Digital Technology and Innovation Management

Interpreting reality

Technological Development  has assumed a fundamental weight on business growth in all sectors. The automation process in areas that were the exclusive domain of man, as well as machine learning, increasingly requires the presence of expert figures able to guide, at managerial level, the development of these process.

The Master in Digital Technology and Innovation Management is designed for young graduates of different academic backgrounds who aspire to become managers of technological innovation.

Investing in the Master in Digital Technology and Innovation Management means becoming part of Digital Transformation, through a gradual path that allows to bring innovation to the center of Business decisions.

The objective of the Master is to provide a broader preparation to identify potentialities and solutions linked to the use of the Digital Technology for the growth of the business, while promoting a global revolution that requires more and more professionals able to support a purely background technical managerial preparation. The Master, held in English, is structured in two study cycles and a final stage, for a total of 12 months.

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

 

THE MASTER IS AN INVESTMENT. THE HONOR LOAN IS THE WAY TO FUND IT.

 

With the Patronage of Lab Cini AIIA

In collaboration with

schneider_LIO_Life-Green_RGB    Master Digital Technology_Spindox

 

Accreditation

EQUIS

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
maurizio.gabbrielli@unibo.it

" 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. 2021/2022

GEOGRAPHICAL ORIGIN

ACADEMIC BACKGROUND

  • 29 y.o.

    AVERAGE AGE

  • 27 %

    INTERNATIONAL STUDENTS

  • 5

    COUNTRIES REPRESENTED

  • 36%

    FEMALE STUDENTS

Structure

The Master in Digital Technology 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 2022 – March 2023
  • Second term: March 2023 – June 2023
  • Internship: June 2023 – October 2023

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.

 

COURSES

This course provides students with a deep understanding of the following topics: the reference model. The analytics for understanding the pattern and the business dynamics of an enterprise. Business process analytics, market, custodian and supply chain analytics; analytics of competitors. Financial cost and revenues analytics. The use of business analytics in the design of systems for measuring the company’s performance.

The digital revolution has led to an explosion in the amount of available data and information (Big Data), the ability to analyze and correlate this information is becoming a fundamental element to an enterprise’s competitiveness and a new source of economic value and innovation. Big Data, however, is unable to be managed properly by using traditional instruments of Information Technologies because of their size, their heterogeneity and their many peculiarities. For this reason, new architectures, methodologies and tools are being created for data scientists to transform this data into value for the company and to support the decision-making process. This course will analyze the various types of data available, technical access to information, methods to handle them and the architectures and tools to store and process them.

The course will explore and analyze typical problems associated with operations management and address them through quantitative modeling in support of decision making. The issues will be handled by combining a business-oriented approach with quantitative methods on a statistical and econometric basis. The main contents are related to: management of production capacity, inventory management and control, service operations, selection and monitoring of suppliers, process optimization and simulation. The main objectives of the course relate to the ability to model complex business situations and to analyze them through technical and quantitative tools designed to monitor and improve business performance, teams and individuals.

Mollona Edoardo

The new priorities of marketing management: the marketing metrics and dashboard indicators of marketing.  From the value for the customer to the value of the customer: customer value, satisfaction, loyalty and customer equity. Analysis, measurement and management. Customer Relationship Management: acting on acquisition, retention and development. Big Data and Customer Insight Management. Customer insights and Big Data for improving marketing decisions and management. Marketing Modeling and Marketing Analytics.

Konus Umut

It’s undeniable that mankind strive to build unbreakable systems, even if human history has demonstrated so far that this is nothing more than a myth. The real world is mainly made of fragile systems, so that reality is much different from the expectations.

The goal of this course is to provide a 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 (i.e. operation security) aspects will be considered.

After the course, the students should be able to critically evaluate the security of a (computer) system considering both the system as a whole and its main separated components (e.g. authentication and authorization mechanisms and procedures). They will also be able to find the main vulnerabilities of such a system and to identify the more appropriate countermeasures to allow the mitigation of vulnerabilities and reduce the risk to an acceptable level.

The goals described above will be obtained not only by teaching some of the main theoretical aspects of computer security but also by describing and discussing many real world examples in detail.

The approach and the tools learned during this course are prerequisites for the following “Cryptographic Protocols” and “Computer, Network and Cloud Security” courses.

D’Angelo Gabriele

Since the first mechanical automations of the 17th century, one of the great dreams of the humanity has been the construction of machines exhibiting human behaviors and intelligence. Artificial intelligence (AI) is a discipline whose goal is to realize this dream by using the most different techniques, from symbolic computation based on logic to sub-symbolic models inspired by the structure of the brain, such as neural networks.

The last few years have witnessed a sensational exploit of AI applications in many different fields – with a relevant growth of investments – inducing many experts to believe that the dream will come true in a short time.

This is inducing many companies to reconsider their business strategies and, more generally, requires a deep rethinking of several crucial aspects of our society.

The course will provide an introductory overview of the various existing AI techniques, focusing on their industrial applications, discussing future opportunities and challenges, touching also on some social, economic and ethic implications.

Gabbrielli Maurizio
Roberto Amadini

The course provides an overview on the Machine learning field, with a particular emphasis on
symbolic learning techniques (sub symbolic techniques will be covered by the course on Neural Networks).

The main learning problems and paradigms will be introduced along with examples explaining how to
use the learned models into decision support systems.

Application areas that will be covered have industrial impact in fields as automotive, energy management,
predictive maintenance and policy making.
The course will cover both lectures and hands-on sessions.

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.

