Data and Digitalisation

The aim of teaching is to equip learners with the knowledge and skills required to apply data, digital technologies, and analytical methods in business and organisational contexts. Across programmes, there is a strong emphasis on data-informed decision-making, digital transformation, and the practical application of digital solutions.

Core competences developed through teaching activities

• Data-based decision-making and leadership
• Business intelligence and quantitative data analysis
• Data management
• Digital innovation and transformation
• Digital ecosystems
• Application of artificial intelligence in organisations
• Use of data in digital business environments

Our teaching spans a range of microdegree studies, including Digital Innovation, Transformations and Resilience, Data-Based Decision Making and Leadership, Data-Driven and Circular Business Transformations, Business Intelligence – Applied Quantitative Data Analysis for Quality Improvement, Applied Data in the Digital Business World, Data Management, and Digital Ecosystems.

In addition, executive training programmes such as Tehisintellekt organisatsiooni võimestajana and Tehisintellekt organisatsiooni võimestajana edasijõudnutele support professionals in applying artificial intelligence to organisational development and decision-making.

The team also contributes to international learning initiatives, including the EBS International Summer School on Digitalisation and Sustainability.

Doctoral dissertations completed: 

• Maryna Averkyna (2023) Situation Similarity Calculus Based Modeling of Decisionmaking Process in Urban Transportation Management
• Andrew Adjah Sai (2020) A Process-Trace of Selected Innovation- and Technology-Led Economic Growth Factors and Their Implications for Estonia´s Economic Development
• Ágnes Kasper (2015) Multi-Level Analytical Frameworks for Cyber Security Legal Decision Making
• Jüri Kivimaa (2013) A Cost Optimizing Model for IT Security
• Günter Christian Czosseck (2012) An Evaluation of State-Level Strategies Against Botnets in the Context of Cyber Conflicts

AI4Gov Accelerate (AI4Gov-X) led by Politecnio Di Milan and Universidad Politécnica de Madrid with an overall budget over 20 M, aims at shaping the future of Artificial Intelligence in public governance. Co-funded by the European Union (HaDEA agency) and led by top Higher Education Institutions (HEIs), this four-year project explores how AI can enhance policy development while upholding democratic values. Among other activities, it will develop and deliver a master's programme on AI for government officials to become. 

The European University on AI in Curricula, Smart UniverCity and (Return) Mobility (EUonAIr) – European University Alliance of 10 business and technical universities dedicated to creating a new responsible and collaborative AI model in education. The project has a budget of 15 M euros. This alliance aims to reshape learning, research, and working methods, aligning them with the current and future requirements of our educational systems and wider ecosystems. 

Equipping Knowledge Workers in Support Functions with AI Skills in Finland and Estonia (FinEstAI) – a partnership addresses a growing challenge faced by pre-retirement knowledge workers in support roles—HR, administration, finance, and assisting positions—who are increasingly at risk of job displacement due to AI adoption. These professionals, largely women nearing retirement age, play key roles within organizations but often lack essential AI skills to ensure future job security. FinEstAI’s primary goal is to equip support workers across Finland and Estonia with essential AI skills, enhancing their employability and job stability. This group includes unemployed, part-time, and currently employed individuals who need AI skills to secure their future roles. Upon completion of the FinEstAI program, participants will earn a certification, issued by the program partners, enhancing their qualifications for the evolving labor market. 

The Nordic Hub AI University Network (Nordic AI Hub) is a collaborative initiative that connects universities across the Nordic and Baltic regions to foster innovation, knowledge sharing, and collaboration in the field of artificial intelligence (AI). This network brings together researchers, educators, students, and administrative staff to explore AI’s potential in teaching, research, outreach, and administration. 

Defence Sector Artificial Intelligence Hackathon 2025 - The goal of the hackathon is to give participants the opportunity to further develop their ideas or technology and apply it in real-world scenarios. Over the course of this 72-hour intensive development sprint, experts from both the defence sector—including the Ministry of Defence, Estonian Defence Forces, the Estonian Defence League and defence companies —and the civilian sector—including universities, colleges, and IT companies—will come together to create and advance AI-based solutions which make defence-related processes faster, more efficient, and more reliable.  

Deep Tech European Venture Builder (De-TECH) is a European collaborative project led by Universidad Politécnica de Madrid and funded by the European Institute of Innovation and Technology – Higher Education Initiative (EIT HEI) that seeks to close the gap between university research and the market. It supports the creation of startups based on advanced technologies such as artificial intelligence, biotechnology, and quantum computing.