Mathematics and Applications
Education objectives
The Master''s in Mathematics and Applications combines scientific research with a diverse range of topics in Mathematics or Applied Mathematics.
Its goal is to provide a solid scientific foundation with a high level of interdisciplinarity, empowering professionals with the latest mathematical techniques used to solve problems.
The Master''s in Mathematics and Applications offers three profiles:
Profile in Data and Decision Sciences
This specialization provides solid and up-to-date training in Statistics and Operations Research.
These are essential areas of Mathematics for handling and transforming the increasing volume of data generated by technological advancements into useful information and for integrating this information into process optimization.
Profile in Computational Financial Mathematics
The Computational Financial Mathematics specialization offers the mathematical expertise used in the financial industry, such as: stochastic analysis, numerical methods, econometric methods, Monte Carlo simulation techniques, and artificial intelligence techniques. These are essential in key financial industry activities, including pricing complex financial products, portfolio selection, risk management, and hedging.
Profile in Pure Mathematics
This branch provides students with a solid scientific foundation, allowing specialization in various areas of mathematics such as algebra, analysis, algebraic geometry, differential equations, mathematical logic, among others, with the possibility for students to customize their education. Specialization in Pure Mathematics enables students to pursue research activities.
General characterization
DGES code
1125
Cicle
Master (2nd Cycle)
Degree
Mestre
Access to other programs
Access to a 3rd cycle
Coordinator
Marta Cristina Vieira Faias Mateus
Opening date
September
Vacancies
30
Fees
Portuguese students: 2000 euros / year
Foreign students: 7000 euros / year
Schedule
Daytime
Teaching language
Available soon
Degree pre-requisites
Duration: 2 years
Credits: 120 ECTS
Data and Decision Sciences
| Scientific Area | Acronym | ECTS | |
| Mandatory | Optional | ||
| Mathematics | M | 75 | 12 |
| Mathematics / Informatics / Industrial Engineering | M / I / EI | 0 | 24 |
| Transferable Skills | CC | 3 | 0 |
| Any Scientific Area | QAC | 0 | 6 a) |
| TOTAL | 78 | 42 | |
Pure Mathematics
| Área científica | Sigla | Créditos (ECTS) | |
| Obrigatórios | Optativos | ||
| Mathematics | M | 81 | 30 |
| Transferable Skills | CC | 3 | 0 |
| Any Scientific Area | QAC | 0 | 6 a) |
| TOTAL | 84 | 36 | |
Computational Financial Mathematics
| Scientific Area | Acronym | ECTS | |
| Mandatory | Optional | ||
| Mathematics | M | 102 | 0 |
| Informatics | I | 6 | 0 |
| Economics | E | 3 | 0 |
| Transferable Skills | CC | 3 | 0 |
| Any Scientific Area | QAC | 0 | 6 a) |
| TOTAL | 114 | 6 | |
(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
- Holders of a bachelor''s degree or legal equivalent in areas of Exact Sciences, Technologies, Economics, Business or Finances, with a minimum basic preparation in Mathematics;
- Holders of a foreign higher academic degree awarded following a 1st cycle of studies organized, in these areas, in accordance with the principles of the Bologna Process by a State adhering to this Process;
- Holders of a foreign higher academic degree, in these areas, that is recognized as meeting the objectives of the degree by the Scientific Council of the Faculty of Sciences and Technology;
- Holders of an academic, scientific or professional curriculum, which is recognized as attesting the ability to carry out this cycle of studies by Scientific Council of the Faculty of Sciences and Technology.
Selection criteria:
- Course classification;
- Academic and scientific curriculum;
- Professional CV;
- Possible interview
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.)