Specialization in Risk Analysis and Management
Education objectives
The Master Program in Statistics and Information Management, with a specialization in Risk Analysis and Management, is ranked as the best Master degree Program in Insurance, Risk and Actuarial Sciences in Portugal, the 3rd best in Europe and the 2nd best in the World by Eduniversal, international agency that publishes an annual ranking of the best MBA and Master degree programs in the world.
The program aims to train technical or management staff of financial institutions or of a different nature, enabling them to make decisions, according to the capital requirements established by Solvency II and Basel III.
It is aimed at managers of financial and non-financial companies as well as other professionals with duties of risk management in organizations. It is especially for financial analysts, financial controllers, auditors, chartered accountants, among others.
The main goal of this program is to train techical staff and managers to:
- Become familiar with operations and products that are part of the activity of financial institutions;
- Identify and quantify risks associated with financial institutions;
- Manage various current risks in institutions;
- Take decisions based on quantifying techniques of economic value;
- Manage the new European solvency systems for banking and insurance in a balanced way.
Applications - 3rd call
To complete the application, the applicant must register in NOVA IMS' Applications Portal, fill the form, upload their Curriculum Vitae, pay the application fee (€ 51), and submit the application in the end from June 21st until July 21st, 2022. The selection process is based on the analysis of the applicant's academic and professional curriculum.
General characterization
DGES code
42812
Cicle
Specialization Area
Degree
Master
Access to other programs
Access to Doctoral Program.
Coordinator
Jorge Miguel Ventura Bravo
Opening date
September 2022
Vacancies
Fees
€6.000
Schedule
After Working Hours
Teaching language
English
Degree pre-requisites
For the conclusion of the curricular component, it is necessary to obtain a minimum of 60 ECTS (credit units). The curricular component of the program includes two semesters, that corresponds to a postgraduate program diploma.
To earn the Master degree program in Statistics and Information Management, with a specialization in Risk Analysis and Management, the student must develop a scholarly thesis, work project or a professional internship, carried out in the third semester.
This path is an option of
Master in Statistics and Information Management
Conditions of admittance
The requirements for the applications are: a degree in a compatible field (complete until September); analysis of the applicants' academic and professional curriculum.
Evaluation rules
The evaluation of each discipline is usually carried through a final exam. This evaluation may be complemented with a project developed individually or in group. A minimum classification of 10 values is demanded so that the discipline is concluded successfully.
Structure
1º year - Autumn semester | ||
---|---|---|
Code | Name | ECTS |
200191 | Time Series Analysis | 4.0 |
200185 | Statistical Analysis | 7.5 |
200307 | Non-Life Actuary | 3.5 |
200306 | Life Actuary | 4.0 |
200304 | Banking and Insurance Economics | 3.5 |
200160 | Investments and Portfolio Management | 7.5 |
200088 | Forecasting Methods | 3.5 |
200090 | Econometrics Methods | 7.5 |
200305 | Predictive Analytics in Finance | 4.0 |
1º year - Spring semester | ||
---|---|---|
Code | Name | ECTS |
200186 | Applied Multivariate Data Analysis | 7.5 |
200308 | Financial Derivatives and Risk Management | 7.5 |
200311 | Credit Risk Management | 3.5 |
200310 | Market and Liquidity Risk Management | 4.0 |
200309 | Insurance and Banking Regulation and Supervision | 7.5 |
200184 | Sampling Theory and Methods | 7.5 |
2º year - Autumn semester | ||
---|---|---|
Code | Name | ECTS |
200288 | Dissertation/ Work Project/ Interneship Report | 30.0 |
200265 | Dissertation/Internship Report/Project | 30.0 |
200287 | Research Methods | 5.0 |