International Telematic University UNINETTUNO
Bachelor in Computer Engineering
Online
Bachelor's degree
DURATION
3 years
LANGUAGES
English, Italian
PACE
Full time
APPLICATION DEADLINE
EARLIEST START DATE
TUITION FEES
EUR 2,000 / per year
STUDY FORMAT
Distance Learning
Key Summary
About: Study programming, algorithms, computer architecture, operating systems, databases, networks, software engineering, cybersecurity, AI, machine learning, cloud, IoT, plus math, physics fundamentals. Develop software design, problem-solving, systems architecture, database, network administration, cybersecurity, cloud technologies, teamwork, project management, testing assurance. This online Bachelor from The International Telematic University UNINETTUNO offers flexible English-taught pathways and a globally recognized academic model.
Career Outcomes: Main employment opportunities include software and hardware firms, AI, networks / telecommunications, public administration, business IT, data analysis, consulting and freelance work. Roles include information systems design and implementation, service automation, application, web development, processing systems and IT department management.
What You Will Study
- Programming and software development.
- Algorithms and data structures.
- Computer architecture.
- Operating systems.
- Databases.
- Computer networks.
- Software engineering.
- Cybersecurity.
- Artificial intelligence and machine learning fundamentals.
- Cloud computing.
- Distributed systems.
- Internet of Things (IoT).
- Mathematics, physics and engineering fundamentals.
Skills You Will Develop
- Software design and development.
- Problem-solving and analytical thinking.
- System design and software architecture.
- Database design and management.
- Network administration.
- Cybersecurity principles.
- Cloud technologies.
- Teamwork and project management.
- Software testing and quality assurance.
1st of July
The objective of the training path is therefore to meet opposing needs that on the one hand require cross-field scientific and methodological preparation and, on the other hand, must provide for the creation of professional profiles with a high level of specialized technical expertise. For this reason, an in-depth study of basic and characterizing cross-field subjects is foreseen (providing methodological training to analyze and model engineering problems, even complex ones), as well as more specialized courses offered that allow the Computer Engineering graduate to be characterized by presenting methodologies and technical and applicative solutions in specific sectors.
The aim is to enable the student to become acquainted not only with more traditional computer tools but also to be able to quickly get started in the changing world of the latest applications of deep learning, intelligent systems, man-machine interactions, etc. In addition to the in-depth study of mathematics and physics, the training course provides cross-curricular computer skills with the study of algorithm analysis and programming.
A common knowledge base in the field of Information Engineering is provided concerning electronics, the study of signals, modeling, and control of dynamic systems, and the architecture of processing systems. These are complemented by related subjects that provide methodologies peculiar to electrical engineering and basics in business economics and organization. In addition, since knowledge of the English language is now essential for the role of the engineer, it is an educational goal for all graduates to be able to write and speak in English, especially on topics in the technical field.
As far as specialized knowledge is concerned, the aspects of information processing systems are deepened by providing topics on theoretical and practical aspects of computer architecture, operating systems, design and management of databases, design and implementation of software and computer networks; design techniques and system technologies, design of digital devices and related software; problems related to electronic measurements, design and analysis criteria of analog and digital electronic circuits; aspects concerning network and signal management technologies; new tools for massive data analysis in complex systems and the development of neural networks and applications of artificial intelligence. As part of the course of study, it will also be possible to provide internships and company visits for students willing to carry out face-to-face activities. It will also be possible to provide seminars, organized at a distance thanks to the computer technologies made available by the University.
Finally, the thesis work will represent a summarizing work in which the student, under the supervision of one or more faculty members of the Faculty, will develop a work resulting from the knowledge acquired throughout the course of study. This work may be both theoretical and experimental in nature and may also take place at companies and research centers affiliated with the University. Finally, the thesis work will represent an opportunity for summing up things in which the student, under the supervision of one or more faculty members, will develop a work resulting from the knowledge acquired throughout the course of study. This work can be theoretical, realizable, or experimental and can eventually take place in companies and research centers affiliated with the University.
The main employment opportunities are represented by information companies operating in the fields of software and hardware production, artificial intelligence applications, computer networks, and telecommunications, by organizations dealing with information systems in public administrations and services companies as well as in the businesses ‘IT divisions in general, in companies dealing with data analysis, data mining, and consulting. In particular, possible job opportunities for an ICT Engineer (ISTAT code 2.2.1.4.) can be the following:
- design and implementation of company information systems;
- automation of services in public and private organizations;
- development of application packages, including multimedia and web-based ones;
- implementation of the processing systems;
- management of the processing systems;
- management of the IT departments in small and medium enterprises;
- freelance profession as a consultant.
1st Year
- Calculus 1
- Technical English
- Physics
- Programming
- Algorithms and Data Structures
- Chemistry and Material Science
- Mathematical Methods
2nd Year
- Information Systems and Databases
- Basic Circuit Theory
- Software Engineering and Object-Oriented Programming
- Probability and Statistics
- Electronics and Electronic Measurements
- Advanced Mathematical Methods
- For Processing Systems and Networks; Information and Communication Technologies Engineering paths:
- Economics for Engineering
- For Processing Systems and Networks path:
- Economics and Business Management
- For Intelligent Systems path:
- Artificial Adaptive Systems
- For Information and Communication Technologies Engineering path:
- Computer Architecture
- Communication Technologies
- Electronic Systems and Digital Electronics
3rd Year
- Operating Systems
- Computer Architecture and Digital System Design
- Computer Networks
- Training
- Further Information and Computer Knowledge, Language Training, and Orientation
- Final Evidence
- For Processing Systems and Networks path:
- Communication Technologies
- Control System Analysis and Design
- For Intelligent Systems path:
- Neural Networks
- Intelligent Systems
- For Information and Communication Technologies Engineering path:
- Discrete Mathematics
- Numerical Methods
- Additional Linguistic Knowledge
- For Processing Systems and Networks; Intelligent Systems paths:
- 12 CFUs reserved for free-choice modules
Why Study Online with UNINETTUNO University
Benefits of Online Learning
- Study from anywhere without relocating.
- Access lectures anytime, 24/7.
- Balance your studies with work and personal commitments.
- Learn at your own pace with flexible scheduling.
- Access video lectures, digital learning materials and online resources from any device.
- Receive academic support from professors and tutors through the e-learning platform.
- Join an international learning community.
- Earn a nationally recognized university degree with the same legal value as a traditional on-campus degree in Italy.
- Develop digital, independent learning and problem-solving skills valued by employers.
Who Is It For?
UNINETTUNO's online learning model is ideal for:
- Working professionals.
- International students.
- Adult learners.
- Students living abroad or far from campus.
- Athletes and students with personal or family commitments.
- Anyone looking for a flexible university education.
Why Choose UNINETTUNO?
- International online university.
- Fully online degree programmes.
- Flexible and student-centered learning.
- Innovative digital education model.
- Career-oriented academic programmes.
- Global learning experience.