|Study location||Italy, Pavia|
|Nominal duration||2 years (120 ECTS)|
|Awards||(Master degree in Computer Engineering)|
|Tuition fee||€4,500 per year
Tuition fee for non-EU students who enter Italy with a study visa is based on flat rate and depends on the citizenship.
|Application fee||€35 one-time|
Undergraduate diploma (or higher)
Bachelor’s degree, postgraduate Master’s degree awarded in Engineering.
The entry qualification documents are accepted in the following languages: English.
Knowledge of the English language at a level no lower than level B2 of the CEF (Common European Framework).
Strong background in the basic subjects and in the characteristic engineering subjects.
Specific requirements for Non-EU applicants:
Please note that we accept a limited number of non-eu students each academic year. All students with an unconditional offer will be sent specific instructions on how to accept their offer and how to reserve their seat. Students who do not comply with the instructions may not be able to enroll. Students with a conditional offer cannot accept their offer before taking and passing the assessment test.
Students can build a strong background with advanced competences in Information Technology and Automation through the Master’s Degree Course in Computer Engineering and they can focus their studying on the economical and management issues typical of firms and markets. At the end of the degree course, the graduate will be able to identify, analyse, formalize and solve main problems, even he more complex ones, typical of computer and automation engineering with an innovative point of view when needed. They also will be able to build a professional and flexible career updated with the evolution of technology.
The Computer Science and Multimedia curriculum includes Multiprocessor Architectures, Computer Networks, Performance Evaluation, Multimedia Systems and Technologies, Computer Vision and Human Computer Interaction.
The Embedded and Control Systems curriculum ncludes Automation and Advanced Control Systems, Process Control and Control of Robotic Systems, Embedded and Real-time systems.
The Data Science curriculum includes machine learning and deep learning techniques, data modelling and analysis (statistical learning and data analytics), Big Data in the geospatial, biomedical and financial fields.
2 years (120 credits, see study plan)
Job market for a Computer Engineering Graduate offers many possibilities and it is still evolving. The most common professional fields are:
• design and management of information systems
• design and management of architectures, infrastructures and advanced services for networks and Web
• design and analysis of systems of real-time processing and for specialized applications
• design and development of systems and multimedia processing environments
• design of automation systems for the industry and the services
• design, supervision and control of robotic systems
• design methodologies for modeling, simulation and control of complex
First call closes on the 15th of January. For the next call consult the calendar in the news.