Artificial Intelligence and Innovation Management

Interpreting reality


The Master in Artificial Intelligence and Innovation Management aims to train new managers protagonists of digital innovation.

Under the patronage of Lab Cini, leader of academic research in computer science and Information Technology, this Master provides a cross-disciplinary training, capable of matching cutting-edge technical knowledge and managerial skills.

Bologna aspires to become an Italian reference for the AI world, thanks to its Tecnopolo, home of the Leonardo supercomputer, and CINECA, an interuniversity consortium and the most important supercomputing center for Italian and international scientific research. Since 2023, the city has hosted AI FAIR, the first international fair on Artificial Intelligence. The Master in Artificial Intelligence and Innovation Management becomes, also through its connection with Bologna and the global BBS network, a privileged gateway to the world of innovations built on the artificial intelligence development.

Computer vision, machine learning, big data for industry 4.0 are combined with lectures on blockchain finance and digital tranformation to make a study path of management concepts in a new key immediately expendable, able to respond to the international market requests.
English-language, full-time 12-month, with 500 hours of internships in leading BBS partner companies, the Master in Artificial Intelligence and Innovation Management is a real springboard for a career in technology markets with a placement rate of more than 95% six months after the end of the course.



Young graduates with excellent English skills eager to join the business world of technology development. Knowing how to manage innovations and to communicate with the different business departments is the key to the success of tomorrow’s managers. Through this Master you will acquire all the fundamental technical knowledge needed to deal with the digital revolution under way in companies, without losing the focus on the managerial and executive sides of the business.



Technology Project Manager, Digital Innovation Consultant and Arificial Intelligence Specialist are just a few of the most required roles in the market, to which this program offers a concrete answer. The world of new technologies demands young professionals ready to make a difference. BBS Career Service is always available to help students design a career path that leads to an excellent position in the business world.

Companies need to rely on managers who can visualize new scenarios. Contact the master Program Manager to begin this pathway.



Bologna Business School provides student support services included in the tuition fee for the Master.


With the Patronage of Lab Cini AIIA

In collaboration with

schneider_LIO_Life-Green_RGB    Master Digital Technology_Spindox




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.

Maurizio Gabbrielli

Maurizio Gabbrielli

Director of Studies

" Artificial Intelligence is deeply transforming any aspect of our life, including our jobs and our business activities. Ranging from deep learning theory to Industry 5.0 applications, this master will focus on the main techniques and tools which are at the heart of this transformation, explaining their potentialities and illustrating their use in the production systems of many innovative companies. Together with an advanced technical knowledge of new AI techniques, the master will provide the management skills which are needed to turn these techniques into business opportunities and to tackle the emerging challenges for enterprises. "

CLASS PROFILE A. Y. 2023/2024



  • 26 y.o.


  • 81%


  • 15


  • 29%



The Master in Artificial Intelligence and Innovation Management is a full-time program structured in 1,500 hours of learning activities over 12 months of study, divided into: 400 hours of lecturing, an estimated 600 hours of independent study, and 500 hours of internship.

The structure of the Master is divided into:

  • First term: October 2024 – March 2025
  • Second term: March 2025 – June 2025
  • Internship: June 2025 – October 2025

The two terms are followed by an internship period of 500 hours. This internship can be carried out at various companies and agencies in Italy or abroad. Students will have the chance to put into practice the theory and techniques learned during the two academic terms and have the opportunity to directly learn from professionals of their specific sector.

At the end of the internship you will be required to hand in a ‘Final Report’, which you will present to the Director of Studies showcasing your activities and analyzing the theories and lessons learned during the academic part.

Students who are interested can also choose to take an extracurricular course of Italian.

Classroom participation is about 30 hours per week structured in order to allow time to work in groups, while not neglecting individual students focus and management of interpersonal relationships.



The course aims to explore the principles of financial statement analysis. It provides the participants with a framework to understand how businesses’ value and risks are captured in financial statements and price them correctly.

Dal Maso Lorenzo

Big Data is a big challenge in today’s world. Companies and public entities urgently need to manage the acquisition, presentation, sharing, analysis and visualization of data.

The first module starts with a general overview of the Data Revolution and Industry 4.0 and then jumps into the world of technologies and architectures provided by the main cloud and technology vendors. In the second part, the course explores how to use structured and unstructured data at their best, so to jump in the “AI world” to get insights to provide support to business decisions, with some case studies.

