PostGraduate in Data Science for Marketing

Education objectives

The Postgraduate program 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 - academic year 2020/2021
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 16th to July 16th. The selection process is based on the analysis of the applicant's academic and professional curriculum.

General characterization

DGES code

4977

Cicle

Postgraduate programmes

Degree

None

Access to other programs

To earn the postgraduate program diploma in Data Science for Marketing, students complete a total of 60 ECTS, of which 41,5 are mandatory and the remaining 18,5 ECTS will be chosen by thestudents from a wide range of available course units.

Coordinator

Opening date

September 2020

Vacancies

Fees

€4.100

Schedule

After Working Hours

Teaching language

Available soon

Degree pre-requisites

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
200204 Social Network Analysis 4.0
200201 Data Science for Marketing 7.5
200187 Marketing Strategy and Innovation 7.5
Options
200191 Time Series Analysis 4.0
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
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
200056 Ciência e Sistemas de Informação Geográfica 7.5
200058 Geographic Information Systems Applications 7.5
200060 Geospatial Data Mining 7.5
200064 Geostatistics 7.5
200197 Brand Management 4.0
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
200199 Data pre-processing 3.5
200192 Data Privacy, Security and Ethics 4.0
200115 Remote Sensing 7.5
1º year - Spring semester
Code Name ECTS
200203 Machine Learning in Marketing 7.5
200202 Big Data for Marketing 7.5
200188 Marketing Engineering and Analytics 7.5
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
200170 Consumer Behavior Insights 7.5
200162 Data Visualization 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 6.0
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
400081 Social Media Analytics 7.5
200184 Sampling Theory and Methods 7.5
200194 Digital Transformation 3.5