Data science

Given the explosive growth of digital data worldwide, gaining insights from this data and making strategic decisions is crucial for companies and organizations. While the volume of digital data generated worldwide amounted to 33 zettabytes in 2018, the volume was already 126* in 2023 and is expected to rise to 284* zettabytes by 2027. Well-trained data scientists play a central role in this. Our certificate program offers a unique opportunity to learn modern computational methods for data analysis, prediction, and visualization. Developed in close collaboration with renowned professors from TUM’s Department of Mathematics and experts from the field, our program offers a comprehensive curriculum that combines theoretical knowledge with practical application. With a strong focus on current research findings and real-world challenges, our learning objectives are designed to equip you with the necessary skills to succeed in the fast-paced world of data analytics.

The certificate program is designed to provide you with a solid understanding of modern computational methods for analyzing, predicting, and visualizing data. You will learn fundamental statistical principles, broadly applicable statistical methods, modern prediction methods from machine learning, and optimization and randomization tools through a combination of theoretical concepts and practical application. The program aims to equip you with the skills to solve big data analytical problems and make informed decisions based on data.

Nongraded

Participants should have a strong foundation in mathematics and have studied fields such as mathematics, informatics, engineering, or management with a focus on mathematics, among others.