Baffetti Federico

The course will detail typical operations management issues by taking a quantitative approach for supporting decision-making processes. The main topics covered in the course will focus on the modelling and simulation of the organizational processes aimed at supporting companies’ strategy implementation. In particular, the course grounds on the principles of system thinking to help participants to model and to understand the dynamic interplay among people, decisions and resources involved in companies’ operations. The aim of the course is to hone decision-makers’ capabilities to capture the deep causal structure that generates events and phenomena thereby foreseeing long-term consequences of decisions and actions. In the course, participants will learn how to build a computer model of complex organizational processes in order to conduct “what-if” and scenario analysis.

Mollona Edoardo

Today it is crucial to be able to use data for making better marketing decisions. This is possible by better understanding, predicting and managing customers’ behavior in a landscape where customers and brands (firms) are decision makers. This course focuses on the applied use of various techniques/methods, theories and approaches from marketing literature in practical business cases. In more particular words this means exploring, investigating and predicting behavioral and attitudinal (customer) data to provide data-driven answers to relevant marketing questions

Konus Umut

The aim is to provide basic knowledge concerning the main concepts and principles of computer security (e.g., risk, tools for risk assessment and evaluation, attacks and their typical structure, resources, functional systems requirements, human component). In this way, the course will provide the basic tools for the design and implementation of reasonably secure systems. During this process, either methodological, technological and behavioral aspects (i.e. operation security) need to be considered.

D’Angelo Gabriele

Artificial intelligence (AI) is a discipline whose goal is to realize this dream through the use of a wide variety of techniques, from logic-based symbolic computation to sub-symbolic models inspired by the structure of the brain, such as neural networks. This course will provide an introductory overview of the various existing artificial intelligence techniques, focusing on industrial applications, discussing future challenges and opportunities, and also addressing some of the social, economic, and ethical implications.

Gabbrielli Maurizio
Roberto Amadini

This course provides an introduction to the basic principles and methods of Data Mining and Machine Learning, with emphasis on Classification, Clustering, Association Rules, Outlier discovery. Analysis of the main problems related to data quality and data transformation. Python will be used as part of the course to solve machine learning problems.

Sartori Claudio

The course get the focus on the relevance that Artificial Intelligence software have in the development of strategic companies activities like customer care, processes automation and information management. Lessons give an overview on how Industry 4.0 companies may use Artificial Intelligence for their businesses, covering a wide range of tasks in Natural Language Processing such as sentiment analysis, topic classification and dialogue systems.

Belli Andrea

Neural networks are a class of machine learning algorithms, originally inspired by the brain, structured in layers of interconnected artificial neurons.

The network can be trained on data to optimize its connections to a specific task.

Deep neural networks, that is networks with multiple internal (so called hidden) layers, have recently seen a lot of success at practical applications. They’re at the heart of production systems at companies like Google and Facebook for image classification, speech recognition, natural language processing, language understanding or robotics.

The course gives an overview of the foundational ideas and the recent advances in neural nets, explaining the potentialities of the topic for practical purposes. We shall cover supervised and unsupervised techniques, methods for visualizing and understanding the behavior on neural nets, as well as adversarial techniques to fool them. We shall also hints to recent applications in the field of reinforcement learning, and some amazing results in game simulation.

Asperti Andrea

Computer vision pursues understanding the content of digital images through a large corpus of techniques drawing from a variety of diverse fields. These include, among the others, signal and information theory, calculus, geometry and linear algebra, probability and statistics, optimization, machine learning.


Computer vision has emerged through the last three decades as a key process technology to realize inspection and assembly of manufactured goods. Moreover, thanks to recent breakthroughs in image sensing and analysis, we now witness ever-increasing deployment of computer vision within products as widespread as  cars, gaming consoles, apps, personal computers, home appliances.


The course will present an overview of some of the most effective computer vision techniques alongside with examples dealing with both “in process” and “in product” applications.

Di Stefano Luigi

The course is focused on understanding of the opportunities arisen from digital transformation, in terms of innovative business models for companies and new value for users. Specifically, the course will deepen technology forecasting and technology roadmapping methodologies, applied to emerging digital trends, focusing on Fintech, IoT and Artificial Intelligence.

Meoli Azzurra

The activity is aimed at proposing innovative business processes focused on digital technologies and new business models.

The course provides the application of the skills students improved during the classes by developing a practical project based on a real company case.

Companies involvement will be one of the pillars of this course. Companies will assign the project guidelines to the students, building them around the class profile, and will supervise the development of their projects, giving help if needed.

