Analyse data, build statistical models, develop machine learning pipelines, and understand the mathematical foundations that underpin all of it — Mathematics, Statistics, and Data Science are three related but clearly distinct paths. What they share is this: Germany urgently needs people who can think and work at that level.

The shortage of qualified professionals in data-driven fields is structural — not seasonal, but the result of an economy undergoing fundamental digitalisation. Companies like SAP, BMW, Allianz, and Siemens, alongside research institutions like the Max Planck Society and Helmholtz centres, are looking for graduates who do not just use tools but truly understand what lies behind the data.

You will learn:

• What Mathematics, Statistics, and Data Science programs in Germany cover and how they differ — from pure mathematics and statistics to applied data science and AI specialisations
• Which tools and methods are taught — Python, R, SQL, machine learning, statistical modelling, and more
• Which career paths graduates move into — Data Scientist, Statistician, Quantitative Analyst, AI Developer, Risk Analyst, and many more
• How the admissions process works — entry requirements, language certificates, and application timelines
• Live Q&A — ask your questions directly to the people who run these programs

Come with your questions. Leave with a plan.