The world is increasingly dependent on algorithms and data to inform and support decision-making. Organizations, private and public, for-profit and not-for-profit, are keen to introduce data-driven systems and methods to support management functions but lack the knowledge and the people to integrate the new technologies and adjust their systems and culture to leverage them.
These organizations need translators – people who understand organizations and the managerial problems they face, how to use technology and leverage data to solve them, and how to set up internal and external systems that enable the required ecosystem.
The program curriculum is innovative and corresponds to the needs reported by all types of organizations, at a national and international level, and involves specialized and research-active teaching staff, most of them belonging to the school’s Research Unit, which was ranked Excellent in Research by Portugal’s Science and Technology Foundation.
With a collaboration with the Department of Computer Science of NOVA School of Science and Technology, the program brings together the technical and personal competencies of management with technology.
This multidisciplinarity is key to attract applicant profiles with a first cycle educational background in Sciences, Technology, Engineering or Mathematics, but also Economics, Finance or Management.
The Master’s in Business Analytics aims at the development of solid technical, organizational, leadership, critical thinking and communication competencies for future managers and leaders of organizations (public or private, for-profit or not-for-profit) in a context increasingly dependent on algorithms and hybrid (human-machine) systems for decision making. It is therefore focused on the education of translators, i.e., people who understand organizations and the managerial problems they face and know how to use technology and leverage data to solve them.
From bachelor’s programs with knowledge in mathematics and programming (at an entry-level of a 1st cycle program), i.e. science, technology/computer science, engineering, economics, finance, or management. For those with limited programming skills, it will be mandatory to attend the Python/Coding for the Business bridging course in August.
Keen on understand how to design and manage data-driven organizations, how to transform hard data into storytelling and frameworks that improve human decisions and inspire commitment.
That aspire to understand organizations and the managerial problems they face, how to use technology and leverage data to solve them, how to set up internal and external systems that enable the required ecosystem, and how to lead projects and interdisciplinary teams to solve complex problems and implement complex decisions leveraging data.
Aim at comprehending also on the limitations of data-driven decisions and the role of human cognitive systems and the ethical and legal constraints.