Master in Multilevel Modelling And Longitudinal Data Analysis

Vrije Universiteit Amsterdam is a research-led university situated in the heart of Amsterdam, founded in 1880 and welcoming more than 31,700 students including a large international cohort. Its long history combines academic tradition with modern interdisciplinary teaching across social sciences, humanities, law, business, and sciences. English-taught bachelor and master programs make it accessible to international applicants seeking a high-quality European education in a dynamic urban setting.

The university emphasizes research excellence and societal impact, with numerous institutes and centers that connect students to real-world challenges. Small-group teaching, problem-based learning options, and close supervision at graduate level support academic growth. International students can take advantage of dedicated services for visa advice, housing support, language courses, and career guidance that ease transition and enhance employability in the Netherlands and beyond.

Student life blends campus facilities with Amsterdam cultural vitality, including museums, startups, and multinational companies that offer internships and networking. Affordable public transport and a bicycle-friendly environment make daily life straightforward while campus clubs and student associations help newcomers build a community. Prospective international students should research program entry requirements early, prepare application documents and funding plans, and reach out to the international office to plan arrival and accommodation.

Professionals who complete this intensive course gain the practical ability to handle complex data structures common in public health, clinical research, and the social sciences. Graduates are equipped to execute sophisticated statistical analyses, providing them with the necessary skills to interpret results from randomised controlled trials (RCTs) and longitudinal studies, which are critical for evidence-based decision-making in clinical and research environments.

Practical Statistical Application

This programme is specifically designed for researchers and professionals seeking to move beyond theoretical knowledge. It provides a hands-on approach to multilevel modelling—often referred to as mixed model analysis—and longitudinal data analysis. Participants spend their mornings engaging with key concepts, while afternoons are dedicated to practical computer sessions using industry-standard software including STATA, SPSS, and R.

By focusing on application and interpretation rather than purely mathematical derivations, the course ensures that participants leave with the competence to:

• Select appropriate analytical strategies for multilevel data sets.
• Interpret complex outputs from multilevel and longitudinal models.
• Analyse and draw meaningful conclusions from RCT data.
• Utilise statistical software packages confidently to perform these analyses in their own professional practice.