PostGraduate Risk Analysis and Management

Education objectives

The postgraduate program in Risk Analysis and Management aims to train technical and management staff to be able to identify, quantify and manage the risks of financial institutions, and make decisions, according to the capital requirements established by Solvency II and Basel III.

This Postgraduate Program gives access to the Master Degree Program in Statistics and Information Management, with a specialization in Risk Analysis and Management, which is ranked as the best master degree program in Insurance, Risk and Actuarial Sciences in Portugal and the 2nd best in the World by Eduniversal.

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.

Applications - 4th 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 July 28th to August 17th, 2023. The selection process is based on the analysis of the applicant's academic and professional curriculum.

General characterization

DGES code

4952

Cicle

Postgraduate programmes

Degree

None

Access to other programs

This Postgraduate Program gives access to the Master Degree Program in Statistics and Information Management, with a specialization in Risk Analysis and Management, which is ranked as the best master degree program in Insurance, Risk and Actuarial Sciences in Portugal and the 4th best in the World by Eduniversal, an international agency that publishes an annual ranking of the best MBA and Master degree programs in the world.

Coordinator

Jorge Miguel Ventura Bravo

Opening date

September 2023

Vacancies

Fees

€4.200

Schedule

After working hours

Teaching language

English

Degree pre-requisites

To earn the postgraduate program diploma in Risk Analysis and Management, students complete a total of 60 ECTS, of which 45 are mandatory and the remaining 15 ECTS will be chosen by the students from a wide range of available course units.

Conditions of admittance

To enter this program, applicants must meet the following requirements: hold a bachelor’s degree in a compatible field (completed by September 2023); be proficient in English (spoken and written).

Evaluation rules

The assessment method will be continuous assessment, i.e. through individual or group work, projects, quizzes, tests/exams, etc.

At the beginning of each academic year, it is up to each teacher of each Curricular Unit (CU) to define how assessment will be carried out in their CUs, and this information is then made available via the student platform.

Structure

1º year - Autumn semester
Code Name ECTS
200307 Non-Life Insurance 3.5
200306 Life Insurance 4.0
200304 Banking and Insurance Economics 3.5
200160 Investments and Portfolio Management 7.5
200305 Predictive Analytics in Finance 4.0
Options
200191 Time Series Analysis 4.0
200185 Statistical Analysis 7.5
200186 Applied Multivariate Data Analysis 7.5
200268 Applied Network Analysis 7.5
200012 Business Intelligence I 7.5
400019 Customer Relationship Management Systems 0.0
200032 DataBase Management Systems 7.5
200297 Data Governance 3.5
200026 Data Mining I 7.5
200195 Information Systems Development 4.0
400020 Information Systems Governance 3.5
400005 Computational Statistics I 6.0
400154 Monetary and Financial Statistics 6.0
400097 Fixed Income Securities 7.5
200299 Change Management 4.0
400142 Portfolio Management 3.5
200014 Business Process Management 7.5
200070 Information Technologies Services Management 4.0
200073 Information Management Systems 3.5
200193 Data Management and Storage 4.0
200088 Forecasting Methods 3.5
200192 Data Privacy, Security and Ethics 4.0
200194 Digital Transformation 3.5
1º year - Spring semester
Code Name ECTS
200308 Financial Derivatives and Risk Management 7.5
200311 Credit Risk Management 3.5
200310 Market and Liquidity Risk Management 4.0
200309 Banking and Insurance Regulation and Supervision 7.5
Options
200198 Analysis of Discrete Data 4.0
200205 Analysis of Variance 4.0
200210 Architectures for Information Systems 3.5
200167 Big Data Analytics 7.5
200269 Blockchain 4.0
200314 Blockchain & CryptoAssets  4.0
200013 Business Intelligence II 7.5
200135 Cybersecurity 7.5
200261 Smart and Sustainable Cities 7.5
200028 Data Mining II 7.5
200162 Data Visualization 7.5
200303 E-Business 4.0
400021 Enterprise Cloud Mobility 7.5
400008 Computational Statistics II 6.0
200068 Information Project Management 4.0
200071 Knowledge Management 3.5
200302 Business Impact of Digital Projects 3.5
200301 Industry 4.0 4.0
200146 Innovation Management and Design Thinking 7.5
400023 Leadership and People Management 7.5
400145 Longevity-Linked Securities & Derivatives 7.5
200090 Econometrics Methods 7.5
200296 Process Mining Powered By Nokia 7.5
400014 Financial Reporting 6.0
200313 Operational and Business Continuity Risk 4.0
200300 Emerging Technologies for Innovation 3.5
200184 Sampling Theory and Methods 7.5
200298 Data-driven decision making 4.0