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At a time when companies are investing in Artificial Intelligence but struggle to generate value, skills make the difference.
This Master trains professionals capable of designing, managing, and implementing AI and data-driven projects, combining managerial vision, a data-driven mindset, and practical tools.
It is designed for those who want to turn knowledge into real impact — for themselves and their organization.
In a market increasingly dominated by AI and data, businesses need professionals who can translate technological innovation into business value.
The Executive Master in Data Management provides technical, organizational, and strategic skills to design, manage, and implement data-driven and AI-ready projects in a concrete and measurable way.
With a flexible, practice-oriented approach, the program combines online classes, Smart Weeks on Campus, and workshops with international leaders, fostering a collaborative mindset ready to embrace change.
Program Advisory Committee
Accreditation
Bologna Business School is EQUIS (EFMD Quality Improvement System) accredited, one of the most important international quality assessment and continuous improvement systems for Schools of Management and Business Administration.
Pre – Courses
A short course on the fundamentals of STEM subjects that will provide you with the basic knowledge needed for the technical part of the master’s program.
Core courses
12 core courses. The first technical part will provide tools and skills that will be applied during the second business part, which will focus on how to leverage data in the various sectors of the business.
Teaching activities include lectures, case studies and technical labs. An exam is scheduled at the end of each course to assess the participants’ level of learning.
Data Talks
4 opportunities for discussion with international managers. The purpose of the meeting is to share experiences, business cases and best practices.
Focus Sessions
6 meetings with managers, experts and professionals on cross-cutting data-driven business challenges and topics such as: Design Thinking, Data Ethics, Privacy and Data Protection, Future of Business Platforms & Ecosystems and App Prototyping.
Smart Weeks on Campus
2 on Campus (Bologna) Smart Weeks (Thursday, Friday and Saturday) allow the participants to strengthen the value of personal interaction with the classmates and faculty. You will take part in Workshops, Leadership talks, and Company Visits at prestigious companies that are part of the School’s Business Network.
Project work
The core of this master’s program is Project Work—a remarkable project to apply the skills and knowledge gained throughout the course. Working in small groups, participants will take a raw data set and turn it into a thriving business project, guided and supported by a team of experts.
The aim of the course is to introduce the fundamental concepts of statistics, mathematics, probability, and computer science necessary for data analysis. The course begins with a general introduction to data analysis and descriptive statistics, followed by an exploration of key topics in linear algebra and probability.
Aldo GardiniThis course will be focused on where data is stored, where are data housing and data lakes, what do all different domains do and mean and how we can relate to them. During this course you will understand how they change the way we do business and will get to know the potential barriers that data storage can generate in your business.
Puppini FrancescoDuring this course you will learn how to use Python to analyze data, automate tasks, and create visualizations that can help you make better business decisions.
Beretta CarolinaThis course will cover the fundamental of machine learning for medium and large dimensional data sets. During the course you’ll explore how different methods can be used to analyse data, classify information and make predictions. This course will also provide you with some understanding on how some machine learning tools can operate.
Beretta CarolinaThis intensive course provides essential cybersecurity principles specifically tailored for Data Management professionals. Moving beyond general IT security, this course focuses on the unique challenges of protecting large-scale data assets, which are often the primary target of cyberattacks. Students will explore the modern data threat landscape by analyzing real-world attack scenarios and case studies. They will also learn the technical controls required to secure data infrastructure. The curriculum covers databases, data warehouses, and cloud environments, emphasizing practical, proactive defense techniques such as encryption, anonymization, access management, and API security. The course will provide the students with a clear framework for responding to a data breach and fostering a robust, security-aware culture within their teams.
Gianluca GaiasThis executive-level course is designed to equip senior decision-makers, executives, and leaders with a comprehensive understanding of large language models. Participants will explore the fundamentals of large language models, with a focus on GPT models, gain insights into their applications and key implementations, and examine emerging trends and future developments in artificial intelligence.
Belli AndreaThis course is designed for professionals who work with data and want to enhance their skills in creating effective visualizations and dashboards. You will learn how visual memory influences data comprehension, how to choose the most appropriate charts to answer specific questions, and how to design dashboards following best practices in visual design.
In addition to exploring the fundamental theories of Data Visualization, you will have the opportunity to immediately apply what you learn using Tableau, one of the most powerful and widely used tools in the field of Business Intelligence. By the end of the course, you will be able to design and create interactive Tableau dashboards that not only tell a story but also support data-driven business decisions.
The course follows a hands-on methodology, combining theoretical explanations, practical demonstrations, exercises, and group work to ensure active learning that can be applied immediately.
