Advanced Recommender Systems

EIT Digital is a pan-European innovation and education organization headquartered in Brussels that connects universities, research centers and industry to accelerate digital transformation. Established in 2010 as part of the European Institute of Innovation and Technology, it focuses on developing entrepreneurial digital talent and scaling deep tech ventures through its Master School and accelerator network. The institution supports transnational collaboration and cross-sector projects across Europe.

The EIT Digital Master School offers dual-degree programs that combine technical depth with innovation and entrepreneurship training, preparing graduates for leadership roles in digital industries. Students work on real-world challenges, collaborate with industry partners and develop startup skills through mentorship and business-focused modules. The accelerator programs help early-stage ventures scale with access to expert guidance, funding networks and market-oriented resources.

International students attracted to cutting-edge digital learning and entrepreneurial pathways will find a dynamic environment for building technical expertise and business acumen. EIT Digital emphasizes mobility, industry engagement and hands-on experience, making it an excellent option for those who want to launch technology ventures or pursue careers in Europe’s digital economy. The networked approach also creates opportunities for internships, collaboration and cross-border study.

The Advanced Recommender Systems program is a 1-week non-degree course for students interested in learning about recommender systems. It's taught in English and offered online by EIT Digital in Brussels, Belgium.

This program covers subjects like machine learning and data science, helping students develop skills in programming and algorithm design. Students will learn how to design and implement recommender systems, and work on projects to apply their knowledge and gain practical experience.

After completing this program, students can pursue careers as Recommender Systems Engineers, Data Scientists, Machine Learning Engineers, or Software Developers, and work for companies that specialize in e-commerce, advertising, or media streaming.