Specialization in Business Intelligence – Working Hours

Education objectives

The Master Program in Information Management, with a specialization in Knowledge Management and Business Intelligence is ranked as the best Master degree Program in Business Intelligence and Knowledge Management in the World by Eduniversal, international agency that publishes an annual ranking of the best MBA and Master degree programs in the world.

It is aimed at managers and leaders looking for added value provided from data warehouses, and technical staff who work in BI initiatives, including the processes of data warehousing, business analytics and data visualization.

The program is aimed at graduates in a compatible field (Management, Engineering, Economics, Marketing, Statistics and Information Management, Sociology or Psychology) or another area of knowledge if qualified with the appropriate professional experience in information management activities. Among the potential target of this program, we highlight those who have roles in Knowledge Management and Business Intelligence, Data Warehouses Managers as well as managers and leaders looking managers looking for added value provided from data warehouses of the organizations in which they develop their activity. This program also aims at technical staff and managers that need to work together to launch BI initiatives.

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

- Introduce the principles of Knowledge Management to improve organizational efficiency and effectiveness, in order to promote the competitiveness of organizations;

- Understand the process of Business Intelligenceand its role in creating value for the business;

- Using analytical applications to monitor the organizations’ performance and visualization tools;

- Understand the purpose and meet the main techniques of Data Mining and Predictive Analytics;

- Identify key indicators of the analytical applications in a business context.

Applications - 3rd call
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 21st to July 21st, 2022. The selection process is based on the analysis of the applicant's academic and professional curriculum.

General characterization

DGES code

94344

Cicle

Specialization Area

Degree

Master

Access to other programs

Coordinator

Fernando José Ferreira Lucas Bação

Opening date

September 2022

Vacancies

Fees

€6.000

Schedule

Working Hours

Teaching language

English

Degree pre-requisites

This path is an option of

Master in Information Management

Conditions of admittance

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

Evaluation rules

Structure

1º year - Autumn semester
Code Name ECTS
200012 Business Intelligence I 7.5
200297 Data Governance 3.5
200026 Data Mining I 7.5
200195 Information Systems Development 4.0
400020 Information Systems Governance 3.5
200288 Dissertation/ Work Project/ Interneship Report 30.0
200299 Change Management 4.0
200070 Information Technologies Services Management 4.0
200073 Information Management Systems 3.5
200193 Data Management and Storage 4.0
200301 Industry 4.0 4.0
200192 Data Privacy, Security and Ethics 4.0
200300 Emerging Technologies for Innovation 3.5
200194 Digital Transformation 3.5
Options
200191 Time Series Analysis 4.0
200185 Statistical Analysis 7.5
200307 Non-Life Actuary 3.5
200306 Life Actuary 4.0
200012 Business Intelligence I 7.5
200032 DataBase Management Systems 7.5
200026 Data Mining I 7.5
200163 Experimental Design 4.0
200195 Information Systems Development 4.0
400020 Information Systems Governance 3.5
200187 Marketing Strategy and Innovation 7.5
200299 Change Management 4.0
200197 Brand Management 3.5
200070 Information Technologies Services Management 4.0
200073 Information Management Systems 3.5
200193 Data Management and Storage 4.0
200301 Industry 4.0 4.0
200160 Investments and Portfolio Management 7.5
400082 Digital Analytics 7.5
200088 Forecasting Methods 3.5
200090 Econometrics Methods 7.5
200300 Emerging Technologies for Innovation 3.5
200194 Digital Transformation 3.5
1º year - Spring semester
Code Name ECTS
200210 Architectures for Information Systems 3.5
200013 Business Intelligence II 7.5
200135 Cybersecurity 7.5
200028 Data Mining II 7.5
200303 E-Business 4.0
200014 Business Process Management 7.5
200068 Information Project Management 4.0
200071 Knowledge Management 3.5
200302 Business Impact of Digital Projects 3.5
200298 Data-driven decision making 4.0
Options
200186 Applied Multivariate Data Analysis 7.5
200210 Architectures for Information Systems 3.5
200167 Big Data Analytics 7.5
200269 Blockchain 4.0
200314 Blockchain & CryptoAssets  4.0
200013 Business Intelligence II 7.5
200135 Cybersecurity 7.5
200170 Consumer Behavior Insights 7.5
200028 Data Mining II 7.5
200162 Data Visualization 7.5
200308 Financial Derivatives and Risk Management 7.5
200303 E-Business 4.0
200049 Market Research 7.5
200014 Business Process Management 7.5
200068 Information Project Management 4.0
200311 Credit Risk Management 3.5
200071 Knowledge Management 3.5
200310 Market and Liquidity Risk Management 4.0
200268 Graph Analytics powered by Nokia 7.5
200302 Business Impact of Digital Projects 3.5
200146 Innovation Management and Design Thinking 7.5
400023 Leadership and People Management 7.5
200196 Digital Marketing & E-Commerce 7.5
400081 Social Media Analytics 7.5
200200 Search Engine Optimization 4.0
200296 Process Mining Powered By Nokia 7.5
400010 Data Collection, Administrative Sources and Big Data 6.0
200184 Sampling Theory and Methods 7.5
200298 Data-driven decision making 4.0
2º year - Autumn semester
Code Name ECTS
200288 Dissertation/ Work Project/ Interneship Report 30.0
200287 Research Methods 5.0