PostGraduate Marketing Research e CRM

Education objectives

The Postgraduate Program in Marketing Research and CRM, is for managers, experts and other marketing professionals, who wish to obtain and deepen their skills in Marketing Research and CRM, using the most advanced methods of collection, analysis and treatment of information.

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

  • Plan, create, and conduct market studies or any other market research;
  • Select and apply methods of collection of marketing data;
  • Analyze, interpret, and communicate the results of market research;
  • Manage, explore, interpret and communicate marketing information that is present in information systems or from other
    sources of marketing information;
  • Create, implement, and manage customer relationship policies.

This Postgraduate Program gives access to the Master degree program in Data Driven Marketing, with a specialization in Marketing Research and CRM, which is ranked as the best Master Degree Program in Data Analytics in Portugal and the 3rd best in the Western Europe by Eduniversal, international agency that publishes an annual ranking of the best MBA and Master degree programs in the world.

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





Afer working hours

Teaching language


Degree pre-requisites

To earn the Postgraduate Program diploma in Marketing Research e CRM, Students have to complete 60 ECTS, of which 41,5 are Mandatory Course Units and the remaining 18,5 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
200163 Experimental Design 4.0
200187 Marketing Strategy and Innovation 7.5
200189 Descriptive Analytics in Marketing 7.5
200204 Social Network Analysis 3.5
200012 Business Intelligence I 7.5
200201 Data Science for Marketing 7.5
200195 Information Systems Development 4.0
400020 Information Systems Governance 3.5
200197 Brand Management 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
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
200049 Market Research 7.5
200188 Marketing Engineering and Analytics 0.0
200190 Predictive Analytics in Marketing 7.5
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
200170 Consumer Behavior Insights 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
200196 Digital Marketing & E-Commerce 7.5
400081 Social Media Analytics 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