Specialization in Data Science for Marketing
Education objectives
The Master Program in Data Driven Marketing, with a specialization in Data Science for Marketing, aims to fill a gap in the postgraduate training of marketing professionals who need to gain new skills to be able to actively participate in the development and application of analytical marketing models. With the proposed study plan, this Post-graduation presents an up-to-date structure that combines several areas of marketing with a transversal approach of data science to leverage them.
This program is designed to provide excellent training, articulating key concepts and challenges for marketing decision-making in its multiple strategic, innovation and methodological strands with practical data-oriented processing (data science & big data), artificial intelligence (machine learning) and analysis of social networks of consumers. The versatility in the offer of optional curricular units also allows to reinforce theoretical and practical knowledge in several related areas such as digital marketing, social media, e-commerce and search engine optimization.
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
94353
Cicle
Specialization Area
Degree
Master
Access to other programs
Coordinator
Paulo Miguel Rasquinho Ferreira Rita
Opening date
September 2022
Vacancies
Fees
€6.000
Schedule
After working hours
Teaching language
English
Degree pre-requisites
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
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 |