Actuarial Mathematics
Education objectives
The Actuarial Mathematics Master aims to train specialists in the habitual domains of an Actuary professional: mathematics, statistics, finance, computing science. The degree will provide a strong grounding in risk management, pricing techniques, solvency models, provisions, among others. The established programme complies with the International Actuarial Association (IAA) and the Actuarial Association of Europe (AAE) Syllabus, and perspectives the international accreditation.
The Master is designed for students with a degree in Mathematics, Science, Technologies, Engineering, Economics, Management or Accounting, with a strong appeal for Applied Mathematics.
Career opportunities
The Actuarial Mathematics Master ensures the education of risk managers specialists: Actuarial specialists. These specialists are in demand by a wide range of organizations that address risk management, such as insurance companies, banks, investment management companies, consulting companies, pension fund management societies, governments, etc. Therefore, the search for these professionals doesn’t restrain to the national labor market. Student
General characterization
DGES code
1046
Cicle
Master (2nd Cycle)
Degree
Mestre
Access to other programs
Access to a 3rd cycle
Coordinator
Maria de Lourdes Belchior Afonso
Opening date
September
Vacancies
25
Fees
Portuguese students: 2000 €/year
Foreign students: 7000 €/year
Schedule
Daytime
Teaching language
Available soon
Degree pre-requisites
Duration: 2 years
Credits: 120 ECTS
Scientific Area |
Acronym | ECTS | |
Mandatory | Optional | ||
Matemática | M | 69 | 30 |
Informática | I | 12 | 0 |
Competências Complementares | CC | 3 | 0 |
Qualquer Área Científica | QAC | 0 | 6 a) |
TOTAL | 84 | 36 |
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
Admission rules:
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Holders of a Bachelor´s degree of the 1st cycle, or equivalent, containing 120 credits in the Mathematics and Statistics fields;
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Candidates with training at the 1st cycle level of studies with training in Exact Sciences, Technologies, Engineering or Economics, Management and Accounting with a strong appetite for Applied Mathematics;
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Holders of a foreign degree, or equivalent, in the same scientific area conferred following the 1st cycle of studies according to the Bologna Process;
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Holders of a foreign academic degree in required area recognized as meeting the objectives of the Bachelor´s degree by the Scientific Council of the NOVA FCT.
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Holders of an academic, scientific or professional curriculum that is recognized as attesting the capacity to accomplish referred cycle of studies by the Scientific Council of the NOVA FCT;
Ranking:
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Course classification;
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Academic and scientific curriculum;
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Professional curriculum;
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Possible interview;
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Possible Test of Admission.
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 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.
The final Dissertation (or Project) involves a public discussion with a Jury.
Regulamento de Avaliação de Conhecimentos (Licenciaturas, Mestrados Integrados e Mestrados.)
Structure
1.º Semester | ||
---|---|---|
Code | Name | ECTS |
12454 | Life Contingencies I | 6.0 |
12456 | Stochastic Processes and Modeling | 6.0 |
12529 | Advanced Programming for Data Science and Engineering | 6.0 |
12457 | Non-Life Insurance Pricing | 6.0 |
12455 | Risk Theory I | 6.0 |
2.º Semester | ||
---|---|---|
Code | Name | ECTS |
12458 | Advanced Life Contingencies | 6.0 |
10380 | Entrepreneurship | 3.0 |
12461 | Actuarial Risk Management | 3.0 |
12460 | Claims Reserving | 6.0 |
12459 | Risk Theory II | 6.0 |
2.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. |
3.º Semester | ||
---|---|---|
Code | Name | ECTS |
12468 | Pension Funds and Social Security | 6.0 |
12462 | Solvency Models | 6.0 |
12463 | Health and Long Term Care Insurance | 6.0 |
12078 | Systems for Big Data Processing | 6.0 |
12464 | Investments Theory | 6.0 |
4.º Semester - Opção Avançada de Formação | ||
---|---|---|
Code | Name | ECTS |
Options | ||
12467 | Dissertation in Actuarial Mathematics | 30.0 |
12465 | Internship with Report | 30.0 |
12466 | Project | 30.0 | O aluno deverá obter 30.0 créditos nesta opção. |