PostGraduate in Marketing Intelligence
Education objectives
The Postgraduate Program in Marketing Intelligence aims to train experts and managers able to lead and guide the collection, compilation, analysis and dissemination of marketing information in organizations.
The goal of this program is to train technical staff and managers to:
- Develop strategies, methods and instruments 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 information for marketing 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.
This Postgraduate Program gives access to the Master degree program in Data Driven Marketing, with a specialization in Marketing Intelligence (is offered in two formats: working hours and after working hours). For more information about this Master, please click here.
Applications - 2nd 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 April 7th to May 13th, 2021. The selection process is based on the analysis of the applicant's academic and professional curriculum.
General characterization
DGES code
4956
Cicle
Postgraduate programmes
Degree
None
Access to other programs
Coordinator
Miguel de Castro Neto
Opening date
September 2021
Vacancies
Fees
€4.1000
Schedule
After Working Hours
Teaching language
English
Degree pre-requisites
To earn the Postgraduate Program diploma in Marketing Intelligence, Students have to complete 60 ECTS, of which 41,5 are Mandatory Course Units.
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 |
| 200187 | Marketing Strategy and Innovation | 7.5 |
| 200197 | Brand Management | 3.5 |
| 200196 | Digital Marketing & E-Commerce | 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 |
| 400082 | Digital Analytics | 7.5 |
| 400020 | Information Systems Governance | 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 |
| 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 |
| 200170 | Consumer Behavior Insights | 7.5 |
| 200049 | Market Research | 7.5 |
| 200188 | Marketing Engineering and 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 |
| 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 |