PostGraduate in Marketing Intelligence

Education objectives

The Postgraduate Program in Marketing Intelligence aims to train experts and managers able to lead and guide the collection, compilation, analysis and dissemination of marketing information in organizations.

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

  • Develop strategies, methods and instruments of marketing management;
  • Be aware of client behavior and create relationship policies;
  • Master the processes and tools used for the storage, organization and access to information for marketing in organizations;
  • Use the several methodologies and tools of exploration and analysis, in order to reduce the levels of uncertainty related to
    solving marketing problems.

This Postgraduate Program gives access to the Master degree program in Data Driven Marketing, with a specialization in Marketing Intelligence (is offered in two formats: working hours and after working hours). For more information about this Master, please click here.

Applications - 3rd 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 21st to July 21st, 2022. The selection process is based on the analysis of the applicant's academic and professional curriculum.

General characterization

DGES code



Postgraduate programmes



Access to other programs


Paulo Miguel Rasquinho Ferreira Rita

Opening date

September 2022





After Working Hours

Teaching language


Degree pre-requisites

To earn the Postgraduate Program diploma in Marketing Intelligence, students complete a total of 60 ECTS, of which 41 are mandatory and the remaining 19 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); be proficient in English (spoken and written).

Evaluation rules


1º year - Autumn semester
Code Name ECTS
200187 Marketing Strategy and Innovation 7.5
200197 Brand Management 3.5
200196 Digital Marketing & E-Commerce 7.5
200204 Social Network Analysis 3.5
200012 Business Intelligence I 7.5
200201 Data Science for Marketing 7.5
200163 Experimental Design 4.0
200195 Information Systems Development 4.0
400020 Information Systems Governance 3.5
200014 Business Process Management 7.5
200071 Knowledge Management 3.5
200070 Information Technologies Services Management 4.0
200073 Information Management Systems 3.5
200193 Data Management and Storage 4.0
200268 Graph Analytics powered by Nokia 7.5
200189 Descriptive Analytics in Marketing 7.5
400082 Digital Analytics 7.5
200165 Descriptive Methods of Data Mining 7.5
200291 Descriptive Methods of Data Mining 7.5
200192 Data Privacy, Security and Ethics 4.0
1º year - Spring semester
Code Name ECTS
200170 Consumer Behavior Insights 7.5
200049 Market Research 7.5
200188 Marketing Engineering and Analytics 0.0
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
200269 Blockchain 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
200162 Data Visualization 7.5
400055 Enterprise Resource Management Systems 7.5
200068 Information Project Management 4.0
200268 Graph Analytics powered by Nokia 7.5
200146 Innovation Management and Design Thinking 7.5
400023 Leadership and People Management 7.5
400081 Social Media Analytics 7.5
200190 Predictive Analytics in Marketing 7.5
200166 Predictive Methods of Data Mining 7.5
200200 Search Engine Optimization 4.0
200296 Process Mining Powered By Nokia 7.5
200194 Digital Transformation 3.5