Laboral - Especialização em 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 2nd 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 - 3rd 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 June 15th to July 15th. The selection process is based on the analysis of the applicant's academic and professional curriculum.
General characterization
DGES code
94355
Cicle
Specialization Area
Degree
Master
Access to other programs
Coordinator
Paulo Miguel Rasquinho Ferreira Rita
Opening date
September 2021
Vacancies
Fees
€6.000
Schedule
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
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 |