Business Analytics and Data Science

The part-timehybrid (part online, part on Campus) and English-taught Executive Master in Business Analytics and Data Science is the passe-partout to enter the world of innovation, Big Data, and data analysis techniques and technologies. Knowing how to read, understand and use data is a must for all companies aiming to increase competitiveness and improve performance in any sector, focusing on the value generated and differentiation from competitors. It is a growth opportunity for those who want, by learning today’s essential knowledge, to become leaders in forward-looking companies.

It is a study path that aims to provide both managerial and procedural skills, tools to capture and understand data, and a language to bridge the more technical areas and the company. It is a study program that provides knowledge in analytical and cognitive areas, to better manage business problems and accelerate the company’s growth.

The Master’s course is designed for people coming from data processing, project, and consultancy jobs, and for those who are part of technical staff and want to move from a narrow working context to the mediation, management, and organization of analytical and customer departments.

The program is structured with 10 core courses, teaching activities with frontal lectures, real cases, and discussions; Digital Talks, meetings with international managers to share experiences and learn best practices; Crash Courses on Python and Data Mining, an introduction to the fundamentals of the programming language and data mining; Focus Sessions on important data-driven business challenges and topicsResidentials on Campus, 2 Thursdays, Fridays and Saturdays in Italy to interact with colleagues, faculty and the entire BBS world: HackathonsLeadership Talks, and Company Visits will be an opportunity to expand and strengthen your network.

With a flexible formula, alternating evening and Saturday morning classes, the Master’s course is tailored for those who do not want to put their careers on stand-by, but aspire to grow with a specific and immediately usable learning program.

The Executive Master in Business Analytics and Data Science is a gateway to the world of data analytics, to the future of business, and to become the managerial leader of tomorrow.

Secure your place by sending 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



Core courses

Ten core courses provide specific tools and skills. The teaching activity includes lectures, case studies and discussion opportunities.
At the end of each core course there will be an exam to assess the participants’ learning level. Every course contains Technical Workshops that will allow the participants to play with data.

Digital Talks

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

Crash Courses

Brief courses on the fundamentals of Data Mining and Python
programming language. You will learn how to understand data mining and how to represent and store data using Python data types and variables.

Focus Sessions

4 meetings with managers, experts and professionals on
cross-cutting data-driven business challenges and topics such as: Design Thinking, Business Ethics, 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 Hackathons, Leadership talks, and Company Visits at prestigious companies that are part of the School’s Business Network.

Project work

One project developed in small groups by the participants, putting into practice the knowledge acquired. The project works are developed with the support of the Faculty and are presented on the final day of the Master’s.



A brief course on the fundamentals of the Python programming language. You will learn to represent and store data using Python data types and variables.

Tazzari Gabriele

This course will share the prospective on how technology-driven world is operating. During the course you will be shown what are the challenges, that you need to confront. You will find yourself in the future, with your prospective that you can use to anticipate the change rather then being a follower in this new technology world.

Tubertini Gabriele

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.

Montaguti Elisa

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.

Nielsen Christian

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 data mining 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.

Boscato Cristiano

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

Security, sustainability, privacy, these just some of the factors that might influence firms’ effective use of data. This course will cover these challenges and will provide some insight on how data exploitation can be secure, respectful of privacy need and sustainable.

Tubertini Gabriele

Classe 2022 - 2023


Geografical Origin

Professional Sector

    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.


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 smart week, the Digital Talks, 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 Executive Master was developed with companies through co-design. The companies involved:

Accenture, Amma Gamma, Bip, Capgemini, Cineca, Credem, Dedagroup, Diennea, Dune, Engineering, Eos, Euris, Expert AI, Gellify, Hera Group, Horsa, HSPI, Iconsulting, Injenia, Maps Group, Onit, Orienteed, Porini, Sarce, Schneider Electric, SCM Group, SCS Consulting, Team System, Var Group, Webranking


The registration fee for the Master’s course on a company basis is 17.900 Euros + VAT.

The registration fee for the Master’s course on an individual basis is 14.900 Euros + VAT.

Reduced fee available for very early-bird enrollment before 30th of April, 2023.


The registration allows to:

  • Access to the Moodle platform and teaching materials
  • Participation to the BBS Community events
  • Wi-Fi
  • Access to the AIDA database for companies

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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