Boscato Cristiano

The course will give some insights of Decision Support Systems from two orthogonal perspectives: an optimization-based approach, based on symbolic AI (1st part) and a data-driven approach, based on sub-symbolic AI (2nd part).
Upon completing the entire learning process, students should be able to:
• get an overall idea of what DSS are, and how to handle them from different perspectives
• identify decision problems addressable with a data-driven approach
• know the basics of modeling with constraints and MiniZinc

Roberto Amadini

The digitization of the economy is one of the most relevant issues of our time. The objective of this course is to analyze how digital economy has fundamentally challenged traditional business models and created new business opportunities. We will start with a brief introduction of the digital economy and then analyze the specific business strategies adopted by the different players in this ecosystem, specifically platforms. We will also discuss the implications for public policy and regulation. In particular, we will consider whether new business practices and contracts in the digital economy are beneficial or detrimental to society. Real case studies related to Amazon, Airbnb,, Facebook, Google, Uber, and others, will be analyzed.


The course focuses on the finance aspects following the life cycle of young and innovative ventures from their start-up. These young ventures usually require substantial outside financing in early stages to eventually create employment, growth, social contributions and tax revenues in their future. Bank financing is hardly available for these ventures and therefore, all funds need to be raised from other sources, e.g. friends and family, business angels, or from professional financial intermediaries, so-called venture capital and private equity funds. Besides those traditional channels, ventures can raise funds from “the crowd” using digital platforms (crowdfunding) or blockchain-based technologies (ICOs).

Groh Alexander

The course discusses some relevant themes related to blockchain technologies, cryptocurrencies, ICOs, smart contracts and novel applications that can be built over the blockchain. Bitcoin and novel cryptocurrencies gathered momentum in the last months. More and more investors look with interest at these technologies, while others label them as a dangerous speculative bubble. The truth is that the blockchain, and the alternative implementations of a distributed ledger, represent very innovative technologies, that can be exploited to build novel distributed applications. Moreover, the possibility of creating smart contracts, running on top of the blockchain, permits trusted interactions and agreements among different (and possibly anonymous) parties, without the need for a central authority. This course will illustrate the main principles and conceptual foundations of the blockchain and smart contracts.

Ferretti Stefano

This course is a natural continuation of the Machine Learning course. It provides guidelines for running a Data Mining process and then discusses, with practical examples, the complete pipeline from data to machine learning concepts.
In particular, the following topics are covered:

  • The functions of Data Mining.
  • Supervised and unsupervised learning.
  • Algorithms and methods for constructing classification models.
  • Clustering algorithms.
  • Algorithms for discovering association rules.
  • Methods for evaluating the quality of data mining results.

Principles are introduced in class with presentation of slides and stimulating discussions with students. Methods are then applied with laboratory exercises.


Francia Matteo
Gallinucci Enrico
Sartori Claudio

The course deals with the digital revolution in telecom services. It presents the telecom service paradigms and discusses the opportunity and chalenges of integration introduced by the digital transformation of the communication. Then the most recent technologies supporting the modern telecom service paradigm are discussed, from network softwarization to IoT network architectures and service deployments.

Di Felice Marco

The course analyzes the legal framework of the rights of the person when dealing with technology, the protection of personal data, the intersection between person and market in the face of technological platforms and big data, the normative references of GDPR, Digital Service Act and other legal formats with a global vocation. Attention will be paid to the ethical challenge underlying the balance between human intervention and artificial intelligence, to the comparison between legal language and algorithms from the applicability of models to the role of law and regulation in the face of technological change and to the governance and risk management of data.
Some insights concern automated decisions, profiling in the credit and in the insurance sector and the coexistence between incumbents and new entrants in the financial sector.

Manes Paola

The course focuses on data protection law. After a brief overview of the Italian and European framework, the course will focus on the new General Data Protection Regulation, applicable all around Europe since May 2018. The course aims at exploring the relevant obligations of controllers and processors. Specific attention will also be paid to conditions of lawfulness of the processing, data subjects’ rights and controller’s accountability.


Miandar Toloue

Learning approach

The main aim of our teaching staff is to first lay down a solid grounding of theory and then to build on this foundation by introducing more practical aspects. This method will result in you confidently entering the work environment of this industry, ready to deal with any scenario you will face.

The courses are structured to give the maximum freedom to learn to the students and allow the professors to teach and assess the students in the best way possible. Assessments can take the form of individual/group presentations, projects, oral and written exams as well as, of course, class participation.

