Specialization in Information Analysis and Management

Education objectives

The specialization in Information Analysis and Management aims to train experts and managers qualified to lead and guide information collection, compilation, analysis and management inside organizations.

This specialization is aimed at everyone whose concern for analysis and treatment of information is critical to perform their roles, namely managers and technical staff involved in information production for strategic decision-making support in organizations. Marketing technical staff and managers, experts in market research and CRM, Information technologies managers, technical staff of Risk Management, Information systems managers, are among the target groups of this program.

The main goal of this program is to train technical staff and managers to:

- Develop techniques and methods of information collection;

- Apply several methods, statistical and computing tools to explore and analyze information, in order to reduce uncertainty in decision making;

- Communicate results, in written form and orally, to audiences with different technical

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

42811

Cicle

Specialization Area

Degree

Master

Access to other programs

This Master Degree gives acess to a Doctoral Program, confirm ours here.

Coordinator

Opening date

September 2023

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 Information Analysis and Management, the student must develop a scholarly thesis or a work project and the realization of the Course Unit of Research Methodologies, 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 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
200191 Time Series Analysis 4.0
200185 Statistical Analysis 7.5
200186 Applied Multivariate Data Analysis 7.5
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
200088 Forecasting Methods 3.5
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
200307 Non-Life Insurance 3.5
200306 Life Insurance 4.0
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
200304 Banking and Insurance Economics 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
200160 Investments and Portfolio Management 7.5
200088 Forecasting Methods 3.5
200305 Predictive Analytics in Finance 4.0
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
200090 Econometrics Methods 7.5
200309 Banking and Insurance Regulation and Supervision 7.5
200184 Sampling Theory and Methods 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
400019 Customer Relationship Management Systems 0.0
200028 Data Mining II 7.5
200162 Data Visualization 7.5
200308 Financial Derivatives and Risk Management 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
200311 Credit Risk Management 3.5
200071 Knowledge Management 3.5
200310 Market and Liquidity Risk Management 4.0
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
200309 Banking and Insurance Regulation and Supervision 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
400018 Statistical Treatment of Data 6.0
2º year - Autumn semester
Code Name ECTS
200288 Dissertation/ Work Project/ Interneship Report 30.0
200287 Research Methods 5.0