Master in Integrated Business Intelligence Systems (MIBIS)

The Master in Integrated Business Intelligence Systems was created in 2005 with the goal of training specialized professionals in Business Intelligence capable of managing, explaining, implementing and successfully using systems that support decision-making procedures integrated into the management of organizational information.

It is a differentiated course focused on an integrated view of Business Intelligence (BI) systems.

Since its creation, the program has continued to be the only option at the national level that integrates the various facets of BI from support to decision-making.

It aims to train professionals with skills in three key areas:

• Data Warehouse systems or analytical information systems;
• Data Mining or knowledge extraction in the areas of data science;
• Strategic BI (with application of balanced scorecard approaches and ABC/ABM-Activity-based costing/Activity-based management).

Alongside the academic component, the program connects its students to actual businesses through the use of real cases in teaching. Students also have the opportunity to obtain Master's scholarships for the realization of applied projects associated with real-world cases in international (H2020) and national research, as well as company sponsorships for the resolution of real-world problems and connection to the Laboratory of Open Data at CMLisboa and the Data of the IoT Laboratory of Iscte.  

There is great demand on the part of companies for professionals in BI, and a very limited supply of such professionals. Graduates in BI therefore have a high employability, as demonstrated in their higher-than-average salaries. These trained specialists will play a role of increasing intervention and value-creation in management and innovation processes in the fields of industry, service, and society in general in the coming years.

The Master in Integrated Business Intelligence Systems has also created opportunities in partnership with various companies, including a set of themed workshops. Examples of such workshops: pizza lunches sponsored by Inov on Saturdays under the theme "Tertúlia tec&ciência," with eight sections held in the year 2019:

• 1) Multicriteria Decision Analysis 4 Cybersecurity;
• 2) Dimensional Modeling: In a Business Intelligence Environment;
• 3) ETL and Data Integration: Improving Data Quality and Analytics;
• 4) Big Data Web Applications: Pentaho and UX to the Rescue;
• 5) High Performance Trading;
• 6) Machine Learning 4 Credit Risk;
• 7) Decision Analysis 4 Data Science;
• 8) Multicriteria Methods 4 Data Science

 

And two more workshops:

• 1) Health Care Workshop held in the JJLaginha auditorium on 30-10-2019;
• 2) Workshop on Intelligent Systems - Auditorium 2 on 18-10-2019.

Management

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