Specialization in Digital Marketing and Analytics

Education objectives

The Master Program in Data Driven Marketing, with a specialization in Digital Marketing and Analytics, is aimed at managers, experts and other professionals who want to obtain skills in Digital Marketing and Web Analytics, using the most advanced methodologies for collecting, analyzing and processing data to support decision making in Web Marketing.

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

  • Understand the operating principles of Digital Marketing and Internet Social Media, as well the methodologies for its use in
    creating value for business;
  • Understand and be able to apply analytical Social Media techniques;
  • Understand the principles and metrics of Marketing in the Internet;
  • Master the techniques of Search Engine Marketing, including AdWords campaign management and the development of
    Search Engine Optimization (SEO) strategy.

This program is ranked as the best program in E-Business and Digital Marketing in Portugal and the 3rd in the Western Europe by Eduniversal, an international agency that publishes the annual ranking of the best MBA and Master programs in the world.

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 April 20th until May 26th, 2022. The selection process is based on the analysis of the applicant's academic and professional curriculum.

General characterization

DGES code

94352

Cicle

Specialization Area

Degree

Master

Access to other programs

Coordinator

Paulo Miguel Rasquinho Ferreira Rita

Opening date

September 2022

Vacancies

Fees

€6.000

Schedule

Working hours and After working hours

Teaching language

English

Degree pre-requisites

The curricular component of the Study Plan (1st and 2nd semesters of the program) corresponds to 60 ECTS, 49 of which, are Mandatory Course Units. The remaining 11 ECTS correspond to Elective Course units.

This path is an option of

Master Degree in 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); 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
200187 Marketing Strategy and Innovation 7.5
200197 Brand Management 3.5
200196 Digital Marketing & E-Commerce 7.5
200189 Descriptive Analytics in Marketing 7.5
400082 Digital Analytics 7.5
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
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
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
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 0.0
200188 Marketing Engineering and Analytics 0.0
400081 Social Media Analytics 7.5
200190 Predictive Analytics in Marketing 7.5
200200 Search Engine Optimization 4.0
Options
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
200049 Market Research 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
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
2º year - Autumn semester
Code Name ECTS
200265 Dissertation/Internship Report/Project 30.0
200086 Research Methodologies 6.0
2º year - Spring semester
Code Name ECTS
200049 Market Research 7.5