About
Start: 1 September 2020
Degree: Master
Duration: 2 years
ECTS: 120
Language: English
Application deadline:
Contact: marukhina@mail.tsu.ru
Curriculum
Big data refers to the massive amounts of information becoming available as people use the internet and computers more. This data can generate powerful insights in domains ranging from business and entertainment to politics and healthcare. However, the amount of data being captured today is ever-increasing and extends beyond the storage and analyzing capacity of traditional applications.
This Master program is aimed at training specialists in the field of Big Data and Data Science.
Data Science is a rapidly growing field and job market. Successful career in data science starts with obtaining a solid knowledge and skill base, that can be offered by a combination of classic education and modern practically oriented interactive learning. If you want to start you career path in the exciting new area the right way – you can join our course. Upon the completion of our program you’ll be able to choose the best application for your skills in research, business, analytics or technical area.
The program Big Data & Data Science includes various branches of data analysis and machine learning and has three academic tracks («Industry 4.0», «Bioinformatics and Biomedicine», «Social Media»).
«Industry 4.0»
Majors (Core courses):
Digital Signal Processing
High Performance Computing
Research Topics in Industry 4.0 (Industrial Data Analysis)
Research Topics in Industry 4.0 (VR/AR technologies)
Research Topics in Industry 4.0 (Digital Image and Video Processing)
«Bioinformatics and Biomedicine»
Majors (Core courses):
Fundamentals of Molecular Spectroscopy
Modeling of molecular targets for medical diagnostics and therapy
Research Topics in bioinformatics
Research Topics in biomedicine
«Social Media»
Majors (Core courses):
Social Network Analysis 1
Data mining in Social Media 1
Research Topics in Social Media : Methodology of Social Media research
Research Topics in Social Media : Preparation of research tools
Faculty
July 10, 2017 on the basis of the Faculty of Informatics and the Faculty of Applied Mathematics and Cybernetics of TSU, the Institute of Applied Mathematics and Computer Science (IPMC) was formed. The Faculty of Applied Mathematics as a structural subdivision of TSU was established on July 3, 1970. In the early 1980's it was renamed to the Faculty of Applied Mathematics and Cybernetics. In 1986 the Faculty of Informatics was formed as an educational and scientific complex "Informatics" on the basis of the Department of Programming and Informatics, the Department of Economic Cybernetics, the Laboratory of Computing Systems, and the Computing Center of TSU, in 1992 it was reorganized into the Informatics Department.
The staff of the Institute are 114 teachers, including 31 Professors and 55 associate professors.
Institute staff carry on active research. The main areas of research in the field of Big Data & Data Science are development of theoretical and technological fundamentals of artificial intelligence, big data preprocessing and analysis methods and models, machine learning and semantic data systems methods and models, pattern recognition and classification, technologies for automated detection and classification of ground and overwater objects using statistical and neural network algorithms.
Admissions
Required documents (to be submitted online):
1) a passport copy;
2) a diploma copy (OR a registrar-issued transcript of grades for the last semester); upon arrival students must provide the admissions committee with an original document;
NOTE! documents received in a foreign country are submitted legalized in accordance with the procedure established by the legislation of the Russian Federation, or with the apostille (except when, in accordance with legislation of the Russian Federation and (or) an international treaty legalization and apostille are not required)
3) certified translation of the diploma and the passport into Russian language (can be submitted upon the arrival)
4) a completed application form (online)
5) other diplomas and certificates proving any other achievements (if available)
6) motivation letter
7) entrance exams:
- an interview
Costs and Fundings
Tuition fee per year is 196 700 rubles.
Scholarships are available via the Russian government scheme.