Data Science,MA

Admission requirements

The master's degree course 'Data Science' can only be started in winter semester. Admission requirements are:

• Basic knowledge of linear algebra, calculus, statistics, and programming
• Bachelor’s degree or a comparable qualification
• Proof of English language skills at B2 CEFR level or a comparable qualification*
• German language skills at DSH 1 level (equivalent to B2 CEFR)*

Further information on admission and language proficiency requirements for foreign applicants is available on this page.

This master’s degree course is about…

The master’s degree course Data Science takes an interdisciplinary approach, recognising that data-driven solutions are applicable across a wide range of fields and industries. By combining core principles from statistics, computer science, mathematics, and domain-specific knowledge, this degree course equips students with the tools and expertise needed to tackle complex problems in various domains such as healthcare, finance, business, engineering, and social sciences.

What students can expect

Compulsory modules

1. Mathematics of Artificial Intelligence
2. Machine Learning
3. Fundamentals of Artificial Intelligence and Data Science
4. Databases
5. Bayesian Modelling
6. Interdisciplinary Data Science
7. Interdisciplinary Projects
8. Master's Dissertation

Compulsory Elective Modules

1. Deep Learning and Generative Artificial Intelligence
2. Machine Learning for Time Series
3. Fundamentals of Natural Language Processing
4. Software Engineering for Data Science
5. Bayesian Econometrics
6. Computational Physics
7. Multivariate Statistics
8. Data Structures and Efficient Algorithms
9. NoSQL Databases
10. Natural Language Processing
11. Software Engineering
12. Biometry
13. Algorithms and Programming