Course Objectives
The institution has defined its own educational, scientific and cultural project, in which it assumes to be a “school-company, putting emphasis on a theoretical/practical training, adapted to an increasingly competitive labor market.
Access Conditions
The master’s degree in data analysis and decision support systems is intended preferably to graduates in Management, Economics, Accounting, Information Technology, Solicitors and other related fields. May further apply other graduates in the areas of social sciences and humanities who want to develop analytical and decision-making skills and strategy abilities.
Professional Outlets
Professionals in the area of management and administration.
Study, planning, strategy offices.
Learning Language
Portuguese Language.
Learning Objectives
• Know and master the most appropriate techniques to data analysis
• Develop the extraction ability and interpretation of information
• Increase the capacity of decision and strategic thinking
• To create and manage a rigorous decision-making system
• Promote forecasting, monitoring of business
• Build and apply various research techniques used in social sciences
• Be committed to creating value and manage efficiently and effectively the implementation of actions and assess their progress.
Access to Superior Studies
The Master`s degree allows the entry into the third studies cycle which leads to the PhD.
Course Coordinators
Main Branch
Curricular Unit | Code | ECTS | Period |
Business Analytics and Data Culture | 51001441 | 5 | 1st S |
Data Mining & Machine Learning | 51001465 | 5 | 1st S |
Programming for Data Science | 51001430 | 5 | 1st S |
Research Methodology and Techniques | 51001413 | 5 | 1st S |
Statistical data analysis | 51001424 | 5 | 1st S |
Statistics Complements for Data Science | 51001459 | 5 | 1st S |
Applied Forecasting | 51001498 | 5 | 2nd S |
Big Data | 51001539 | 5 | 2nd S |
Internet of Things | 51001506 | 5 | 2nd S |
Network Optimization and Social Networks | 51001487 | 5 | 2nd S |
Optimization Models | 51001476 | 5 | 2nd S |
Project | 51001517 | 5 | 2nd S |
Curricular Unit | Code | ECTS | Period |
Dissertation | 50009161 | 60 | Annual |
Internship | 51001528 | 60 | Annual |
Project | 50009205 | 60 | Annual |