Specialization in Marketing Intelligence - Working Hours Format

Education objectives

The specialization in Marketing Intelligence is now part of the Master Program in Data Driven Marketing. It aims to train managers, technical staff and other marketing professionals to lead and guide the collection, compilation, analysis and dissemination of marketing information in organizations.  It is aimed also at Information Systems managers.

The program provides a balanced curriculum with two components: one based on tools and methodologies of marketing management, and the other supported by methodologies and techniques of information analysis and management. 

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

- Develop strategies, methods and tools 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 marketing information 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. 

General characterization

DGES code

94346

Cicle

Specialization Area

Degree

Master

Access to other programs

Coordinator

Miguel de Castro Neto

Opening date

September 2021

Vacancies

Fees

€6.000

Schedule

Working Hours

Teaching language

English

Degree pre-requisites

For the conclusion of the curricular component, it is necessary to obtain a minimum of 60 credit units (ECTS). The curricular component of the program includes two semesters and corresponds to a postgraduate program diploma.


To earn the Master degree program in Data Driven Marketing, with a specialization in Marketing Intelligence, the student must develop a scholarly thesis, work project or a professional internship, carried out in the third semester.

This path is an option of

Master in Information Management

Conditions of admittance

The requirements for the applications are: a degree in a compatible field (complete until September 2020); analysis of the applicants' academic and professional curriculum.

Evaluation rules

Structure

1º year - Autumn semester
Code Name ECTS
200012 Business Intelligence I 7.5
200195 Information Systems Development 4.0
400020 Information Systems Governance 3.5
200187 Marketing Strategy and Innovation 7.5
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
200165 Descriptive Methods of Data Mining 7.5
200192 Data Privacy, Security and Ethics 4.0
Options
200204 Social Network Analysis 3.5
200191 Time Series Analysis 0.0
200185 Statistical Analysis 7.5
200186 Applied Multivariate Data Analysis 7.5
200159 Life & Non-Life Actuarial Techniques 7.5
200012 Business Intelligence I 7.5
200261 Smart and Sustainable Cities 7.5
200201 Data Science for Marketing 7.5
200032 DataBase Management Systems 7.5
200163 Experimental Design 4.0
200195 Information Systems Development 4.0
400082 Digital Analytics 7.5
400020 Information Systems Governance 3.5
400021 Enterprise Cloud Mobility 7.5
200187 Marketing Strategy and Innovation 7.5
200058 Geographic Information Systems Applications 7.5
200060 Geospatial Data Mining 7.5
200064 Geostatistics 7.5
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
200160 Investments and Portfolio Management 7.5
200196 Digital Marketing & E-Commerce 7.5
200189 Descriptive Analytics in Marketing 0.0
200088 Forecasting Methods 3.5
200165 Descriptive Methods of Data Mining 7.5
200101 Banking and Insurance Operations 6.0
200192 Data Privacy, Security and Ethics 4.0
200115 Remote Sensing 7.5
200056 Geographic Information Systems 7.5
1º year - Spring semester
Code Name ECTS
200210 Architectures for Information Systems 3.5
200167 Big Data Analytics 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
200188 Marketing Engineering and Analytics 7.5
200166 Predictive Methods of Data Mining 7.5
200194 Digital Transformation 3.5
Options
200198 Analysis of Discrete Data 4.0
200205 Analysis of Variance 4.0
200210 Architectures for Information Systems 3.5
200167 Big Data Analytics 7.5
200013 Business Intelligence II 7.5
200014 Business Process Management 3.5
200135 Cibersecurity 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
200217 Information Project Management II 3.5
200069 Risk Management 7.5
200146 Innovation Management and Design Thinking 7.5
400023 Leadership and People Management 7.5
200190 Predictive Analytics in Marketing 7.5
200090 Econometrics Methods 7.5
200166 Predictive Methods of Data Mining 7.5
200097 Solvency Models 7.5
200200 Search Engine Optimization 4.0
200161 Market and Credit Risk Management 7.5
200124 Geographical Information Systems in Organizations 7.5
400081 Social Media Analytics 7.5
200184 Sampling Theory and Methods 7.5
200194 Digital Transformation 3.5
2º year - Autumn semester
Code Name ECTS
200049 Market Research 7.5
200086 Research Methodologies 7.5
2º year - Spring semester
Code Name ECTS
200045 Internship 35.0