There are various courses offered in Italy with high employment opportunities post course completion as Italy is investing heavily to promote IT consulting, ICT, and robotics industry.

To name a few of the courses offered.

Artificial Intelligence and Data Engineering

The Master’s Degree program in Artificial Intelligence and Data Engineering offers solid and in-depth training that allows its graduates to design and implement computer systems to efficiently manage large amounts of data and extract useful knowledge from these data, and, more generally, intelligent systems based on the most recent methodologies and techniques of artificial intelligence.

The course is structured to admit not only students with consolidated knowledge in computer engineering but also students from various disciplines, provided they have adequate knowledge of computer programming. Graduates in computer engineering have the opportunity to deepen their engineering and methodological disciplines. Graduates in other disciplines have the opportunity in their educational path to complete knowledge of the basic methodologies of computer engineering, including operating systems, computer networks, and databases.

Professional profiles

• Big Data Engineer
• Data Service/Platform Engineer/Manager
• Data Analytics Engineer/Manager
• Data Technologies Engineer
• Big Data Infrastructure Engineer
• Business Process Engineer/Manager
• Artificial Intelligence Software Engineer/Architect
• Machine Learning Engineer/Architect
• Big Data/AI Consultant
• Researcher in public/private labs

Computer Engineering–

The MSc provides its students with a solid and in-depth education, in line with the need for innovation in the field of computer engineering. This course deepens the student’s knowledge portfolio in both basic science and engineering. This allows the graduate to interact with engineers from all disciplines and complete his mastery of computer engineering.

The course consists of a series of collaborative learning activities that delve deeply into methodological and engineering disciplines to complete your computer engineering knowledge. Students can choose from her three tracks:

Computer Systems and Networks, Cyber-Physical Systems and Cybersecurity. The first goes further into large-scale computing and network infrastructure, the second provides students with expertise in embedded Systems and the Internet of Things, and the last focuses on designing secure systems and applications. increase.

Professional Profiles-

• Project Engineer of advanced networking/multimedia/e-commerce services
• Cyber Security Specialist
• Cloud Computing Architect/Strategist
• Development manager for Industry 4.0
• Mobile & IoT Solutions Engineer
• Chief Information Officer
• IT consultant
• Researcher in public/private labs

Data Science and Business Informatics

The interclass master’s degree program in Data Science and Business Informatics is designed to respond to the growing demand for master’s graduates with an interdisciplinary culture capable of understanding the needs of organizations and responding to them through the production of decision support information obtained with the rigorous analysis of the large amount and variety of data accumulated over time. The opinion is now widely shared that in modern organizations, to improve the effectiveness and timeliness of decision-making processes, it is necessary to leverage the information extracted from data with analytical methods (data warehousing, machine learning, data mining, artificial intelligence, business process modeling, big data analytics, visual analytics, text analytics).

Master’s graduates in Data Science and Business Informatics will have specialized knowledge of the IT methods and tools of Data Science and Business Intelligence to conceive, plan, design, and manage applications that provide decision-makers with summary information and the most suitable predictive models for understanding, discover and predict interesting phenomena on which to base effective tactics and strategies to increase the competitive advantage or the public good. This knowledge will be complemented by the foundations of economics and business management, by the models and methods of optimization of operational research, and by the methodologies and applications of statistics and computational sociology.

The training path is organized according to a single curriculum, which offers a strong IT training component, articulated on all the main aspects of the discipline but with particular attention to data analysis, a mathematical-statistical component, and a training component of context, with particular attention to the business aspects.