24 monthsProgramme duration
SepStarting Month
Programme overview
Main Subject
Engineering - General
Degree
MSc
Study Level
Masters
Study Mode
On Campus
Smart Systems Integration is a multi-disciplinary field, which requires contributions from several fields of the traditional engineering disciplines. Emphasis is placed on electrical engineering subjects, with focus on the electrical interfaces, signal processing, sustainable electronics and the design for reliability. Mechanical engineering topics are included to understand the functionality and design of sensors and actuators with the aid of multiphysics modelling, as well the assembly and packaging of devices. Computer engineering contributes to the understanding of data processing and connectivity through the Internet of Things/Everything. Bioengineering topics are crucial for the teaching of biomedical smart systems, and knowledge of chemical engineering topics is considered for the manufacture of micro/ nano systems being essential sub-components of Smart Systems. Finally, system-level design, assembly and integration of these disparate parts of technology will be critical for the successful production of Smart Systems.
The main learning outcomes of SSIs are:
Advanced knowledge in microsystems technology, microelectronics, functional and physical integration, coding and their interplay Ability to define, model, and design a Smart System that is intended to solve a given complex practical and theoretical problem Expertise in the state of the art research to push existing frontiers in the field Skills to perform a critical assessment and choice of the required analysing tools, methods, models and calculations Transferable skills, e.g. entrepreneurship, scientific writing, communication, collaboration and leadership in inter-disciplinary, multicultural and international teams.
The main learning outcomes of SSIs are:
Advanced knowledge in microsystems technology, microelectronics, functional and physical integration, coding and their interplay Ability to define, model, and design a Smart System that is intended to solve a given complex practical and theoretical problem Expertise in the state of the art research to push existing frontiers in the field Skills to perform a critical assessment and choice of the required analysing tools, methods, models and calculations Transferable skills, e.g. entrepreneurship, scientific writing, communication, collaboration and leadership in inter-disciplinary, multicultural and international teams.
Programme overview
Main Subject
Engineering - General
Degree
MSc
Study Level
Masters
Study Mode
On Campus
Smart Systems Integration is a multi-disciplinary field, which requires contributions from several fields of the traditional engineering disciplines. Emphasis is placed on electrical engineering subjects, with focus on the electrical interfaces, signal processing, sustainable electronics and the design for reliability. Mechanical engineering topics are included to understand the functionality and design of sensors and actuators with the aid of multiphysics modelling, as well the assembly and packaging of devices. Computer engineering contributes to the understanding of data processing and connectivity through the Internet of Things/Everything. Bioengineering topics are crucial for the teaching of biomedical smart systems, and knowledge of chemical engineering topics is considered for the manufacture of micro/ nano systems being essential sub-components of Smart Systems. Finally, system-level design, assembly and integration of these disparate parts of technology will be critical for the successful production of Smart Systems.
The main learning outcomes of SSIs are:
Advanced knowledge in microsystems technology, microelectronics, functional and physical integration, coding and their interplay Ability to define, model, and design a Smart System that is intended to solve a given complex practical and theoretical problem Expertise in the state of the art research to push existing frontiers in the field Skills to perform a critical assessment and choice of the required analysing tools, methods, models and calculations Transferable skills, e.g. entrepreneurship, scientific writing, communication, collaboration and leadership in inter-disciplinary, multicultural and international teams.
The main learning outcomes of SSIs are:
Advanced knowledge in microsystems technology, microelectronics, functional and physical integration, coding and their interplay Ability to define, model, and design a Smart System that is intended to solve a given complex practical and theoretical problem Expertise in the state of the art research to push existing frontiers in the field Skills to perform a critical assessment and choice of the required analysing tools, methods, models and calculations Transferable skills, e.g. entrepreneurship, scientific writing, communication, collaboration and leadership in inter-disciplinary, multicultural and international teams.
Admission Requirements
6.5+
68+
4.5+
Eligibility: Relevant Bachelor's degree
2 Years
Sep
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