STUDY PROGRAM: 21–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 With the development of modern technologies in the field of computer systems and information technologies (IT), there is a serious need for a solid engineering staff that would actively participate in the development of solutions for advanced data analysis and the creation of intelligent algorithms in the field of artificial and machine intelligence, thereby creating added value on the data itself as well as discovering new knowledge hidden in that data. With the help of these advanced solutions, companies make data-driven decisions and become more competitive and profitable. In addition to the necessary aspects for developing and implementing solutions in the field of data science, the following important areas will also be covered by the degree programme: • Analysis, design and implementation of solutions and algorithms in the field of data science applied in various industry sectors and domains;
Semester 1 Mandatory courses Elective courses
Mandatory courses
• Development and implementation of solutions and algorithms in the field of machine learning and machine intelligence;
• Development and implementation of solutions and algorithms in the field of deep learning with artificial neural networks;
• Distributed and parallel data processing;
• Image and video processing using machine intelligence algorithms;
• Speech processing using machine intelligence algorithms;
• Text and natural language processing using machine intelligence algorithms;
• Knowledge and application of optimization algorithms;
• Application of the developed solutions and systems in different industries and domains.
The need for educated personnel in the field of data science is easily noticeable in the academic world (at the universities), but it is also evident in the industry. The curriculum of the second cycle of studies in Data Science in Electrical Engineering and Information Technologies will enable the students to acquire skills for advanced analysis of data of various types (tabular, multimedia, image, video, speech, natural languages, etc.), and finally, knowledge and skills for developing smart and intelligent systems using algorithms and approaches from machine learning and artificial intelligence. Modern and state-of-the-art technologies and algorithms from several important areas will be covered, such as intelligent systems, smart devices, sensors and sensor systems, information systems, databases and big data, data processing and analysis, computing and cloud processing. The students will also be competent to work in inter-disciplinary teams. The studies would enable the students to further continue their informal education in the field of data science (courses, trainings…), but also to resume their formal education in the third cycle of studies, doctoral studies.
Code
Title
ECTS
No of classes per week
Total necessary time (hour)
4ФЕИТ07012
Data Science and Machine Learning
6
3+3
180
4ФЕИТ07001
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
15+15
900
Code
Title
ECTS
No of classes per week
Total necessary time (hour)
4ФЕИТ07004
Artificial Intelligence and Deep Learning
6
3+3
180
4ФЕИТ08009
Mathematical Methods for Machine Learning
6
3+3
180
4ФЕИТ07011
Parallel and Distributed Machine Learning
6
3+3
180
4ФЕИТ01006
6
3+3
180
4ФЕИТ11002
Cognitive Computing in ICT
6
3+3
180
4ФЕИТ11003
Convex Optimization with Applications
6
3+3
180
4ФЕИТ07008
Advanced Virtualization Concepts and DevOps
6
3+3
180
4ФЕИТ05006
Biometrics and Video Surveillance
6
3+3
180
4ФЕИТ01007
Computational Intelligence
6
3+3
180
4ФЕИТ05017
Deep Learning Based Machine Vision
6
3+3
180
4ФЕИТ07015
Data Warehouse and Purpose-built Data
6
3+3
180
4ФЕИТ07002
Security and Reliability of Computer Communication Systems
6
3+3
180
4ФЕИТ07006
System Design Concepts for the Internet of Things
6
3+3
180
4ФЕИТ05010
Digital Speech Processing
6
3+3
180
Code
Title
ECTS
No of classes per week
Total necessary time (hour)
4ФЕИТ21
Research Project in the Field of Data Science in Electrical Engineering and Information Technologies
6
0+6
180
4ФЕИТ00
Master’sThesis
24
720
Total
30
900
Data Science in Electrical Engineering and Information Technologies
ObjectivesIII