Artificial Intelligence represents the greatest technological revolution in history and 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 Management with Artificial Intelligence is designed for young graduates of different academic backgrounds who aspire to become managers of technological innovation. The course provides Management tools and techniques in addition to the specific know-how of the sector, necessary to manage the business opportunities related to Artificial Intelligence and Machine Learning that have revolutionized the productive and organizational dynamics of companies.
Investing in the Master in Digital Technology Management with Artificial Intelligence address 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 AI 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 cycles of study and one final of internship, for a total of 12 months. The first session of classroom lessons, dedicated to the basics of Management applied to Digital Technology, is addressed together with the students of the other two addresses of the Master (Cyber Security and Internet of Things).
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
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 4.0 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. "
AVERAGE WORK EXPERIENCE
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 two terms:
The first term students will face the fundamentals of management, applied to digital technology, while the second term will deal with track specific practical aspects.
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.
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.
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.
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.
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.
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.
The goal of the course is to give the participants an exhaustive overview of ICT hardware, software and services currently used within companies, as well as to illustrate some trend directions and next-generation technologies which might be adopted in business.
Starting from traditional tools like ERP and DBMS, the course introduces the area of information systems, presenting up-to-date techniques and software enabling the data storage, retrieval and knowledge extraction.
Then, it investigates the business opportunities, potential and applications within companies of emerging areas like mobile applications, cloud technologies and the Internet of Things.
This course focuses on the study of processes required to create value for a final consumer, through the contribution of a network of companies (generally labelled as “supply chain”). Basic as well as more advanced elements of supply chain structure and management, purchasing processes and supplier management will be analysed. Special focus will be devoted to concepts and applications of “digital supply chains.
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.
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:
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:
Jovana Perovic – Montenegro
MDTM (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
Eliwell by Schneider Electric
MDTM (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!"
Sandra Cecilia Camargo Teran – Bolivia
MDTM (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."
Francesco Marasco – Italy
MDTM (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:
If you need more information regarding the composition of the class such as age, geographic origin and students’ background, you can download the class profile, clicking here: class profile DigitalTec
Our partners are the foremost supporters of our students, with the provision of scholarships, internships and professional opportunities.
Bologna Business School’s partner companies for the Master in Digital Technology Management are:
ACCENTURE AGM SOLUTIONS BANCA INTESA SANPAOLO BIP BORSA ITALIANA (LONDON STOCK EXCHANGE GROUP) BTO CRIF DATALOGIC DEEPCYBER DIENNEA DOXEE ELECTROLUX HELIXA KANTAR CONSULTING MAX MARA FASHION GROUP NTT DATA ONIT PHILIP MORRIS INTERNATIONAL SCHNEIDER ELECTRIC SCM GROUP SPINDOX TUTELA DIGITALE UNITED NATIONS INDUSTRIAL DEVELOPMENT ORGANIZATION YOOX NET-A-PORTER GROUP
The tuition fees for the Master is 14,800 euro (VAT free) to be paid in three installments:
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
Participants are eligible to apply for Honor Loan with subsidised rate up to the complete coverage of the application fee.
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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 to the most meriting students. 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.
There are scholarships of 6,000 euros and scholarships of 4,000 euros. All applicants will be considered for a scholarship – no specific application is required. They are awarded over the course of every round of selection and if you have performed well enough to merit one of them, you will be informed at the moment of admission.
The scholarships act as tuition waivers, so that they result in a deduction of the total amount of the tuition fees due.
The Italian National Security Institute (INPS) supports students attending I and II level Master’s Degrees with a public announcement and related scholarships of a maximum of 10.000€. The scholarships are for sons and daughters of both INPS members and deceased INPS members. You can check the requirements to apply to the scholarships on the INPS portal and apply by sending your application no later than Wednesday, October 30 2019 at 12 PM.
For the registration it is necessary:
Admission to the program is subject to the positive assessment of your individual interview and English test, if it’s not the candidate’s native language.
This Master’s is open to all applicants with a bachelor’s degree obtained before the enrolment deadline of each round.
Documents to send to firstname.lastname@example.org:
The selection process will be held at Bologna Business School. The selections for the first round will take place in July, 2019 and the selections for the second round will take place in October, 2019.
In line with the number of available places, admission to the program is granted according to the position on the list of qualified candidates, drawn up on the basis of the total score awarded at the end of the admissions process.
Detailed information on the requirements and application process are available in the “Official Call for Applications” downloadable below.
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.