PostGraduate in Business Intelligence

Education objectives

The Postgraduate Program in Business Intelligence is aimed at managers looking for added value provided from data warehouses of the organizations, and technical staff who work in BI initiatives, including the processes of data warehousing, business analytics and data visualization.

This Postgraduate Program gives access to the Master Degree Program in Information Management, with a specialization in Business Intelligence, which is ranked as the best Master Degree Program in Business Intelligence and Strategy in the World by Eduniversal.

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. The selection process is based on the analysis of the applicant's academic and professional curriculum.

A new application phase for NOVA IMS' postgraduate and master's programs is open from June 18th to July 18thThe vacancies for this Postgraduate Program have already been filled, but you can check the remaining available programs here.

General characterization

DGES code

E149

Cicle

Postgraduate programmes

Degree

None

Access to other programs

This Program gives access to the Master Degree in Information Management, with a specialization in Business Intelligence

Coordinator

Fernando José Ferreira Lucas Bação

Opening date

September 2024

Vacancies

Fees

€4.200

Schedule

After working hours

Teaching language

English

Degree pre-requisites

To earn the postgraduate program diploma in Business Intelligence, students complete a total of 60 ECTS, of which 45 are mandatory and the remaining 15 ECTS will be chosen by thestudents from a wide range of available 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
200012 Business Intelligence I 7.5
200297 Data Governance 3.5
200026 Data Mining I 7.5
200192 Data Privacy, Security and Ethics 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
200032 DataBase Management Systems 7.5
200163 Experimental Design 4.0
200195 Information Systems Development 4.0
400020 Information Systems Governance 3.5
200187 Marketing Strategy and Innovation 7.5
200299 Change Management 4.0
200197 Brand 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
200196 Digital Marketing & E-Commerce 7.5
400082 Digital Analytics 7.5
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
200013 Business Intelligence II 7.5
200028 Data Mining II 7.5
200071 Knowledge Management 3.5
200298 Data-driven decision making 4.0
Options
200210 Architectures for Information Systems 3.5
200167 Big Data Analytics 7.5
200269 Blockchain 4.0
200314 Blockchain & CryptoAssets  4.0
200135 Cybersecurity 7.5
200261 Smart and Sustainable Cities 7.5
200170 Consumer Behavior Insights 7.5
400019 Customer Relationship Management Systems 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
200049 Market Research 7.5
200068 Information Project Management 4.0
200217 Information Project Management II 3.5
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
200315 Generative Artificial Intelligence 7.5
400023 Leadership and People Management 7.5
400081 Social Media Analytics 7.5
200090 Econometrics Methods 7.5
200200 Search Engine Optimization 4.0
200296 Process Mining Powered By Nokia 7.5
400010 Data Collection, Administrative Sources and Big Data 6.0
200300 Emerging Technologies for Innovation 3.5
200184 Sampling Theory and Methods 7.5
200298 Data-driven decision making 4.0