Data Science in Electrical Engineering and Information Technologies

ObjectivesIII

STUDY PROGRAM: 25 – Data Science in Electrical Engineering and Information Technologies

Duration: 1 year

ECTS points: 60 ECTS

Degree: Master of Science in Electrical Engineering and Information Technologies in the field of Data Science in Electrical Engineering and Information Technologies

Mandatory courses
Code Title ECTS No of classes per week Total necessary time (hours)
4ФЕИТ07012A Data Science and Machine Learning 6 3+3 180
4ФЕИТ07001A Ambient Intelligence and Smart Devices 6 3+3 180
Elective course 1 6 3+3 180
Elective course 2 6 3+3 180
Elective course 3 6 3+3 180
Total 30 900
Elective courses
Code Title ECTS No of classes per week Total
necessary
time (hours)
4ФЕИТ07004А Artificial Intelligence and Deep Learning 6 3+3 180
4ФЕИТ08009А Mathematical Methods for Machine
Learning		 6 3+3 180
4ФЕИТ07011А Parallel and Distributed Machine Learning 6 3+3 180
4ФЕИТ01006А Intelligent Control in Modern Robotics 6 3+3 180
4ФЕИТ11002А Cognitive Computing in ICT 6 3+3 180
4ФЕИТ11003А Convex Optimization with Applications 6 3+3 180
4ФЕИТ07008А Advanced Virtualization Concepts and
DevOps		 6 3+3 180
4ФЕИТ05006А Biometrics and Video Surveillance 6 3+3 180
4ФЕИТ01007А Computational Intelligence 6 3+3 180
4ФЕИТ05017А Deep Learning based Machine Vision 6 3+3 180
4ФЕИТ07015А Data Warehouse and Purpose-built Data 6 3+3 180
4ФЕИТ07002А Security and Reliability of Computer
Communication Systems		 6 3+3 180
4ФЕИТ07006А System Design Concepts for the Internet of Things 6 3+3 180
4ФЕИТ05010А Digital Speech Processing 6 3+3 180

Mandatory courses
Code Title ECTS Number of classes per week Total necessary time (hours)
4ФЕИТ25А Research project in the field of Data Science in Electrical Engineering and Information Technologies 6 0+6 180
4ФЕИТ00А Master thesis 24 720