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 5th 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 - academic year 2020/2021
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 16th to July 16th. 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

Opening date

September 2020

Vacancies

Fees

€6.000

Schedule

After Working Hours

Teaching language

Available soon

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 2020); 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
200185 Statistical Analysis 7.5
200186 Applied Multivariate Data Analysis 7.5
200159 Life & Non-Life Actuarial Techniques 7.5
200163 Experimental Design 4.0
200187 Marketing Strategy and Innovation 7.5
200160 Investments and Portfolio Management 7.5
200086 Research Methodologies 7.5
200189 Descriptive Analytics in Marketing 0.0
200088 Forecasting Methods 3.5
200101 Banking and Insurance Operations 6.0
Options
200204 Social Network Analysis 4.0
200191 Time Series Analysis 4.0
200185 Statistical Analysis 7.5
200186 Applied Multivariate Data Analysis 7.5
200159 Life & Non-Life Actuarial Techniques 7.5
200012 Business Intelligence I 7.5
200201 Data Science for Marketing 7.5
200032 DataBase Management Systems 7.5
200163 Experimental Design 4.0
200195 Information Systems Development 4.0
400082 Digital Analytics 7.5
400020 Information Systems Governance 3.5
200187 Marketing Strategy and Innovation 7.5
200056 Ciência e Sistemas de Informação Geográfica 7.5
200058 Geographic Information Systems Applications 7.5
200060 Geospatial Data Mining 7.5
200064 Geostatistics 7.5
200197 Brand Management 4.0
200070 Information Technologies Services Management 4.0
200071 Knowledge Management 7.5
200073 Information Systems Management 3.5
200193 Data Management and Storage 4.0
200160 Investments and Portfolio Management 7.5
200196 Digital Marketing & E-Commerce 7.5
200189 Descriptive Analytics in Marketing 0.0
200189 Descriptive Analytics in Marketing 0.0
200088 Forecasting Methods 3.5
200165 Descriptive Methods of Data Mining 7.5
200101 Banking and Insurance Operations 6.0
200199 Data pre-processing 3.5
200192 Data Privacy, Security and Ethics 4.0
200115 Remote Sensing 7.5
1º year - Spring semester
Code Name ECTS
200049 Market Research 7.5
200069 Risk Management 7.5
200188 Marketing Engineering and Analytics 7.5
200190 Predictive Analytics in Marketing 7.5
200090 Econometrics Methods 7.5
200097 Solvency Models 7.5
200161 Market and Credit Risk Management 7.5
200184 Sampling Theory and Methods 7.5
Options
200198 Analysis of Discrete Data 4.0
200205 Analysis of Variance 4.0
200203 Machine Learning in Marketing 7.5
200210 Architectures for Information Systems 3.5
200167 Big Data Analytics 7.5
200202 Big Data for Marketing 7.5
200013 Business Intelligence II 7.5
200014 Business Process Management 3.5
200170 Consumer Behavior Insights 7.5
400019 Customer Relationship Management Systems 7.5
200162 Data Visualization 7.5
200049 Market Research 7.5
200068 Information Project Management 4.0
200217 Information Project Management II 3.5
200069 Risk Management 7.5
200146 Innovation Management and Design Thinking 7.5
400023 Leadership and People Management 6.0
200188 Marketing Engineering and Analytics 7.5
200190 Predictive Analytics in Marketing 7.5
200090 Econometrics Methods 7.5
200166 Predictive Methods of Data Mining 7.5
200097 Solvency Models 7.5
200200 Search Engine Optimization 4.0
200161 Market and Credit Risk Management 7.5
400081 Social Media Analytics 7.5
200184 Sampling Theory and Methods 7.5
200194 Digital Transformation 3.5
2º year - Spring semester
Code Name ECTS
200045 Internship 35.0