Intelligent Information Systems and Technologies of Functional Diagnostics and Neurorehabilitation

Program description:

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Area of studies:
09.04.02
Information Systems and Technologies
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Branch of science:
Engineering, Technology and Engineering Sciences
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Institute:
Engineering School of Information Technologies, Telecommunications and Control Systems
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Degree awarded:
Master's degree
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Intake Year:
2019-2020
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Mode and duration of study:
Full-time
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Languages:
Russian

Overview

The course will provide you with skills suitable for a research career in the exciting and growing field of information technologies for human health & wellness and neurorehabilitation.

You will be trained in advanced information and mathematical techniques including embeded real-time system, statistics and machine learning, brain signal processing.

The course will provide you with skills suitable for a career in the medical device & software industry; startups in field of computer vision, brain computer interfaces, non-invasive methods for diagnostics and correction of human central (CNS) and autonomic nervous systems (ANS).

Official site https://rtf.urfu.ru/bioeng/en/master-course/

Qualification

Master 09.04.02 Information Systems and Technology

Duration

2 years full-time

Start date

September

School/department

Istitute of radioelectronics and information technologies

Course details

The course is offered on a full-time basis over two years and comprises 120 credits, split across 60 credits worth of core modules and a 60-credit research project and research activities.

Система Orphus