Business Analytics and Big Data Systems HSE University

Overview

The Business Analytics and Big Data Systems programme at HSE University is designed to address the burgeoning need for skilled professionals who can leverage large volumes of data to enhance business operations. With the rapid growth of data in various sectors, this programme aims to equip students with the analytical skills and technical knowledge necessary to thrive in a data-driven world.

Why Business Analytics and Big Data Systems at HSE University?

HSE University is renowned for its academic excellence, consistently ranking among the top institutions globally. The Business Analytics and Big Data Systems programme is distinguished as the only master's course in Russia to feature in the QS World University Rankings for Business Masters, specifically in Business Analytics. This recognition underscores the programme's quality and the university's commitment to providing a robust educational experience.

The programme benefits from strategic partnerships with leading technology firms, including Huawei, SAP, and Oracle. These collaborations ensure that students have access to the latest tools and technologies in big data analytics, enhancing their learning and practical experience. The curriculum is designed to be interdisciplinary, combining aspects of mathematics, IT, and business management, thus preparing graduates to bridge the gap between technical and managerial roles.

Tuition Fee Breakdown

The tuition fee for international students is set at RUB 325,000 per year. Visit the Fees and Funding section for a breakdown in your local currency.

Syllabus

The curriculum includes a blend of core courses and electives tailored to equip students with comprehensive knowledge and skills in business analytics. Key components of the syllabus are:

• Economic and Mathematic Modelling
• Enterprise Architecture Perfection
• Methods and Tools for the Intellectual Analysis of Big Data
• Strategic Innovation Management
• System Analysis and Organization Design

Electives available for students include:

• Advanced Data Management
• Applied Blockchain in the Modern Enterprise Architecture
• Applied Machine Learning
• Big Data Based Marketing Analytics
• Cloud Technologies
• Data Analytics and Visualization for Business
• Leadership and Project Team Management
• Neural Networks and Deep Learning
• Predictive Modelling

Additionally, bridging courses such as Analysis for Business Systems and Python for Data Science and AI are included to ensure students have a solid foundation in essential skills.

Careers with Business Analytics and Big Data Systems

Graduates of this programme are well-prepared for various roles across industries, including positions as data analysts, business intelligence consultants, and digital transformation leaders. They possess the skills necessary to drive data-centric initiatives within organisations, making them highly sought after in both Russian and international markets. Alumni have found success in diverse sectors, utilising their expertise to facilitate data-driven decision-making and innovation.

Accreditation

State Accreditation