Information Systems and Technologies
Engineering, Technology and Engineering Sciences
Engineering School of Information Technologies, Telecommunications and Control Systems
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/
Master 09.04.02 Information Systems and Technology
2 years full-time
Istitute of radioelectronics and information technologies
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.