Master in Business Analytics and Big Data — MIBA

Saint Petersburg University

Program Description

Master in Business Analytics and Big Data — MIBA

Saint Petersburg University

BENEFITS OF THE PROGRAMME

  • The MiBA 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 expert practitioners.
  • 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

  • Machine Learning
  • Social Networks Data Analytics
  • Real-Time Analytics and the Internet of Things
  • Natural Language Processing
  • Data Mining and Visualisation
  • Sectoral Analysis
  • Project Management
  • Marketing of Innovative Products
  • Technological Innovation and Entrepreneurship
  • Knowledge Management
  • Strategic Analysis
  • Managerial Economics

KEY SKILLS

Theoretical and practical knowledge and skills sufficient for performing the following tasks:

  • Determining the direction and strategies of business development
  • Risk identification and minimization
  • Business efficiency improvement and business processes optimization
  • Customer segmentation and consumption analysis
  • Increasing the value of the company’s products for customers
  • Development of new products and services

PRACTICAL TRAINING AND 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
This school offers programs in:
  • English


Last updated May 16, 2018
Duration & Price
This course is Campus based
Start Date
Start date
Sept. 2018
Duration
Duration
Full time
Price
Price
Information
Deadline
Locations
Russia - Saint Petersburg, Sankt-Peterburg
Start date : Sept. 2018
Application deadline Request Info
End date Request Info
Dates
Sept. 2018
Russia - Saint Petersburg, Sankt-Peterburg
Application deadline Request Info
End date Request Info