24 monthsProgramme duration
SepStarting Month
Programme overview
Main Subject
Education and Training
Degree
MSc
Study Level
Masters
Study Mode
On Campus
The SmartEdTech MSc addresses public, social and economic issues in a participative and creative way, to build the education of tomorrow. We are offering a program based on the disruptive pedagogy that is made possible by digital learning.This MSc program puts smart educational technologies at the heart of its training activities in order to improve today's education for everybody and to create the education of tomorrow.
A threefold scientific approach: - In computer science, students will not only master the tools, but also to acquire skills in order to develop digital technologies in education and to create the added educational value for tomorrow's content and tools. This includes working with the support of machine learning algorithms and applying them to data generated during the learning and evaluation processes. - In educational science, students will acquire tools to precisely analyse educational innovation (with or without validation). - In applied cognitive science, students will benefit from the latest developments in neuroscience and behavioral psychology to propose effective and human solutions.
Programme overview
Main Subject
Education and Training
Degree
MSc
Study Level
Masters
Study Mode
On Campus
The SmartEdTech MSc addresses public, social and economic issues in a participative and creative way, to build the education of tomorrow. We are offering a program based on the disruptive pedagogy that is made possible by digital learning.This MSc program puts smart educational technologies at the heart of its training activities in order to improve today's education for everybody and to create the education of tomorrow.
A threefold scientific approach: - In computer science, students will not only master the tools, but also to acquire skills in order to develop digital technologies in education and to create the added educational value for tomorrow's content and tools. This includes working with the support of machine learning algorithms and applying them to data generated during the learning and evaluation processes. - In educational science, students will acquire tools to precisely analyse educational innovation (with or without validation). - In applied cognitive science, students will benefit from the latest developments in neuroscience and behavioral psychology to propose effective and human solutions.
Admission Requirements
Prerequisites for enrolment
- Undergraduate level, Graduate level
- Candidates are required to submit references or letter(s) of recommendation for acceptance
Scholarships
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