The teaching sessions are organized to help students grasp these concepts and techniques through the use of lectures and seminars; group projects and company visits; guest speakers and case studies; videos and presentations; as well as individual assignments and assisted private studying. The teaching program is completed by masters lectures given by professionals coming from specific sectors, different universities or politics. Students will have this way the possibility to directly interact with experts through the analysis of case history.



Faculty 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.


The integration with companies is a priority and an ever-present feature of all programs of the Bologna Business School, hence for the Master in Artificial Intelligence and Innovation Management too.
The School is fully committed to creating employability, by way of a systematic career service action, constantly focused on matching at best the students’ professional projects with the needs companies have.
The internship is an exceptional springboard, suffice it to say that six months after the end of the full-time masters at Bologna Business School on average 91% of students work in a company.

The BBS Career Service assists and supports students since the very beginning, along a training and professional development path. This is accomplished by organizing a series of workshops, with the aim of providing the fundamental tools and resources to be appropriately prepared for the labor market.


To achieve this goal, students are involved in several workshops, among which we may list:

  • Writing a CV and a Cover Letter
  • How to create an effective Linkedin profile
  • How to prepare for a job interview


In addition to this, thanks to the collaboration with professional career counselors, students receive a customized service, in order to understand their strengths and to build a professional development plan, which will turn out to be helpful when looking for an internship. Here follow some of the activities:

    • Initial guidance interviews
    • Specific interviews, focused on one’s own career plan
    • Continuous support to students with one – to – one sessions



Stephanie Erlita Arifin – Indonesia

Platform Product Specialist, World Food Programme
Master in Artificial Intelligence and Innovation Management (A.Y. 2021/2022)

"I was looking for career boost and found an investment in this master. I considered it to be an important milestone towards developing both managerial and technical skills in the field of technology and innovation, especially in the realm of Machine Learning and AI. During my year I also had the privilege of having some classes combined with the Data Science and Finance & Fintech masters, which enabled me to share insights and learning with students from diverse career and cultural backgrounds. Now that I found an opportunity in an NGO sector, I have come full circle and I want to thank the BBS family for enabling me and all of the students the tools we needed to boost our career and confidence."

Mauro Logoluso – Italy

Consultant & Next Generation Board, Capgemini
Master in Artificial Intelligence and Innovation Management (A.Y. 2020/2021)

"After university, I wondered for a long time how to enrich my professional path to be part of the process of innovation and digital transformation that now pervades most of the work fields. The Master in Digital Technology Management allowed me to do exactly this: in BBS I had the opportunity to meet colleagues from the most varied backgrounds, passionate and stimulating professors and in general I lived an international environment that allowed me to receive training that goes beyond the technical aspect. I developed a mindset that now allows me to critically analyze the potential and challenges related to innovation technologies."

Roberta Serra – Italy

Cyber Security Consultant, Deloitte
Master in Artificial Intelligence and Innovation Management (A.Y. 2020/2021)

"I chose BBS because I wanted to demonstrate that I could pursue a career in cyber security despite my university studies in humanistic subjects. I was looking for the opportunity to explore topics, including technical ones, that had fascinated me and BBS gave me this opportunity. It was a journey full of challenges and satisfactions where I was able to deepen many aspects of the cyber world and digital transformation. But above all, thanks to the skills acquired, today I have the opportunity to build a career in the cyber world and to contribute to the development of new digital solutions."

Dhansaw ‘Vittorio’ Rambaran – Italy

Junior Project Manager, Almaviva
Master in Artificial Intelligence and Innovation Management (A.Y. 2020/2021)

"After my bachelor's degree, I realized that for my personal growth I would need a course that could integrate both the managerial and technological aspects. That was how I chose BBS, specifically the course in Digital Technology and Innovation Management, because it seemed the right choice for me to be able to continue my path and to give me an overview of the most important technological issues for the future and for innovation, providing a positive impact not only in hard skills, but also in soft skills. I was also fortunate to have very excellent professors and interesting classmates from all over the world and from different academic backgrounds. Not only the lessons, but also the extra courses and lectures are designed to keep students on the cutting edge of technology issues"

Jovana Perovic – Montenegro

Information Risk Management & Internal Security Advisory Services Level Specialist, Crif
Master in Artificial Intelligence and Innovation Management (A.Y. 2017/2018)

"Enrolling at BBS was one of the best decisions of my life. With the wide range of professionals we had as professor, not only I got an opportunity to study what I am passionate about, but I had an opportunity to discover new fields I never thought I would want to explore.The Master helped my personal and professional growth. This experience introduced me to cultural diversity, network of companies and opened the door of a global company to me. I am honored to be part of the BBS family."

