Business Analytics and Big Data Saint-Petersburg University

Overview

The Master of Science in Business Analytics and Big Data (MiBA) at Saint-Petersburg University offers a unique opportunity for students to delve into the world of big data analysis and management. This programme is meticulously crafted for individuals seeking to develop their managerial skills while acquiring a robust technological foundation in data analytics. The course spans two years and is delivered in English, fostering a cross-cultural learning environment that prepares graduates for the global job market.

Saint-Petersburg University is renowned for its academic excellence and has secured a prominent position in various global rankings. The university's Graduate School of Management is accredited by prestigious bodies such as the European Quality Improvement System (EQUIS) and the Association to Advance Collegiate Schools of Business (AACSB). This accreditation underscores the high standards of education and the quality of the curriculum offered. Furthermore, the university boasts partnerships with over 80 international institutions, enhancing the educational experience through collaborative projects and exchanges.

The facilities available to students are state-of-the-art, with access to advanced technology platforms that facilitate hands-on learning in big data analytics. Students engage with real-world data from partner companies, allowing them to apply theoretical knowledge to practical challenges. The university's commitment to providing a rich learning environment is evident in its use of cloud-based platforms for exploring modern big data and machine learning solutions.

The tuition fees for the Master in Business Analytics and Big Data are as follows:

• National students: RUB 541,200 per year
• International students: RUB 608,700 per year

Visit the Fees and Funding section for a breakdown in your local currency.

The curriculum is designed to equip students with a comprehensive understanding of business analytics and big data management. Key courses include:

• 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
• Introduction to Big Data Modern Technologies
• Enterprise Architecture and Business Models: based on Data Analysis
• Performance Management
• Visual Analytical Mindset
• Digital Transformation and Innovative Entrepreneurship
• Design Thinking
• Financial Technologies
• Marketing Analytics
• Tech Startup Design

Graduates of the MiBA programme are well-prepared for a variety of roles within the business analytics domain. They can pursue careers as:

• Project/Product Manager in Big Data, Advanced Analytics, and Data Science
• Business Consultant
• Business Analyst
• Chief Data Officer
• Chief Innovation Officer
• Chief Product Officer

Alumni have successfully secured positions in leading companies, leveraging their skills in quantitative data analysis to enhance business strategies, optimise processes, and drive innovation across various sectors.