The Master in Industrial Management and Decision-Making (MGDI) aims to provide business and industrial specialists, through graduates whose skills allow them to support decision-making processes, a fundamental factor in strategic and long-term management.
The interest in this field has been recognized, particularly in industrial processes where the large generation of data is a reality, as consequence of technological advances. The creation of knowledge from these data, combined with knowledge in Management, is a gap that is often pointed out in the higher education. Because of that industry has been a fundamental partner in terms of research in this master's degree, either by providing data or by presenting challenges.
The interdisciplinary nature of MGDI is fully aligned with the Mission of ESTG and its research center (CIICESI - Center for Innovation and Research in Business Sciences and Information Systems). The MGDI is supported in two of CIICESI's major scientific areas (Management and Mathematics) and is aligned with its strategic plan, namely in the defined research areas, in particular, in Decision Making and Data Analysis.
Consult reports https://www.a3es.pt/pt/resultados-acreditacao/gestao-e-decisao-industrial
| 1º Year | ||
|---|---|---|
| Curricular unit | Period | ECTS |
| Strategy and Management of Organizations | 1st Semester | 5.0 |
| Financial Management | 1st Semester | 5.0 |
| International Supply Chain Logistics and Management | 1st Semester | 5.0 |
| Research Methods | 1st Semester | 5.0 |
| Industrial Modeling and Simulation | 1st Semester | 5.0 |
| Industrial Optimization | 1st Semester | 5.0 |
| Industrial Data Analysis | 2st Semester | 5.0 |
| Investment Project Evaluation and Funding | 2st Semester | 5.0 |
| Corporate Governance and Social Responsibility | 2st Semester | 5.0 |
| Quantitative methods | 2st Semester | 6.0 |
| Forecasting and Decision Making Models | 2st Semester | 6.0 |
| Business Networks and Innovation | 2st Semester | 3.0 |
| 2º Year | ||
| Curricular unit | Period | ECTS |
| Research Topics in Management | 1st Semester | 30.0 |
| Dissertation / Advanced Project | 2st Semester | 30.0 |
This master degree is aimed for holders of a degree in business sciences and mathematics or a cognate field. Therefore applications for this master degree will be considered from graduates in business sciences; economics; business; management; accounting; mathematics; statistics; operational research and engineering. In addition, applications may be considered from holders of degrees in related fields, with a professional, academic or scientific curriculum relevant for the study cycle, as long as approval is provided by the technical-scentific council of the school.
