Business Analytics and Data Science

Executive Master in Business Analytics and Data Science is a part-time, hybrid program (combining online and on-campus learning) conducted entirely in English. This exceptional opportunity opens doors to the forefront of innovation, unveiling the world of Big Data and data analysis. According to a groundbreaking study by MicroStrategy, over 70% of international companies are set to expand their data and analytics investments that opens the doors to those who sees their professional future in data-driven management.

In today’s competitive landscape, the ability to read, understand, and harness data is imperative for businesses seeking to thrive and excel in any industry. Focusing on generating value and outshining competitors, this master’s program equips ambitious leaders with the indispensable knowledge to drive innovation in their respective companies.

Designed for experienced professionals across diverse sectors, the Master aims to bolster data analysis skills. Geared towards proactive individuals eager to leverage data to gain valuable insights, the program empowers them to foster a culture of innovation.

Comprising 11 core courses, dynamic educational activities, real-life case studies, and hands-on laboratories, the curriculum provides a comprehensive learning experience. Engaging Digital Talks with international managers facilitate experience-sharing and the exchange of best practices. Additionally, Pre-courses on the fundamentals of STEM that will provide a necessary basic knowledge for the technical part
of master.

The program also includes Focus Sessions that address significant data-driven business challenges and themes. Two Residentials on Campus in Bologna, Italy—the heart of Data Valley—provides an enriching experience where participants interact with peers, professors, and the wider BBS community. Workshops, Leadership Talks, and Company Visits further expand and fortify their network.

Flexible in structure, the Executive Master accommodates busy professionals with a blend of evening online classes and Saturday morning sessions. Rather than putting careers on hold, participants can immediately apply the knowledge acquired in the program to drive their personal and professional growth.

Unlock the gateway to the world of data analysis, the future of businesses, and seize the opportunity to become a trailblazer in tomorrow’s management.

Secure your spot today by submitting your CV and completing the selection process.




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.

Elisa Montaguti

Elisa Montaguti

Academic Director

" Businesses today need to analyze available data and interpret it to make predictions and guide strategic choices. "

Gabriele Tazzari

Gabriele Tazzari

Executive Director

" Data is the fuel that drives innovation and fuels business growth in the digital age. "


Core courses

Eleven core courses are divided into 2 modules. The first technical module will provide tools and skills that will be applied during the second business module, 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.

Digital Talks

4+ opportunities for discussion with international managers. The purpose of the meeting is to share experiences, business cases and best practices.

Pre – Courses

Brief courses on the fundamentals of STEM that will provide a necessary basic knowledge for the technical part of master.

Focus Sessions

5 meetings with managers, experts and professionals on cross-cutting data-driven business challenges and topics such as: Design Thinking, Data Ethics, Cybersecurity, Sustainability and Privacy.

Residentials on Campus

Two on Campus (Bologna) Residentials (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.



During 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 Carolina

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 Sismeiro

The 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 Marco

This 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.

Beliossi Giovanni

Digital technologies are reshaping companies and industries. This dramatic change is forcing firms to adapt to and embrace this change. This course will help you staying ahead of this radical transformation by providing you with a more clear understanding of this new landscape and the strategic choices and tradeoffs it presents.

Nogueira Antonio Roberto Ramos

This course offers students the chance to understand and analyze data. We will explore the fundamentals of data exploration and we will apply these tools to business problems.

Christodoulou Kostis

The course deals with the assessment of the financial consequences of managerial decisions.
More in details, it tackles different aspects of the topic: the short term impact on profitability, the short term impact on the financial position, the long term impact on the economic value and the strategic impact of the decision.
This differentiated approach allows to manage the trade offs among different dimensions (profitability, financial position and strategy) in order to take more consistent decisions.
Furthermore, part of the program is focused on the exploiting of financial and strategic data through mathematical and statistical approaches with the aim of increasing the effectiveness of managerial decisions.

Visani Franco

This 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 Carolina

This 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 Francesco
Tazzari Gabriele

This course is designed for those who work with data and want to deepen their knowledge on ways to make effective visualizations and dashboards. You will learn how visual memory works, how to use different chart types appropriately in order to answer specific questions, and how to design dashboards using visual best practices. Key concepts will be explored using a hands-on teaching method, alternating between theory and practice.

Alberto Bertellino
Francesca Pigni

This course is designed to provide participants with an understanding of how artificial intelligence (AI) and machine learning (ML) can be used to create value in various business contexts. In this course, participants will learn how to identify opportunities to apply AI and ML in different business areas, such as marketing, finance, operations, and customer service.

Esposito Mark

Classe 2022 - 2023


Geografical Origin


    34|Average age

    10|Years of professional experience

    The Master is for:

  • managers, entrepreneurs, consultants working in different sectors and business areas, interested in using data to transform them into innovative strategies for their company.
  • time-constrained professionals who wish to improve or implement data analytics within their enterprise.
  • The Master’s program is open to graduates with more than 3 years of professional experience and non-graduates with at least 5 years of work experience.


Alisa Tarada

Risk Manager - Unicredit
EMBADS (Ed. 2023/2024)

"EMBADS is a good entry gate for businesspeople into the world of data, and a chance for tech professionals to improve their knowledge of the business environment. Python, R, machine learning techniques and statistical concepts are applied to the big datasets in different business dimensions with emphasis on practical skills, rather than theoretical concepts. Very passionate and engaged professors. Good value for money."

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 Business Analytics and Data Science gives the opportunity to interact with cutting-edge companies through the on Campus Residentials, the Digital Talks, Company Visits and the events dedicated to the BBS community, for which a specific digital platform has been designed to enable interactions between Alumni and ongoing participants.

This program has been co-designed with prominent companies to ensure its relevance and alignment with industry needs:


Programme Advisory Committee

Rosilari Bellacosa – Cofounder and R&D Director, SynDiag

Luca Collacciani – Vice President EMEA, Cloud Computing, Akamai Technologies

Giulia Gioppato – Regional S&OP and Demand Planning Manager, De’Longhi Group

Alberto Grignolo – Angel Investor

Sergii Goister – Business Development Director, Omega LLC

Gabriele Tubertini – Direttore Partecipate, Coop Italia

Gian Paolo Valenti – Head of Tech, Albert Heijn



During the Master, a series of seminars with head-hunters and HR managers are offered, to provide tools and resources to contribute to your career development and how to enter the job market in leadership positions.

Once the Master is ended, it is possible to join the activities dedicated to the Community, to further increase your own network. Furthermore, meetings open to the entire BBS Community are periodically scheduled with managers, entrepreneurs and guests, focusing on the different scenarios of a constantly evolving society and market.


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.

Reduced fee available for very early-bird enrollment before June 30, 2024.


For further information, please contact



Companies that make investments in education 4.0 aimed at the acquisition or consolidation, by the company’s employees, of skills in the technologies relevant to the implementation of the process of technological and digital transformation can take advantage of the tax credit in 2022 provided by the “National Plan Enterprise 4.0”.  For more information, click here .


Special terms are available thanks to Interprofessional Funds:

Fondimpresa funds training activities aiming at supporting product and/or process technological innovation for SME’s in the manufacturing industry. Click here for further information.


The selection process will feature the analysis of the Curriculum Vitae followed by an entry test and an individual interview, the aim being to identify the candidate’s professional profile and its consistency with the participation to the Master. 

To access the selection stage for the Master please send your Curriculum Vitae to





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