• Level of education: Master programme
  • Type of instruction: Full-time
  • 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 April 15, 2019
This course is Campus based
Start Date
Sept. 2019
Duration
Full time
Price
Deadline
June 8, 2019
Final deadline. For applicants for Russian Government scholarship.
By locations
By date
Start Date
Sept. 2019
End Date
June 1, 2021
Application deadline
July 6, 2019
Final deadline. For applicants on fee-paying basis.
Start Date
Sept. 2019
End Date
June 1, 2021
Application deadline
June 8, 2019
Final deadline. For applicants for Russian Government scholarship.

Sept. 2019

Location
Application deadline
June 8, 2019
Final deadline. For applicants for Russian Government scholarship.
End Date
June 1, 2021
Application deadline
July 6, 2019
Final deadline. For applicants on fee-paying basis.
End Date
June 1, 2021