6.0 |
| 12082 | Large Graph Analytics | 6.0 | O aluno deverá obter 6.0 créditos nesta opção. |
| 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. |