Recruitment for the Master's Programs is realized provided there are groups with a minimum number of 5 persons.
Introducing Your Degree
Data sets grow rapidly - in part because they are increasingly gathered by cheap and numerous information-sensing mobile devices, aerial (remote sensing), software logs, cameras, microphones, radio-frequency identification (RFID) readers and wireless sensor networks. The world's technological per-capita capacity to store information has roughly doubled every 40 months since the 1980s; as of 2012, every day 2.5 exabytes (2.5x1018) of data are generated. One question for large enterprises is determining who should own big-data initiatives that affect the entire organization.
This programme provides an in-depth coverage of topics in big data from data generation, storage, management, transfer, to analytics, with focuses on the state-of-the-art technologies, tools, architectures, and systems that constitute big-data computing solutions in high-performance networks. Real-life bigdata applications in various domains (particularly in sciences) are introduced as use cases to illustrate the development, deployment, and testing of a wide spectrum of emerging big-data solutions.
- Introduction to Big Data
- Programming languages (Python)
- Data Base
- Foreign Language (Russian)
- Philosophical and methodological problems of science and technology
- Data Analysis Methods
- Distributed Systems and Cloud Computing
- Large Scale Data Bases
- Big Data Programming Tools
- Machine Learning// Imaging: Data Analytics and Pattern Recognition
- Big Data Analytics// Parallel Programming
- Data Visualization// Knowledge Management Systems
- Web Data Mining // Special Topics in Big Data
To be awarded to Master Degree a student should successfully complete all programme courses and modules and defend his/her Master thesis.
See description of a course / module where assessment methods and tools are specified.
A part of the Program can be studied at TPU Partner University. Please see all possibilities and regulations at www.ciap.tpu.ru
Evgeny S. Cherdyntsev email: email@example.com, phone: +7-3822-60-61-30
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