NOVA Information Management School

PostGraduate Digital Marketing and Analytics

Cycle

Curso de Pós-graduação

Degree

Not awarded

ECTS Coordinator

Roberto Henriques

Education objectives

Today companies recognize the significance of the Internet for its optimal performance. With the arrival of Web 2.0 the need to adopt analytical approaches to understand and create competitive advantage in this environment gained further significance.

Marketing professionals turn increasingly to decision-making support systems in order to gain competitive advantage in the marketplace. This program provides a solid background to address marketing issues, contributing to the improvement of decision-making in companies.

The postgraduate program 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 Digital Marketing and its characteristics;
  • Understand the operating principles of Internet Social Media and methodologies for its use increating value for business;
  • Understand and be able to apply analytical Social Media techniques.
  • Understand the significance of Web Analytics;
  • Understand the principles and metrics of Marketing in the internet;
  • Master the techniques of Search Engine Marketing, including AdWords campaigns management,and the development of Search Engine Optimization (SEO) strategy. 

Applications
To complete the application, the applicant must register in NOVA IMS' Applications Portal, fill the form, upload their Curriculum Vitae and submit the application in the end, from February 2nd to March 24th, 2016. The selection process is based on the analysis of the applicant's academic and professional curriculum, and an interview.

Access conditions

<p> The requirements for the applications are: </p> <p>A degree in a compatible field;</p> <p>Analysis of the applicants' academic and professional curriculum;</p> <p>Interview conducted by the Admissions' Jury Panel.</p>

Degree pre-requisites

To earn the postgraduate program diploma in Digital Marketing and Analytics, students complete 8 course units (a total of 60 ECTS), of which 4 are mandatory and the 4 elective course units will be chosen by thestudents from a wide range of available course units.

Access to other courses

Evaluation rules

Structure

1º year - Autumn semester
Code Name ECTS
200083 Marketing Digital 1.0
400029 Web Analytics 7.5
Options
200001 Data Analysis 7.5
200004 Geographic Information Systems Applications 7.5
200009 Spatial Databases 7.5
200012 Business Intelligence I 7.5
200015 Geographical Information Systems and Science 7.5
200016 Cartographic Sciences 7.5
200026 Data Mining I 7.5
200032 DataBase Management Systems 7.5
200046 Statistics 7.5
200048 Marketing Strategy and Consumer Behaviour 7.5
200055 GI Standards 4.0
200056 Geographic Information Systems 3.0
200058 Geographic Information Systems Applications 7.5
200060 Geospatial Data Mining 7.5
200064 Geostatistics 7.5
200068 Information Project Management 7.5
200070 Information Technologies Services Management 7.5
200071 Knowledge Management 7.5
200073 Information Systems Management 7.5
200081 Introduction to Geostatistics 3.5
200086 Research Methodologies 7.5
200087 Data Collection Methods 7.5
200089 Survey Methods 7.5
200092 Quantitative Methods for Marketing - Descriptive Methods 7.5
200101 Banking and Insurance Operation 7.5
200104 Principles of Financial Management 7.5
200107 Project Management 3.5
200115 Remote Sensing 7.5
200129 Value Quantification Technics 7.5
200139 Web Marketing and E-Commerce 7.5
400020 Information Systems Governance 7.5
400021 Enterprise Cloud Mobility 7.5
1º year - Spring semester
Code Name ECTS
400027 Search Engine Marketing 7.5
400028 Social Media Intelligence 7.5
Options
200007 Architectures for Information Technology 7.5
200013 Business Intelligence II 7.5
200014 Business Process Management 7.5
200024 Geospatial Data Mining 7.5
200028 Data Mining II 7.5
200049 Market Research 7.5
200054 Geographic Databases and Geospatial Web Services 4.0
200061 Geospatial Free Open Source Software 4.0
200065 Customer Satisfacion and Loyalty Management 7.5
200067 Marketing Management 7.5
200069 Risk Management 7.5
200072 Customer Relationship Management (CRM) 7.5
200085 Experiential Marketing 7.5
200088 Forecasting Methods 7.5
200090 Econometrics Methods 7.5
200093 Quantitative Methods for Marketing - explanatory methods 7.5
200094 Geographical Information Systems and Modelling 7.5
200097 Solvency Models 7.5
200105 Geographic Information Systems Programming 4.0
200121 Decision Support Systems 7.5
200123 Sistemas de Informação Geográfica Empresariais 7.5
200124 Geographical Information Systems in Organizations 7.5
200144 Big Data 7.5
400019 Customer Relationship Management Systems 7.5
400022 Enterprise Resource Planning Systems 7.5
400023 Leadership and People Management 6.0