Francesco Marasco – Italy

Product Manager, Yoox Net-A-Porter Group
Master in Artificial Intelligence and Innovation Management (A.Y. 2017/2018)

"I was looking for a change in my professional path and I came across this very unique Master. It allowed me to merge the academic study in management engineering with my work as a developer. I considered it as an investment and I committed all my energy and time. In this way, I reached a level of knowledge about cutting edge technology that I couldn't have got in any other way this fast. This gave me the possibility to boost my career."


The goal of the Career Service is also to allow students to connect with national and international companies. Over the years, Bologna Business School has managed to establish a wide-ranging network and a sound partnership with leading companies in Italy, thanks to a personalized approach, based on each company’s needs. The collaboration features the following activities:

  • Sending CV Books
  • Sharing internship opportunities
  • Company presentations
  • Career days
  • Project works
  • In-class activities with case studies presented by Managers and/or HR professionals

Moreover, companies support the Master in Artificial Intelligence and Innovation Management with scholarships, professional opportunities, career fairs and company presentations.

The companies that worked with us in 2022/2023 are:



The tuition fees for the Master is 14,800 euro (VAT free) to be paid in three installments:

  • First installment: 1,850 euros
  • Second installment: 7,000 euros
  • Third installment: 5,950 euros

The fee includes participation in the Master, all the study material available through the online platform, and access to the services and facilities of Bologna Business School. Furthermore, the fee gives participants the right to take advantage of the supporting activities of the School, such as the language courses and the master lectures by invitation.
Free parking is also available within BBS Campus.

Additionally, with the Student Card of the University of Bologna, students have access to all of the university facilities, including over 100 libraries, digital resources and study halls (including databases and online subscriptions); the three city center canteens and all university student related discount offers. More information is available on the site of the University of Bologna:


At Bologna Business School we understand the importance of financial aid in supporting our students to achieve their educational goals. We are aware that an advanced, high quality training path can be a significant commitment, at the same time we also truly believe that investing in one’s future always pays back.

Bologna Business School is pleased to offer partial scholarships of 6,000€ and 4,000€ available to the most deserving students. The scholarships will be awarded on the basis of merit criteria to the students occupying the highest positions after the selection process. The highest ranked students will be those with not only a solid academic and/or professional background, but also those who have proven to be the most motivated to participate in the course. The winners will be informed at the time of the admission.



In order to be admitted to the Master’s course you must have:

  • Bachelor’s degree (obtained within the closing date of enrollment of the selection round in which you participate)
  • Excellent level of English

The admission to the Master is subject to the positive evaluation of the selection test in line with the number of places available. The selection process consists of one Aptitude Test and one English Language Test, both prerequisites to be admitted to the motivational interview in English.


  1. Register on “Studenti Online” by connecting to the site
  2. Select “First Level Master”.
  3. Pay the participation fee for the selection (60 euro for each Master)
  4. Upload the required documents online:
  • Curriculum Vitae in English
  • Motivational letter in English
  • Letters of reference in English (optional)
  • Photograph of recognition
  • Front and back ID/passport
  • If available, a GMAT/GRE certificate with a score above 550 (GMAT) or equivalent (GRE). Applicants uploading this certificate are exempted from the written aptitude test as part of the admission process.
  • If available, an English language certificate (TOEFL, IELTS or CAMBRIDGE) attesting a minimum English level of B2 in the European framework. Applicants uploading this certificate are exempted from the written English test as part of the admission process.
  • For degrees obtained in Italy: Self-certification of Bachelor’s degree with details of exams taken and relative grades
  • For degrees obtained abroad: Dichiarazione di Valore (to be requested at the Italian Embassy in the country where the degree was obtained) or Diploma Supplement (to be requested at the university where the degree was obtained). In the event that the candidate is unable to obtain the Dichiarazione di Valore or Diploma Supplement at the time of enrollment, he/she may temporarily replace it with a Conditional Enrollment Form, which will be sent after enrollment by

For further guidance, students who obtained a bachelor’s degree abroad are encouraged to check the page below:

For further information concerning the selection process and the related documents, we invite you to consult the Master details and download the documents available in this section.






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