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  4. Laboral - Especialização em Data Science for Marketing

Laboral - Especialização em Data Science for Marketing

Education objectives

General characterization

DGES code

94357

Cicle

Specialization Area

Degree

Master

Access to other programs

Coordinator

Paulo Miguel Rasquinho Ferreira Rita

Opening date

Vacancies

Fees

Schedule

Teaching language

Degree pre-requisites

This path is an option of

Master Degree in Data Driven Marketing

Conditions of admittance

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