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Big Data Solutions
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MASTERS

Big Data Solutions

Tomsk Polytechnic University
Tomsk, Russia
Full-time
€1,746.34/year
 1271 Points
Duration
2 Years
Language
English

Program Description

This program provides in-depth coverage of topics, related to Big Data, including data generation, storage, management, and transfer to analytics, with focus on the state-of-the-art technologies, tools, architectures, and systems that constitute big-data computing solutions in high-performance networks. Real-life Big Data applications in various areas (particularly in science) are considered using cases to illustrate the development, deployment, and testing of a wide spectrum of emerging Big Data solutions.

Entry Requirements

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Education
Bachelor's Degree
6
or
Degree from State Technical Institute
6
English Level
Cambridge Proficiency (CPE)
C
or
Cambridge Advanced (CAE)
C
or
TOEFL (paper based)
500
or
IELTS
5.5
or
TOEFL (internet based)
55
Notes:

Additional Prerequisites:

  • Passing score on interdisciplinary admission exam (score varies based on the number of applicants).
  • Health insurance coverage for the duration of your studies.

Selection process:

  • All individuals are selected for their results of TPU Entrance Exams.

Additional selection criteria:

  • GPA in Bachelor Program; relative merits and abilities of the applicant, approved by certificates.

Alternative Language Qualifications:

  • Passing score on entrance examination administered by Tomsk Polytechnic University.

Curriculum

Core Modules

Introduction to Big Data

Programming languages (Python)

Data Bases

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

Optional Modules

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

Careers

Career fields and types of organizations: science, business.

Positions:

  • Big Data analyst
  • Big Data programmer
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