Master in Business Analytics and Big Data — MiBA (English)

38.04.02In english

Level of education Master

Type of instruction Full-time

Duration 2 years

Benefits of the programme
  • The programme is aimed at developing fundamental knowledge in the field of management as well as modern analytical tools used to solve managerial problems. Alumni will possess practical skills and methods for processing big data and applying analytical tools in solving managerial tasks.
  • Technology platform. Using a cloud-based platform to dive into the specifics of modern big data analytics solutions allows students to explore the modern stack of Big Data / ML / AI solutions technologies. The computing resources of the platform are also involved in the implementation of the graduation project and other tasks on the industrial data of partner companies.
  • The programme provides technology courses on the development and implementation of machine learning models, courses on working with big data and their visualization. For more efficient entry into the learning process, the program provides introductory courses «Development Essentials» and «Management Essentials».
  • All courses of the programme are implemented with the participation of employees of the leading Russian and international companies. For example, the number of MiBA professors include the heads of Data Science and Data Governance projects of “Yandex”, “Odnoklassniki”, “JetBrains”, and “VTB”. In addition, guest lectures are a traditional practice in the process of studying on the programme.
  • For the successful completion of the program as part of the Master programme's graduation project, it is supposed to implement a full-cycle project in the field of big data analysis using the example of a real company or a state corporation. This is a unique element of the program, thanks to which the alumnus or alumna, after completing his or her studies, will have not only theoretical knowledge, but also practical skills in the implementation of interdisciplinary projects.
  • The programme is implemented in English in a cross-cultural environment, which helps to enhance the competitiveness of alumni in the international job market.
  • Students of the programme can take part in a double degree programme with Lappeenranta University of Technology (Finland)
  • Students can, on a competitive basis, take a semester of study abroad at one of the leading universities / business schools included in a wide list of academic partners of St Petersburg University.
Main academic 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

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

  • Proficiency in big data processing and analysis tools
  • Estimating the value of analytics results in terms of business
  • Making managerial decisions based on data
  • IT Project Management
  •  
Practical training and future career

Alumni are well-placed for positions in business analytics and cross-functional team management.

They can apply quantitative data analysis to provide effective solutions to a range of tasks, such as:

  • Business strategy development.
  • 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.
  • Key positions
  • Project / Product Manager in Big Data, Advanced Analytics, and Data Science
  • Business Consultant
  • Business Analyst
  • Chief Data Officer
  • Chief Innovation Officer
  • Chief Product Officer
Accreditation

The programme is internationally accredited by the European Quality Improvement System (EQUIS) and Association to Advance Collegiate Schools of Business (AACSB).