Specialization in Information Analysis and Management

Education objectives

The specialization 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 specialization is aimed at everyone whose concern for analysis and treatment of information is critical to perform their roles, namely 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 main 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 2019/2020
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, until May 9th. The selection process is based on the analysis of the applicant's academic and professional curriculum.

General characterization

DGES code

42811

Cicle

Specialization Area

Degree

Master

Access to other programs

Access to Doctoral Program.

Coordinator

Roberto Henriques

Opening date

Vacancies

Fees

Schedule

Teaching language

Available soon

Degree pre-requisites

For the conclusion of the curricular component, it is necessary to obtain a minimum of 60 ECTS (credit units). The curricular component of the program includes two semesters, that corresponds to a postgraduate program diploma.

To earn the Master degree program in Statistics and Information Management, with a specialization in Information Analysis and Management, the student must develop a scholarly thesis, work project or a professional internship, carried out in the third semester.

This path is an option of

Master in Statistics and Information Management

Conditions of admittance

The requirements for the applications are: a degree in a compatible field (complete until September 2018); analysis of the applicants' academic and professional curriculum.

Evaluation rules

The evaluation of each discipline is usually carried through a final exam. This evaluation may be complemented with a project developed individually or in group. A minimum classification of 10 values is demanded so that the discipline is concluded successfully.

Structure

1º year - Autumn semester
Code Name ECTS
200185 Statistical Analysis 7.5
200159 Life & Non-Life Actuarial Techniques 7.5
200187 Marketing Strategy and Innovation 7.5
200160 Investments and Portfolio Management 7.5
200189 Descriptive Analytics in Marketing 0.0
200090 Econometrics Methods 7.5
200101 Banking and Insurance Operations 7.5
Options
200204 Social Network Analysis 4.0
200185 Statistical Analysis 7.5
200159 Life & Non-Life Actuarial Techniques 7.5
200012 Business Intelligence I 7.5
200201 Data Science for Marketing 7.5
200170 Consumer Behavior Insights 7.5
400082 Digital Analytics 7.5
200187 Marketing Strategy and Innovation 7.5
200070 Information Technologies Services Management 4.0
200071 Knowledge Management 7.5
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
200189 Descriptive Analytics in Marketing 0.0
200088 Forecasting Methods 3.5
200165 Descriptive Methods of Data Mining 7.5
200090 Econometrics Methods 7.5
200101 Banking and Insurance Operations 7.5
200199 Data pre-processing 3.5
200192 Data Privacy, Security and Ethics 4.0
1º year - Spring semester
Code Name ECTS
200186 Applied Multivariate Data Analysis 7.5
200163 Experimental Design 4.0
200049 Market Research 7.5
200069 Risk Management 7.5
200086 Research Methodologies 7.5
200188 Marketing Engineering and Analytics 7.5
200190 Predictive Analytics in Marketing 7.5
200088 Forecasting Methods 3.5
200097 Solvency Models 7.5
200161 Market and Credit Risk Management 7.5
200184 Sampling Theory and Methods 7.5
Options
200198 Analysis of Discrete Data 4.0
200191 Time Series Analysis 4.0
200205 Analysis of Variance 4.0
200186 Applied Multivariate Data Analysis 7.5
200203 Machine Learning in Marketing 7.5
200210 Arquiteturas de Sistemas de Informação 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
200201 Data Science for Marketing 7.5
200170 Consumer Behavior Insights 7.5
200163 Experimental Design 4.0
200163 Experimental Design 4.0
200195 Information Systems Development 4.0
400020 Information Systems Governance 3.5
200049 Market Research 7.5
200197 Brand Management 4.0
200068 Information Project Management 4.0
200069 Risk Management 7.5
200073 Information Systems Management 3.5
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
200184 Sampling Theory and Methods 7.5
200194 Digital Transformation 3.5
2º year - Spring semester
Code Name ECTS
200045 Internship 35.0