Emma MarlerThis course is designed to equip participants with the essential skills and knowledge required for managing artificial intelligence (AI) within the context of business innovation. It aims to systematically guide learners in understanding, embracing, and capitalizing on the transformative potential of AI to redefine business futures. The first part of the course focuses on AI and different aspects of business innovation, such as products, services, processes, organizational structures, and business models, and the exploration (sensing, seizing and implementing) of business opportunities related to AI. The second part, explores the role of AI in enhancing various stages of the Business Innovation pipeline, providing practical insights into leveraging AI for business evolution.
Balzan Francesco
Today’s digital technologies and devices such as smartphones, smart products, the Internet of Things (IoT) provide companies with abundant data about consumer behavior prior, during and post transactions. This course explores how to extract useful information from relevant data to garner important insights to guide more effective decision making.
Catarina SismeiroThe digital transformation is determining significant changes in operations and supply chain management (SCM) processes. Technologies such as Internet of Things (IoT) and Cyber Physical Systems, artificial intelligence (AI), robotics, cyber security, data analytics, block chain and cloud technology are radically transforming production and distribution systems. This course aims to investigate these transformations to understand the firms’ ability of gathering and analysing information about their environment can generate significant value to the SCM processes.
Bortolini MarcoThis course explores the ways in which new technologies are re-shaping the financial services industry. The course will provide insights on how blockchain, AI and deep learning can affect the financial industries. Students will also gain an understanding of how these technologies can affect the competitive landscape of the financial sector.
This course is designed to provide a comprehensive understanding of the transformative power and ethical considerations of AI in modern business practices. Participants will explore the evolution of AI, delve into current trends and technologies, and understand the implications for future business models. With a focus on both theoretical knowledge and practical application, this program covers the ethical dimensions of AI, the regulatory landscape, and strategies for integrating AI responsibly into business operations.
Aurelie JeanThe course introduces the principles of the cloud as an enabling infrastructure for data management and analysis. It will illustrate the scalability, security, and integration logics that enable companies to make their data more accessible, manageable, and ready for use in decision-making processes. The goal is to understand how the cloud transforms data into a strategic resource, supporting innovation and operational efficiency.
Tazzari GabrieleFaculty members at Bologna Business School work together offering outstanding teaching standards. An international and interdisciplinary approach is guaranteed by a joint team of distinguished national core professors, adjunct, visiting professors, guest speakers and top managers.
Aldo Gardini
Fixed-Term Researcher
Department of Statistical Sciences at the University of Bologna
Aurelie Jean
Chief AI Officer, co-CEO, co-founder
INFRA
Francesco Balzan
Expert in Innovation Processes and Digital Transformation
Z-Inspection
Andrea Belli
Head of R&D
expert.ai
Carolina Beretta
Senior Machine Learning Engineer
Elastic
Marco Bortolini
Associate Professor of Industrial Mechanical Systems Engineering
University of Bologna
Catarina Sismeiro
VP Marketing and Communications
Capgemini Italia
Emma Marler
BI Consultant & Trainer
Visualitics
Mark Esposito
Visiting Professor of Strategy
Bologna Business School
Francesca Pigni
Information Design Manager and BI Consultant
Visualitics
Gianluca Gaias
Chief Security Officer
Technogym
Lorenzo Massa
Full Professor
Aalborg University Business School
Pamela Gotti
Chief Technology Officer
Credimi
Francesco Puppini
Business Intelligence, Data Modeling, and Data Warehousing Specialist
Gabriele Tazzari
Technology Strategist and Consultant
Katsiaryna Lukashenak
Product Manager - Box.com
EMBADS (Ed. 2023/2024)
"The Master gave me a solid foundation in data analysis, statistics, and machine learning, and the chance to apply it in real-world projects. Professors were expert, supportive, and passionate. A perfect mix of theory and hands-on learning for my career."
Alisa Tarada
Risk Manager - Unicredit
EMBADS (Ed. 2023/2024)
"IT is a great entry into data for businesspeople and a chance for tech professionals to improve business knowledge. Focused on practical skills like Python, R, and machine learning, with passionate professors. Excellent value."
Giulia Gioppato
Regional S&OP and Demand Planning Manager - De Longhi Group
EMBADS (Ed. 2022/2023)
"The EMBADS is an opportunity to enhance knowledge in data science that are immediately applicable, with a constant exchange of views with professionals from various sectors. In a world that is more and more data oriented, it is crucial to learn how to manipulate data to have the information needed to make business decisions."
Christoph Salazar
Senior Data Analyst - Samsung Electronics Austria
EMBADS (Ed. 2022/2023)
"This master offers a great balance between hands-on data science and analytics workshops, theoretical lectures and discussions focusing on managerial decisions. The different backgrounds of the students as well as the competent lecturers made it a very valuable professional experience."
