Especialização em Marketing Research e CRM

Education objectives

The Master Program in Data Driven Marketing, with a specialization 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 program is ranked as the best Master degree Program in Data Analytics in Portugal and the 3rd best in Western Europe by Eduniversal, international agency that publishes an annual ranking of the best MBA and Master degree programs in the world.

Applications - 4th call for applications
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 27th to August 17th 2021. The selection process is based on the analysis of the applicant's academic and professional curriculum.

General characterization

DGES code

94351

Cicle

Specialization Area

Degree

Master

Access to other programs

Coordinator

Paulo Miguel Rasquinho Ferreira Rita

Opening date

September 2021

Vacancies

Fees

€6.000

Schedule

After working hours

Teaching language

English

Degree pre-requisites

This path is an option of

Mestrado em Data-Driven Marketing

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 2021); be proficient in English (spoken and written).

Evaluation rules

Structure

1º year - Autumn semester
Code Name ECTS
200204 Social Network Analysis 3.5
200201 Data Science for Marketing 7.5
200163 Experimental Design 4.0
400082 Digital Analytics 7.5
200187 Marketing Strategy and Innovation 7.5
200197 Brand Management 3.5
200196 Digital Marketing & E-Commerce 7.5
200189 Descriptive Analytics in Marketing 0.0
Options
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
400082 Digital Analytics 7.5
400020 Information Systems Governance 3.5
200197 Brand Management 3.5
200070 Information Technologies Services Management 4.0
200071 Knowledge Management 7.5
200073 Information Systems Management 3.5
200193 Data Management and Storage 4.0
200196 Digital Marketing & E-Commerce 7.5
200189 Descriptive Analytics in Marketing 0.0
200165 Descriptive Methods of Data Mining 7.5
200192 Data Privacy, Security and Ethics 4.0
1º year - Spring semester
Code Name ECTS
200203 Machine Learning in Marketing 7.5
200202 Big Data for Marketing 7.5
200170 Consumer Behavior Insights 7.5
200049 Market Research 7.5
200188 Marketing Engineering and Analytics 7.5
200190 Predictive Analytics in Marketing 7.5
200200 Search Engine Optimization 4.0
400081 Social Media Analytics 7.5
Options
200203 Machine Learning in Marketing 7.5
200210 Architectures for Information Systems 3.5
200202 Big Data for Marketing 7.5
200013 Business Intelligence II 7.5
200014 Business Process Management 3.5
200170 Consumer Behavior Insights 7.5
200049 Market Research 7.5
200068 Information Project Management 4.0
200190 Predictive Analytics in Marketing 7.5
200200 Search Engine Optimization 4.0
400081 Social Media Analytics 7.5
200194 Digital Transformation 3.5
2º year - Autumn semester
Code Name ECTS
200086 Research Methodologies 7.5
2º year - Spring semester
Code Name ECTS
200045 Internship 35.0