In the Master's programme in Applied Data Science and Analytics, you will acquire in-depth knowledge and an understanding of the entire data science process. You will learn how to apply mathematical, statistical, analytical and machine learning/deep learning techniques to gain insights from large and often unstructured data sets.

The data visualisation and storytelling part of this programme will enable you to use the data to provide stakeholders with valuable insights for decision-making. You will also learn in a practice-orientated way: You will work with real clients in project-based modules.

In addition, you will complete a three-month mandatory internship in a company of your choice and can also write your Master's thesis in collaboration with a company. This way, you will gain almost a year of professional experience during your studies.

Become a data scientist, data analyst, and more:

With a Master of Science in Applied Data Science and Analytics and a qualification at all levels of data science, you will have the best opportunities in all sectors, including the manufacturing industry, banks, insurance companies, the IT sector, consulting, public or industrial research institutes, the healthcare sector and at colleges and universities.

Graduates from previous years now work at ABB, Heidelberg Cement, Airbus, Accenture, Adidas, Audi, Bosch, BMW, BASF, Deloitte, Deutsche Börse, DKFZ, PWC, SAP and Verivox, as well as successful medium-sized companies. Our programme also qualifies you for a public sector position, research work, and doctoral programmes.

Possible fields of work:

• Data scientist
• Data analyst
• Data engineer
• Data architect
• Business intelligence developer
• Machine learning engineer
• Deep learning expert

Your modules:

The Master's programme in Applied Data Science & Analytics provides practical data analysis and management knowledge. The first semesters focus on case studies, statistics, machine learning, data visualisation basics, and big data programming with Python.

You will learn about databases, data collection and cleansing, followed by advanced topics such as text mining, big data architecture and interactive dashboards. You will also deal with data protection, ethics and international law. The final part is Advanced Data Visualisation, and you can choose between a case study or an internship.

This study programme prepares you for leadership roles in data science.