The Artificial Intelligence track of the Master in Digital Technology Management is designed to recognize the business opportunities presented by technological innovation and open them up to the technical-managerial leaders of the future, thanks to a highly specialized pathway.
For modern companies, artificial intelligence plays an important role in decision-making when it comes to production and organization dynamics, where it is used to pinpoint areas for improvement. This course equips participants with tools and techniques that enable them to map state-of-the-art business processes and identify areas of potential, machine-based solutions and innovative applications to boost business growth.
Investing in the Master in Digital Technology Management in Artificial Intelligence enables you to become an advocate for digital transformation, promoting and supporting a transition that has all the hallmarks of a global industrial revolution.
Professionals who have decided to grasp this opportunity see it as a chance to complement a purely technical background with a management qualification, allowing them to become representatives capable of dealing with top-level management so that innovation can be placed at the heart of business decisions.
The master, which will be held in English, is structured into two classroom-based lessons and one final internship period over a total of 12 months. Participants will undertake the first term of lessons – an introduction to management in Digital Technology – alongside students from the other two specialist tracks of the Master (Cyber Security and Digital Project Management).
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.
“PerTe Prestito Con Lode”, a long-term and low-interest honor loan, with no collateral required to cover the full amount of the tuition fee.
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. "
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.
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.
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.
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.
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 develops a foundation of concepts and solutions that supports the planning, scheduling, controlling, resource allocation, and performance measurement activities required for successful completion of a project. Provides training and experience with project management tools and techniques, including work breakdown structures, network diagrams, risk management, earned value management, and other tools.
The course also addresses the main organizational issues in managing projects and leading project teams. It is fully aligned with Project Management Institute (PMI) standards.
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.
Building synergies with businesses is a priority and a distinguishing characteristic of all programs of Bologna Business School, including the Master in Digital Technology Management.
The School is fully dedicated to preparing students for the job market and it accomplishes this through systematic career development, with an ongoing commitment to combine the best professional projects by students with the demands of businesses.
The internship is an excellent springboard to the professional world, evidenced by the fact that six months after completing the full-time master at Bologna Business School, an average of 90% of alumni are working in a company.
Over the years, our partners have been constantly involved in the activities, which make up the structure of our programs. Companies belonging to our network take part in project works and master’s lectures; they actively contribute by engaging with students through guest lecture sessions and by organizing company visits.
Our partners are the first supporters of our students by providing scholarships, internships and professional opportunities.
Bologna Business School’s partner companies for the Master in Digital Technology Management are:
ANCORA SERVIZI AUTOMOBILI LAMBORGHINI BVM LES COPAINS CAMST CAREGIVING CARPIGIANI CHAMPION CINECA CNA di BOLOGNA COLOMER GROUP COOP CENTRALE ADRIATICA CRIF DATALOGIC DUCATI EGS ENGINEERING FREELANDS NETWORK GA OPERATION - Gruppo Giorgio Armani GMPR COMUNICAZIONE GRAPHIC STORE GRUPPO MAX MARA GRUPPO MONTENEGRO GRUPPO TREVI HAVAIANAS HAYS HERA IMOLA IBM ICONSULTING IMA IOSA GHINI IREN LIU JO MOLLUSCO & BALENA COMUNICAZIONE NIKE ITALY PDFOR Consulenza PUCCI BERNI REMEMBRANE SCS CONSULTING SIGMA SPORT LAB STS ACADEMY TECHNOGYM TETRAPACK UNIGRA' VALSOIA VODAFONE VOSSLOCH
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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
Thanks to the agreement between Bologna Business School and Intesa Sanpaolo, participants are eligible to apply for “PerTe Prestito Con Lode”, a long-term and low-interest honor loan.Main characteristics:
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.
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.
There are two rounds of admissions, the first round will be open for applications until September, 2017. The second round will open in September, 2017 and will close in November, 2017.
Documents to send to email@example.com:
The selection process will be held at Bologna Business School. The selections for the first round will take place in October, 2017
and the selections for the second round will take place in November, 2017.
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.
Assistant Professor of Engineering and Management
University of Bologna
Full Professor of Economics and Business Administration
University of Bologna
Consultant and Adjunct Professor of Economics and Business Administration
University of Bologna
Assistant Professor of Business Engineering
University of Bologna
Associate Professor of Marketing
University of Bologna