Artificial Intelligence (AI) and data science are today key enabling factors in several application fields. This degree course forms professionals capable of exploiting AI tools and data analysis techniques in the context of ICT. This is achieved by integrating the core technologies of computer science, electronics, and control theory with advanced methodologies in artificial intelligence, machine learning, and data structures.
In a modern industrial and technological context, there are highly interesting employment opportunities for graduates capable of bridging traditional IT systems with AI-driven automation, decision support systems, and smart technologies.
Objectives and teaching
The program wants to form engineers capable of effectively employing AI tools for data science, managing the entire life cycle of data, analysing big data, visualizing the results, and exploiting the information for decision making processes. Also, great attention is paid to internalization aspect in order to form a professional capable of working also abroad, easily and effectively interfacing with foreign communities.
In particular, graduates in Computational Intelligence will:
- Acquire a solid scientific foundation in mathematics, physics, and computer science principles
- Understand and apply the core concepts of Artificial Intelligence, machine learning, and explainable AI
- Master the design and integration of control systems, telecommunication networks, and digital electronic devices
- Develop expertise in emerging technological domains such as the Internet of Things (IoT), AI management, and AI-driven automation
- Be capable of managing operations research, data analysis, and advanced topics like cybersecurity, soft computing, or algorithmic trading based on their elective choices.
The teaching approach ensures that theoretical training is consistently accompanied by practical examples, applications and projects. Alongside individual study, great importance is given to laboratory sessions, seminars, and project development. A training internship and a final test complete the academic path, allowing students to test their theoretical knowledge and technical skills in real-world professional scenarios.
Career opportunities and professional prospects
A data engineer is capable of designing systems and processes to extract, record, and analyse heterogeneous big data; to develop information processes for data science; to design and employ machine learning algorithms for data analysis.
Typical employment opportunities are highly relevant in both corporate operational sectors and research and development centres, in particular:
- IT companies focused on designing, developing, engineering, and operating AI solutions, machine learning algorithms, and complex software systems
- Manufacturing and logistics companies utilizing AI-driven automation, control systems, and robotics
- Public and private sector organizations, as well as service companies, requiring data analysis, decision support systems, and smart connected technologies (IoT)
- Tech companies operating in the advanced development of embedded systems, wearable sensing, cybersecurity solutions, or algorithmic trading platforms
- Consulting firms offering technical and strategic expertise in AI management and business economics integration.
To view the complete curriculum for the Bachelor’s Degree in Computer and Automation Engineering – Curriculum Computational Intelligence (L-8) click here. To request a free, personalised consultation fill in the form.
