• Level of education: Master programme
  • Type of instruction: Full-time
  • ECTS points: 120
  • Duration: 2 years
  • Language of instruction: English

Benefits of the programme

  • The programme aims to develop fundamental knowledge in management and up-to-date analytical tools used to inform managerial decisions. Graduates will be equipped with the knowledge of big data analytics tools and ability to use them to solve managerial tasks.
  • Academic staff with teaching experience in leading international business schools, including guest lecturers from top-ranking international business schools and seasoned practitioners from leading data-intensive companies.
  • Master thesis is a full-cycle big data research project. It is a case study of an existing private or state-owned company. This unique combination of theory and practical interdisciplinary project work will bring future graduates a broad spectrum of competencies to meet their professional goals.
  • The programme is taught in English in a cross-cultural environment enhancing the employability of graduates in the international job market.

Main courses

  • Statistical Data Analysis in Python
  • Machine learning
  • Processing of natural language and images
  • Introduction to Sectoral Analysis
  • Marketing analytics
  • Project Management
  • Contemporary strategic analysis
  • Managerial Economics
  • Design thinking
  • Knowledge Management
  • Enterprise architecture
  • Digital business
  • Data Mining and Visualisation
  • Technology Entrepreneurship
  • Marketing of Innovative Products

Key skills

  • Development of business strategy;
  • Identification and minimization of risks;
  • Business efficiency increase and business processes optimization;
  • Customer segmentation and market analysis;
  • Product value increase for customers;
  • New product and service creation.

Career opportunities

Graduates are well-placed to secure positions in business analytics and management of cross-functional teams. They can apply quantitative data analysis to provide effective solutions to a range of tasks, for example:

  • Development of a business strategy
  • Identification and minimization of risks
  • Enhancement of business efficiency and business processes optimization
  • Customer segmentation and market analysis
  • Enhancement of product value for customers
  • New product and service creation
Program taught in:
English

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Last updated March 14, 2019
This course is Campus based
Start Date
Sep 2019
Duration
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Full-time
Price
Deadline
July 6, 2019
Final deadline. For applicants for Russian Government scholarship: June 8.
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Start Date
Sep 2019
End Date
Application deadline
July 6, 2019
Final deadline. For applicants for Russian Government scholarship: June 8.

Sep 2019

Location
Application deadline
July 6, 2019
Final deadline. For applicants for Russian Government scholarship: June 8.
End Date