PostGraduate in Business Intelligence
Education objectives
The Postgraduate Program in Business Intelligence is aimed at managers looking for added value provided from data warehouses of the organizations, and technical staff who work in BI initiatives, including the processes of data warehousing, business analytics and data visualization.
This Postgraduate Program gives access to the Master Degree Program in Information Management, with a specialization in Business Intelligence, which is ranked as the best Master Degree Program in Business Intelligence and Strategy in the World by Eduniversal.
Applications - 2nd 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 April 14th to May 18th, 2023. The selection process is based on the analysis of the applicant's academic and professional curriculum.
General characterization
DGES code
4955
Cicle
Postgraduate programmes
Degree
None
Access to other programs
This Program gives access to the Master Degree in Information Management, with a specialization in Business Intelligence
Coordinator
Fernando José Ferreira Lucas Bação
Opening date
setembro de 2023
Vacancies
Fees
€4.200
Schedule
After working hours
Teaching language
English
Degree pre-requisites
To earn the postgraduate program diploma in Business Intelligence, students complete a total of 60 ECTS, of which 45 are mandatory and the remaining 15 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 2023); analysis of the applicants' academic and professional curriculum.
Evaluation rules
The assessment method will be continuous assessment, i.e. through individual or group work, projects, quizzes, tests/exams, etc.
At the beginning of each academic year, it is up to each teacher of each Curricular Unit (CU) to define how assessment will be carried out in their CUs, and this information is then made available via the student platform.
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 |
| 200192 | Data Privacy, Security and Ethics | 4.0 |
| Options | ||
| 200191 | Time Series Analysis | 4.0 |
| 200185 | Statistical Analysis | 7.5 |
| 200186 | Applied Multivariate Data Analysis | 7.5 |
| 200268 | Applied Network Analysis | 7.5 |
| 200307 | Non-Life Insurance | 3.5 |
| 200306 | Life Insurance | 4.0 |
| 200032 | DataBase Management Systems | 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 |
| 200014 | Business Process Management | 7.5 |
| 200070 | Information Technologies Services Management | 4.0 |
| 200073 | Information Management Systems | 3.5 |
| 200193 | Data Management and Storage | 4.0 |
| 200160 | Investments and Portfolio Management | 7.5 |
| 200196 | Digital Marketing & E-Commerce | 7.5 |
| 400082 | Digital Analytics | 7.5 |
| 200088 | Forecasting Methods | 3.5 |
| 200194 | Digital Transformation | 3.5 |