The graduate will acquire the skills to analyze vast economic-technical and bio-economic datasets. They will be proficient in assessing interconnections within data and interpreting intricate results from statistical analyses within a broader framework. Additionally, graduates will possess the capability to develop, validate, and implement optimization models for decision support.
Graduates will attain a well-rounded education in applied quantitative methods, empowering them to establish a versatile interdisciplinary profile with intersections in economic, technical, and bio-economic sciences.
Graduates will be well-suited for analytical and managerial roles within financial institutions, consulting firms, corporate settings, or academia. Employment opportunities include positions such as independent researchers in academic or scientific research institutions, senior analysts, consultants, statistical experts, data analysts, risk management managers, and programmer analysts.
Summary of Minimum Requirements:
- Research Activities
- Presentation of at least one paper at a scientific conference
- At least 1 publication in a Scopus database-indexed journal and 1 publication in the Web of Science database with a non-zero impact factor
- International Research Collaboration, Involvement in International Research Teams/Projects, Research Visits
- A month internship abroad with a focus which corresponds to the topic of the dissertation and the internship is included in the subject International Activities. This subject can also be fulfilled by participating in an international research project with published results or presentations abroad
- Other Study-Related Liabilities
- A teaching contribution