Post-Graduation in Information Analysis and Management

Education objectives

The postgraduate program in Information Analysis and Management aims to train experts and managers qualified to lead and guide information collection, compilation, analysis and management inside organizations.

This program is for anyone whose role requires the analysis and treatment of information i.e. Managers and technical staff involved in information production for strategic decision-making support in organizations. Marketing technical staff and managers, experts in market research and CRM, Information technologies managers, technical staff of Risk Management, Information systems managers, are among the target groups of this program.

The goal of this program is to train technical staff and managers to:

  • Develop techniques and methods of information collection;
  • Apply several methods, statistical and computing tools to explore and analyze information, in order to reduce uncertainty in
    decision making;
  • Communicate results, in written form and orally, to audiences with different technical levels.

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

4951

Cicle

Postgraduate programmes

Degree

None

Access to other programs

Coordinator

Opening date

September 2020

Vacancies

Fees

€4.100

Schedule

After Working Hours

Teaching language

Available soon

Degree pre-requisites

To earn the postgraduate program diploma in Information Analysis and Management, students complete a total of 60 ECTS, of which 33,5 are mandatory and the remaining 26,5 ECTS will be chosen by thestudents from a wide range of available course units.

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
200185 Statistical Analysis 7.5
200186 Applied Multivariate Data Analysis 7.5
200088 Forecasting Methods 3.5
Options
200204 Social Network Analysis 4.0
200191 Time Series Analysis 4.0
200159 Life & Non-Life Actuarial Techniques 7.5
200012 Business Intelligence I 7.5
200201 Data Science for Marketing 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
200187 Marketing Strategy and Innovation 7.5
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
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
200090 Econometrics Methods 7.5
200184 Sampling Theory and Methods 7.5
Options
200198 Analysis of Discrete Data 4.0
200205 Analysis of Variance 4.0
200203 Machine Learning in Marketing 7.5
200210 Architectures for Information Systems 3.5
200167 Big Data Analytics 7.5
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
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
200188 Marketing Engineering and Analytics 7.5
200190 Predictive Analytics in Marketing 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
200194 Digital Transformation 3.5