Master's Degree in Electronic Engineering – Electronic Technologies for Big-Data and Internet of Things

University of Bologna

Program Description

Master's Degree in Electronic Engineering – Electronic Technologies for Big-Data and Internet of Things

University of Bologna

Students of EBIT, an international program fully-taught in English, will attain knowledge in the basic issues related to advanced micro-nano-electronic devices, solid-state sensors and biosensors, including reliability features. They will as well acquire skills in the modelling and design of digital and analog integrated circuits, advanced telecommunication systems, artificial intelligence and software engineering applications, automation systems and bioengineering.

Learning activities

EBIT is a 120 credits, four-semester programme, consisting in core classes (60 credits), curriculum classes (18 credits), elective classes (12 credits), general-culture classes (9 credits) and a Master thesis (21 credits).
The core classes are mainly concentrated in the first year and aim to consolidate basic knowledge. During their second-year students can choose their curriculum classes mostly in the field of electronics and telecommunications with options in automation and robotics, computers
and information processing, and bioengineering.

The classes are organized with lectures, practice, design and laboratory activities.

Electronic technologies for Big-data and Internet of things (E-BIT) is a two-year international curriculum offered as part of the graduate programme in "Ingegneria Elettronica". The programme is addressed both to Italian students that want to anticipate their contact with the International environment in which their career will develop, and to foreign students that want to take the opportunity of studying Electronic Engineering at graduate level in a European Country.

Objectives of the Master

Students of E-BIT will attain deep knowledge in electronic technologies related to the development and design of electronic devices, solid-state sensors, circuits and systems employed for acquisition, reliable storage and processing of the big data generated by Internet-of-Things applications. Several other challenges related to these issues, such as security, wireless sensor networks, automation systems, advanced computer architecture etc. will be addressed in elective courses. A class taught by experts from leading Companies or Institutions will also be offered, thus enabling students to acquire an industrial perspective of the challenges and best practices in the field.

Admission requirements

A Bachelor's Degree and official evidence of English language proficiency are required. For further information about applications deadlines and documents to be submitted, please browse on: http://corsi.unibo.it/2Cycle/ElectronicEngineering

Career opportunities

E-BIT graduates will be fully qualified to work in national and international companies whose core business is the design and development of electronic devices, circuits, systems and infrastructures for big data acquisition, storage and processing from and for Internet-of-Things applications. Moreover, they will possess the general skills needed to contribute effectively to all working activities employing electronic technologies and infrastructures, for an even larger variety of electronic applications, within public or private research Institutes, public Agencies, Academia. Their responsibilities will range from design to research, development, management and teaching.

Learning activities

The core classes are mainly concentrated in the first year and aim at consolidating basic knowledge. During their second year, students can choose their curriculum classes mostly in the field of electronics and telecommunications with options in automation and robotics, computers and information processing, bioengineering. The classes are organized with lectures, practice, design and laboratory activities.

Furthermore, lectures will be delivered by experts from leading Companies or Institutions, including:

  • R. Aitken - Research & Development Fellow at ARM;
  • F. Albanese - Senior Manager at DataLogic;
  • J. Alt - DfT Methodology Lead at Intel;
  • Cuomo - Executive Vice-President of STMicroelectronics;
  • O. Losco - Product Manager at Airbus Defence and Space;
  • Y. Zorian - Fellow & Chief Architect at Synopsys Inc and President of Synopsys Armenia.

Such classes will, therefore, allow students to acquire an industrial perspective of the challenges and best practices in the field.

This school offers programs in:
  • English


Last updated September 27, 2018
Duration & Price
This course is Campus based
Start Date
Start date
Duration
Duration
2 years
Full time
Price
Price
3,250 EUR
Information
Deadline
Locations
Dates