Big Data and Business Analytics University of Amsterdam

Overview

The M.Sc. in Big Data and Business Analytics at the University of Amsterdam is tailored to meet the growing demand for data-driven decision-making in businesses. This programme is rooted in the principles of data science, enabling students to tackle complex business challenges through analytical techniques and computational methods. Graduates emerge with a unique skill set that blends technical prowess with business acumen, making them highly attractive to employers.

The University of Amsterdam is renowned for its academic excellence and innovative research in economics and data science. The programme is part of the Amsterdam School of Economics, which boasts strong partnerships with industry leaders, providing students with access to cutting-edge resources and networking opportunities. The university's commitment to research and its state-of-the-art facilities further enhance the learning experience, ensuring that students are well-prepared for the challenges of the modern business landscape.

The tuition fees for the M.Sc. in Big Data and Business Analytics are structured as follows:

• International students: EUR 21,885 per year
• European students: EUR 2,601 per year

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

The curriculum of the M.Sc. in Big Data and Business Analytics comprises a mix of core and specialised courses. Students will engage in both general and track-specific modules, which include:

• Business Analytics
• Data Science

This structure ensures a comprehensive understanding of both the theoretical and practical aspects of data analytics in a business context.

Graduates of the M.Sc. in Big Data and Business Analytics can pursue a variety of career paths in sectors such as finance, consulting, and technology. Alumni have found positions in prominent organisations, utilising their expertise to drive data-informed strategies and solutions. The programme prepares students for roles such as data analyst, business intelligence consultant, and data scientist, equipping them with the skills necessary to thrive in an increasingly data-centric world.