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

• 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. We teach our students like future managers in advanced analytics, rather than programmers or pure data scientists. 
• 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.

• Data Governance
• Statistical Programming in Python
• Industry Business Analytics
• Machine Learning and Big Data Analysis
• Contemporary Strategic Analysis
• Deep Learning for Business Applications
• IT Projects Management
• Data-driven Decision Making for Product Managers
• Introductory to Big Data Modern Technologies
• Enterprise Architecture and Business Models: based on Data Analysis
• Performance Management
• Visual Anaytical Mindset
• Digital Transformation and Innovative Entrepreneurship
• Design Thinking
• Financial Technologies
• Marketing Analytics
• Tech Startup Design

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

• The programme is internationally accredited by the European Quality Improvement System (EQUIS) as part of the institutional accreditation of the Graduate School of Management, the Certificate dated 16 November 2021
• The programme is internationally accredited by the Association to Advance Collegiate Schools of Business (AACSB) as part of the institutional accreditation of the Graduate School of Management, the Certificate dated 17 December 2021

There are more than 80 partners. Among them are:

• The Vienna University of Economics and Business (Austria)
• The Louvain School of Management, the Université catholique de Louvain (Belgium)
• The Faculty of Management, Economics and Social Sciences, the University of Cologne (Germany)
• The School of Business and Economics, Maastricht University (Germany)
• Copenhagen Business School (Denmark)
• IE Business School (Spain)
• Luiss Business School (Italy)
• The Chinese University of Hong Kong (CUHK) Business School (China)
• Rotterdam School of Management, Erasmus University (the Netherlands)
• BI Norwegian Business School (Norway)
•  Kozminski University (Poland)
• The Aalto University School of Business (Finland)
• Lappeenranta-Lahti University of Technology (Finland)
• ESC Rennes School of Business (France)

• As a graduation project, students complete a group project in teams of two to three people and solve real business problems provided by partner companies. Company representatives supervise and advise the project team and provide all necessary materials and data.

Double degree programme is temporarily suspended.

Students of the programme can take part in a double degree programme with Lappeenranta-Lahti University of Technology (Finland).

Lappeenranta-Lahti University of Technology (LUT) specialises in information technology and management. It successfully combines these areas of expertise in its academic and research activities.