The Executive Master in Data Management is a people-centered program that fosters relationships and a valuable international network through continuous opportunities for exchange and discussion among participants, faculty, companies, and the School’s community, combining online activities with on-campus experiences.
The Executive Master in Data Management is designed to develop specialized, managerial, and leadership skills, with a strong focus on practical application in corporate environments.
Numerous companies have actively contributed to the Master by participating in its design, enrolling their managers, providing content, testimonials, and project contributions, and choosing it as a tool for enhancing and developing their key resources.
Thanks to ongoing collaboration with businesses, the program defines targeted learning objectives and content that are closely aligned with the real needs of the market.
ACCENTURE AMMA GAMMA BIP BRT CAPGEMINI CINECA CRÉDIT AGRICOLE ITALIA CORPORATE BANK CREDEM DEDAGROUP DIENNEA DUNE ECOILS GLAM ENGINEERING EOS EURIS EXPERT AI GELLIFY HERA GROUP HORSA HSPI ICONSULTING INJENIA LAB ID LIMACORPORATE MAPS GROUP ONIT ORIENTEED PORINI SARCE SCM GROUP SCS CONSULTING SCHNEIDER ELECTRIC TEAM SYSTEM VAR GROUP WALTER SERVICES GROUP WEBRANKING
During the Master, a series of seminars with headhunters and HR managers provides participants with tools and resources for professional growth and positioning in leadership roles. At the end of the program, participants can join the activities of the Community, expanding their network through meetings with managers, entrepreneurs, and guest speakers who explore the ongoing changes in the world of work. Among these initiatives, Alumni Mentoring stands out: alumni offer personalized support to participants, sharing experiences and strategic advice in an intergenerational dialogue that strengthens the network and continues beyond the Master.
The registration fee for the Master’s course on a company basis is 18.200 Euros + VAT.
The registration fee for the Master’s course on an individual basis is 15.200 Euros + VAT.
Scholarships and Financial Aid
Financing and Payment Plans
Professional Funds and Corporate Welfare
For further information, please contact emdata@bbs.unibo.it
For individual access to the Master’s program, two financing options are available:
“MERIT” LOAN – BANCA INTESA
No collateral required
Special interest rates
24-month grace period with repayment over 30 years
To qualify, you need a degree score of at least 95/110, residence in Italy, and enrollment in the Master’s program.
“FUTURIAMO” LOAN – BANCA BNL
Special interest rates
Repayment period of 10 years
Option to delay the first payment for up to 36 months
For more information, email us at emdata@bbs.unibo.it
Special terms are available thanks to Interprofessional Funds for italian companies:
Fondimpresa – for executives / middle management
Fondo Dirigenti PMI – for executives in small and medium-sized industrial companies
Fondirigenti – for executives
Fon.Coop – for cooperative companies
Investing in your education is a crucial step for your professional future. Bologna Business School offers a range of scholarships and benefits designed to recognize merit, support talent, and encourage the participation of professionals and companies.
If you are applying as an individual, you can access several limited scholarships, awarded based on specific criteria.
Submit your CV to the Admissions Team at emdata@bbs.unibo.it to explore the scholarship options available to you.
Additionally, if you are connected to our Alumni network, you can benefit from further advantages:
Note: Scholarships cannot be combined.
Companies wishing to invest in the training of their employees can benefit from advantageous conditions based on the timing of registration:
Note: Early Bird conditions are valid for registrations made within the specified dates.
Scholarships are awarded during the selection process, based on a first-come, first-served basis, and an evaluation of your CV in relation to the eligibility requirements for each scholarship.
Is this the right Master for me? How can I find out?
This Master is for managers, professionals, and consultants who want to lead AI and data-driven projects with practical impact, develop technical and managerial skills, and learn from experts in real business contexts. Explore the program, attend info sessions, or contact our Team to see how it prepares you to return to your organization with ready-to-use tools and strategies.
The selection process includes an admission test, an evaluation of your Curriculum Vitae, and an individual interview to assess your profile and alignment with the Master.
To apply, please send your CV to emdata@bbs.unibo.it.
After receiving your application, we will contact you to schedule the test and interview. The selection process is not binding for enrollment and will evaluate eligibility requirements (educational background and work experience), your profile, and your development goals.
The Master is open to graduates with more than 3 years of professional experience and to non-graduates with at least 5 years of work experience.
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Telefono: +39 0512090143
Whatsapp/Viber: +39 3316276726
Email: emdata@bbs.unibo.it
