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Scuola Superiore SantAnna, Full Time MSc Degrees

We have 2 Scuola Superiore SantAnna, Full Time MSc Degrees

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This Master degree program is a joint initiative of University of Pisa - Department of Computer Science and Department of Information Engineering, and Sant´Anna School of Advanced Studies - Institute of Communication, Information and Perception Technologies. Read more
This Master degree program is a joint initiative of University of Pisa - Department of Computer Science and Department of Information Engineering, and Sant´Anna School of Advanced Studies - Institute of Communication, Information and Perception Technologies.

Objectives

The two-year Master Program in Computer Science and Networking has been designed to meet the growing demand for an emerging kind of professionals with expertise in both the information and the networking technologies.
This expertise is needed in the design and implementation of both innovative software-hardware distributed infrastructures and service-based distributed applications in several areas of industry, e-business, research, social and citizen services, public administration

Courses and laboratories

The two-year Master degree programme in Computer Science and Networking has a total number of credits (CFU) of 120, where a credit corresponds to 8 hours of lectures/laboratory and 17 hours of personal working activity. The program is organized in around 12 teaching courses (6 or 9 or 12 credits per teaching course), of which 9 major and 3 minor teaching courses, plus the Master Thesis (15 credits).

Major Courses

Algorithm Engineering, Advanced Programming, Distributed Systems Paradigms and Models, Fundamentals of Signals, Systems and Networks, High Performance Computing, Network Configuration and Management, Software Service Engineering, Teletraffic Engineering,

MInor Courses

- software technologies for platforms, systems, models, frameworks, tools, security, and applications in distributed contexts,
- communication technologies for optical and photonic infrastructures, and for network architectures, models, protocols and services,
- applied mathematics for architectures and applications modeling.

The organization of teaching courses and laboratories will allow each student to achieve the most suitable and effective working environment. In order to achieve the described goals for high qualification and working environment, the maximum number of admitted students per year is 42.

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The Master of Science in Embedded Computing Systems is jointly offered by the Institute of Communication, Information and Perception Technologies (TeCIP) of Sant’Anna School of Advanced Studies and the Department of Information Engineering of the University of Pisa. Read more
The Master of Science in Embedded Computing Systems is jointly offered by the Institute of Communication, Information and Perception Technologies (TeCIP) of Sant’Anna School of Advanced Studies and the Department of Information Engineering of the University of Pisa. It is aimed at providing the basic knowledge for approaching complex software design in embedded computing systems using the most modern design methodologies, and integrating specific knowledge in various research areas, including automatic control, signal acquisition and processing, real-time computing, sensors and actuators interfacing, software engineering, formal methods for software verification, distributed systems, computer architectures, and digital electronics.

The organization of teaching courses and laboratories will allow each student to achieve the most suitable and effective working environment. In order to achieve the described goals for high qualification and working environment, the maximum number of admitted students per year is 40.

People graduating in Embedded Computing Systems will have a deep knowledge in the following fields:
• real-time computing systems, scheduling algorithms and resource management;
• microprocessor, multiprocessor and multi-core architectures;
• distributed systems and sensor networks;
• paradigms, models and tools for software design.

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