Study location	Italy, Pavia
Type	Graduate, full-time
Nominal duration	2 years (120 ECTS)
Study language	English
Awards	(Master degree in Computer Engineering)
Course code	06415/00/2012

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. If non-EU students come from a family with limited financial resource, they can choose to have their tuition fee calculated according to their family income (from €156,00 to €3.985,00 per year). For more info please consult this link
Application fee	€35 per programme This fee is not refundable.

Entry qualification	Undergraduate diploma (or higher) Bachelor’s degree, postgraduate Master’s degree awarded in Engineering. Check here the requirements. The entry qualification documents are accepted in the following languages: English / French / Italian / Spanish. In order to finalize your enrollment, you must submit the scanned version of your original documents.

Territory requirements	Applications are accepted from the following territories (based on citizenship): World.

Language requirements	English Knowledge of the English language at a level no lower than level B2 of the CEF (Common European Framework). Read more here about exceptions.

Other requirements

Strong background in the basic subjects and in the characteristic engineering subjects. For country-specific requirements related to your degree please read our dedicated webpage. If you wish to find out the exact number of seats available for non-eu students consult this link. 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.

More information	mpce.unipv.eu

Overview

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 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.

Programme structure

2 years (120 credits, see study plan)

DOUBLE DEGREE
The Department has successfully implemented a Double Degree program with a prestigious University in China. This bilateral agreement allows the students who participate in the program to obtain an Italian degree and the equivalent foreign title. Learn more here

Curriculum 1 : EMBEDDED AND CONTROL SYSTEMS
YEAR 1
• Process Control and Robotics
• Numerical Methods in Engineering Sciences
• Advanced Computer Architecture
• Advanced Automation and Control
• Economics for the Digital Society
• Organization Theory and Design
• Industrial Informatics and Embedded Systems
• Industrial Control
• One subject to be chosen from this list: Artificial Intelligence / Computer Vision / Information Security / Web and Multimedia Technologies / Hardware Software Codesign / Cloud Computing / Parallel Programming / Human Computer Interaction
• One subject to be chosen from this list: Parallel Programming / Human Computer Interaction / Hardware Software Codesign / Machine Learning

YEAR 2
• Robotics
• Electrical Drives for Industrial Applications
• One subject to be chosen from this list: Artificial Intelligence / Computer Vision / Information Security / Web and Multimedia Technologies / Parallel Programming / Deep Learning
• One subject to be chosen from this list: Deep Learning / Statistical Learning Theory / Computer Vision / Electronics for Industrial Measurements / Information Security / Web and Multimedia Technologies / Cloud Computing / Logistics Management
• One subject to be chosen from this list: Planning, Management And Supply Of Goods And Services / Project Work In Computer Engineering

Curriculum 2: COMPUTER SCIENCE AND MULTIMEDIA
YEAR 1
• Digital Content Retrieval
• Numerical Methods in Engineering Sciences
• Advanced Computer Architecture
• Computer Vision
• Web and Multimedia Technologies
• Enterprise Digital Infrastructure
• Human Computer Interaction
• One subject to be chosen from this list: Radar Remote Sensing / Organization Theory and Design / Economics For The Digital Society

YEAR 2
• Information Security
• One subject to be chosen from this list: Process Control / Robot Control / Industrial Control / Statistical Learning Theory
• One subject to be chosen from this list: Artificial Intelligence / Robotics
• Two subjects to be chosen from this list: Artificial Intelligence / Internet and Multimedia / Process Control / Parallel Programming / Robotics / Cloud Computing / Satellite Data Analysis / Software Project for Digital Transformation / Deep Learning / Robot Control / Organization Theory and Design
• One subject to be chosen from this list: Planning, Management and Supply of Goods and Services / Project Work in Computer Engineering

Curriculum 3: DATA SCIENCE
YEAR 1
• Digital Content Retrieval
• Numerical Methods in Engineering Sciences
• Advanced Computer Architecture
• Web and Multimedia Technologies
• Statistical Learning Theory
• Data Science and Big Data Analytics
• Enterprise Digital Infrastructure
• Machine Learning

YEAR 2
• Satellite Data Analysis
• Information Security
• Financial Data Science
• Two subjects to be chosen from this list: Cloud Computing / Software Project for Digital Transformation / Parallel Programming / Deep Learning / Advanced Biomedical Machine Learning / Optimization Models And Algorithms for Data Science
• One subject to be chosen from this list: Planning, Management and Supply of Goods and Services / Project Work in Computer Engineering

Career opportunities

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