Master's degree in Quantitative Methods in Finance
General Objectives of the CourseThe complexity of current financial markets requires advanced quantitative techniques where Mathematics plays a key role. Financial institutions hire more and more professionals with high skills in Financial Mathematics and Statistics, and who can respond to various quantitative challenges related to data processing, new financial products and the prediction of the evolution of market variables, for example.
The Master’s in Quantitative Methods in Finance seeks to answer the growing demand for such skills.
a) Holders of the Bachelor’s degree or legal equivalent;
b) Holders of a foreign academic degree after completing 1st cycle of studies organized according
to the principles of the Bologna Process by a State joined to this process,
c) Holders of a foreign academic degree that is recognized as meeting the objectives of the Bachelor’s degree by the Scientific Council of the Faculty of Science and Technology;
d) Holders of an academic, scientific or professional curriculum that is recognized by Scientific Council of Faculty of Science and Technology to attest the capacity to complete this cycle of studies.
Candidates should check the admission requirements available on this site, in addition to the information provided here.
Professional GoalsThe interdisciplinary nature of this Master’s degree provides both theoretical and practical skills in Mathematics, Economics and Finance to meet the different perspectives of interpretation, analysis and decision making that can occur in Financial Markets. Thus, this degree trains:
• Quantitative Analysts with solid knowledge in the aforementioned areas and that are able to work in the finance departments of investment banks, consulting and audit firms, investment funds and pensions enterprises, stock exchanges and insurance companies;
• Researchers with the potential to innovate and create mathematical problems related to economy and finance.
The Master has the support of researchers or R&D departments of the following institutions: Bloomberg, Goldman Sachs, Millennium BCP and Montepio Geral.
Mode of StudyFull or part time attendance, classroom-based for continuous assessment, daytime schedule.
Teaching / Evaluation language(s)Portuguese
Examination Regulations, Assessment and GradingAs assessment is a pedagogical activity inseparable from the teaching process, its aim is to establish the students' competencies and knowledge, their critical sense, ability to recognize and resolve problems, as well as their written and oral presentation skills. Students may only register for exams for classes they are currently registered for under the terms of number 6 of article 4 of the University of Coimbra Pedagogical Policy. The following are examples of assessment items: Oral or written exams, written or practical work, individual and group projects that may require an oral defense, as well as class participation. Assessment for each class may include one or more of the above mentioned items. Grading is based on a scale of 0 to 20 and a grade of 10 is required to pass. Whenever assessment includes more than one item, the final grade is calculated by taking into account the relative weight of each item according to a formula published in the course outline under the terms of number 2 of article 7 of the UC Pedagogical Policy.
Learning Objectives and Intended SkillsIt intends to provide essential knowledge in Mathematics for tasks such as definition of prices of financial derivatives, risk management, treatment of financial series and portfolio selection. It also intends to adequately combine these skills with the study of the mechanics of financial markets and derivatives and derivatives markets. It emphasizes the role of stochastic calculus and differential equations in the prices to hedging products and in the development of models of temporal structure, such as the optimization of efficient portfolio management. On the other hand, it focuses on probabilities and stochastic processes relevant to risk management, analysis of financial series and prediction of market behavior.
Ana Margarida Machado Monteiro
José Luís Esteves dos Santos
Recognition of Prior LearningPrevious learning is analyzed and eventually recognized by equivalences.
Qualification Requirements and RegulationsThe legal framework for the qualification is established by the Decree-Law no. 74/2006, March 24th , amended and republished by the Decree-Law no. 107/2008, June 25th, and the Ordinance no. 782/2009, July 23rd.
Preparation and public defense of a dissertation.
Access to Further StudiesIn addition to the goals mentioned before, this degree also promotes the development of the skills to start scientific research, namely PhD studies.
2nd Cycle Studies - Lifelong Learning Master Programme
DGES Code: 6732
Qualification Awarded: Mestre
Duration: 3 Semester(s)
ECTS Credits: 90.0
Category: Lifelong training second cycle
Call for Applications
- 1st Semester
Start date: 16-09-2019
End date: 21-12-2019
- 2nd Semester
Start date: 10-02-2020
End date: 30-05-2020
- 2016-07-28 a 2022-07-27