Scientific Director
Sotirios Bersimis,
Professor, Department of Business Administration, University of Piraeus
Target Audience
The Course is aimed at managers, senior executives of businesses and organisations, and professionals actively involved in strategic decision-making, the management of business operations and the design of organisational development and digital transformation initiatives. In particular, the Course is aimed at:
- Chief Executive Officers (CEOs) and General Managers.
- Senior executives and heads of business units.
- Directors and Heads of Department.
- Strategic Planning and Business Development executives.
- Innovation and Digital Transformation executives.
- IT directors and managers (IT Managers).
- Finance and Performance Audit executives.
- Human Resource Management executives.
- Business and organisational development consultants.
- Heads of digital transformation and innovation projects.
The Course is also suitable for entrepreneurs, owners of small and medium-sized enterprises, self-employed professionals and executives in the public or private sector who are involved in business planning, performance indicator monitoring, risk management, the implementation of innovation projects or the adoption of new technologies.
Participants should have an interest in and/or responsibility for improving organisational performance, using data for decision-making, introducing Artificial Intelligence technologies, managing change and enhancing the competitiveness and innovation of their organisations.
Admission Requirements
Participants must have:
- Higher education
- Very good knowledge of English
- Basic computer skills
- Internet access
- A personal email account
Holding a higher education degree (from a university or an equivalent Greek or foreign institution) is a key selection criterion.
Delivery Method
The Course is delivered exclusively in person in a classroom at the University of Piraeus. An attendance register is kept during the lectures, and Educational Material is provided that covers all the thematic units of the Course and includes: academic notes, lecture presentations, application examples, case studies, practical exercises, laboratory scenarios, worksheets, bibliographic references and scientific articles, as well as educational material on modern tools for Artificial Intelligence, Business Analytics, Predictive Analytics, Machine Learning and data-driven decision-making.
Successful completion of the Course requires attendance of all Teaching Units, passing the examination on the Course content and payment of the fees in full. In addition, total absences may not exceed 10% of the scheduled teaching hours
Type of Certificate
Trainees who successfully complete the Course are awarded a Training Certificate by KEDIVIM of the University of Piraeus or a Certificate of Successful Attendance.
See a sample of the certificate awarded here
