PostGraduate in Data Analysis

Education objectives

The Postgraduate Program in Information Analysis and Management aims to train experts and managers qualified to lead and guide information collection, compilation, analysis, and management inside organizations. The analysts and information managers have the vital task of organizing and analyzing information from organizations and translating it into actions to achieve tangible goals. The major goal of this program is to create skills for decision-making support and to promote decision-making improvements in organizations.

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

  • Develop techniques and methodologies for data collection;

  • Apply various methodologies, tools and computational statistics to explore and analyze information in order to reduce levels of uncertainty associated with decision-making;

  • Communicate results, in written form or orally, adapting them to the level and interests of the audience.

 Applications - 5th 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 18th and July 18th, 2024. The selection process is based on the analysis of the applicant's academic and professional curriculum.

General characterization

DGES code

E146

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 Information Analysis and Management.

Coordinator

Jorge Miguel Ventura Bravo

Opening date

September 2024

Vacancies

Fees

€4.200

Schedule

After Working Hours

Teaching language

English

Degree pre-requisites

The study plan of this Program corresponds to 60 ECTS, of which 37,5 are in mandatory course units. The remaining 22,5 ECTS corresponding to the Elective Course Units

 

Conditions of admittance

The requirements for the applications are: a degree in a compatible field (complete until September 2024); 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
200088 Forecasting Methods 3.5
Options
200268 Applied Network Analysis 7.5
200307 Non-Life Insurance 3.5
200306 Life Insurance 4.0
200012 Business Intelligence I 7.5
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
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
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
200090 Econometrics Methods 7.5
200184 Sampling Theory and Methods 7.5
Options
200198 Analysis of Discrete Data 4.0
200322 Human Resources Analytics 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 7.5
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
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
200298 Data-driven decision making 4.0
400018 Statistical Treatment of Data 6.0