Chierchia Lucia

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

Over the last decade sustainability, corporate social responsibility and stakeholder management practices have become paramount for companies as well as for society. Although most companies have developed sustainability programs over the years, as they’re cutting carbon emissions, reducing waste, and otherwise enhancing operational efficiency, we are witnessing a mishmash of sustainability tactics that does not add up to a sustainable strategy. To endure, a sustainable strategy has to cope with the competing – and apparently divergent – interests of all stakeholders: investors, employees, customers, governments, NGOs, and society. The purpose of this course is to initiate a debate around the role and functioning of modern corporations as business ethics and sustainability challenges, opportunities and solutions emerge.

Managers and Domain Experts face quite often the challenge of taking decisions on complex matters, characterized by a highly complex scenario, and huge quantity of data and/or knowledge and/or analytical models. Decision Support Systems (DSS) are a class of tools that help the users to understand pros and cons of possible alternative decisions, thus augmenting the awareness of the decision maker about the decision process and its impact.

A first part of the course is devoted to tools and solutions for representing the knowledge and the decision process adopted by Domain Experts. Decision criteria and rules can be documented in a formal, still human-readable way and, more important, can be used to feed software (such as Rule Engines) to fully automatize part of, or whole decision processes. Recent standards like, e.g., the Decision Model and Notation (DMN), will be introduced during a hands-on session, where the audience will directly experiment the advantages of documenting and automatizing decision processes by means of rule-based approaches.

A second part of this course is devoted to introduce the audience to DSS that exploit data and machine learning techniques to learn models of complex domains. These models are in turn used to predict and simulate the scenarios, so as to compare alternative decisions and their expected effects. Visualization techniques then help the decision maker to confront different decisions, w.r.t. optimal solutions for a given objective, or multi-objective decision criteria.

Roberto Amadini
Stefano Pio Zingaro

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, Booking.com, Facebook, Google, Uber, and others, will be analyzed.

Mantovani

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.

Models and methods for knowledge extraction from databases. Study of different types of data and methods of pre-treatment. 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. Data mining laboratory in order to apply the studied methods.

 

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.

 

Zanni Sara

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

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.

CAREER DEVELOPMENT

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 Digital Technology 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

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Alumni

Stephanie Erlita Arifin – Indonesia

Optimisation Specialist, World Food Programme
MDTIM (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

Analyst Consultant, Capgemini
MDTIM (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

Analyst for Application Security Area, Deloitte
MDTIM (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

Project Manager, Almaviva
MDTIM (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 Specialist, Crif
MDTIM (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."

Cynthia Wanza – Kenya

Product Manager, Traent
MDTIM (A.Y. 2017/2018)

"Doing my masters was necessary in order for me to advance in my career. I chose BBS because it has a short intensive time period and also because of the opportunity to perform an internship after classes. Through the self and team projects, I was able to apply my academic knowledge and greatly enhance my soft skills. In this way, BBS prepared me for my career move at one of the top technological companies!"

Francesco Marasco – Italy

Product Manager, Yoox Net-A-Porter Group
MDTIM (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."

Sandra Cecilia Camargo Teran – Bolivia

Knowledge and Innovation Management, World Food Programme
MDTIM (A.Y. 2017/2018)

"The Master was the perfect match for my professional profile, as it allowed me to combine my business background with the latest knowledge on new technologies. Thanks to the Master I was able to provide advice and solutions on how to use new technologies for the best of developing countries. By understanding how Artificial Intelligence techniques can be implemented across projects for development I truly believe that my profile has growth exponentially. Besides the hard work at BBS I was also exposed to an international environment that allowed me to learn the wonderful Italian culture that I will always miss."

COMPANIES

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 Digital Technology Management with scholarships, professional opportunities, career fairs and company presentations.

The companies that worked with us in 2021/2022 are:

ACCENTURE ARTHUR D. LITTLE ALTEN AMPLIFON ARAD AS WATSON GROUP AXYON AI BARILLA BAKER HUGHES BIP CAMST CRIF DATALOGIC DELOITTE DGS GROUP DR SCHAR DUCATI E:LAB GELLIFY GRUPPO CIMBALI GRUPPO HERA HAIER EUROPE HEALTHWARE GROUP IGENIUS JAKALA KERING LINKLATERS LUXOTTICA MANAGEMENT SOLUTIONS MY THERESA OPTIT PWC REKEEP SCS CONSULTING SIDEL SORGENIA TESLA VERSACE VFC WP LAVORI IN CORSO

FEES

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 such as: personal account for the Alma wi-fi, use of the PCs in the Computer Lab, access to the study areas, access to the internal gym, special rates for the School restaurant. 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: http://www.unibo.it/en/services-and-opportunities/index.html

HONOR LOAN

Participants are eligible to apply for Honor Loan with subsidised rate up to the complete coverage of the application fee.
For more information please mail to digitaltech@bbs.unibo.it

SCHOLARSHIPS

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 euros and of 4,000 euros. Thanks to the project ‘Women at BBS’, partial scholarships will be offered to our international women applicant. All of these scholarships are merit-based and will be awarded to the top-ranked candidates in the selection process. The students who come out on top in the selections will be students who not only come from strong academic or practical backgrounds but also those who display the strongest motivation to take part in this program. Winners you will be informed at the moment of admission.

 

REQUIREMENTS

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 test consists of a motivational interview in English.

APPLICATION PROCESS

  1. Register on “Studenti Online” by connecting to the site studenti.unibo.it
    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
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 digitaltech@bbs.unibo.it

For further guidance, students who obtained a bachelor’s degree abroad are encouraged to check the page below: https://www.unibo.it/en/teaching/enrolment-transfer-and-final-examination/declaration-of-value-translation-and-legalization

For further guidance, we advise all students to read carefully the instructions indicated in the “call for applications” and “operating instructions” files downloadable below and to click here to get access to a video tutorial containing instructions on how to apply for selections.

Call for Applications Introduction to apply for the Selection

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