In the master's program, the schedule can be flexibly arranged. Students can individually choose their areas of specialization from a wide variety of subjects. 

Compulsory modules 

DE-A Module Data Analysis
The module highlights the limitations of basic data analysis methods and teaches advanced methods and concepts of different data analysis paradigms in the areas of supervised learning, unsupervised learning, statistical data analysis, and interactive data exploration.
DE-S Module Big Data Systems
Big Data systems master the acquisition, processing, and storage of data through new technologies for large data (Volume), from heterogeneous sources (Variety), with high acquisition frequency and fast processing times (Velocity).
DE-M Data Management Module
This module teaches architectures and methods for distributed, parallel processing of data as established concepts for mastering Big Data. In addition, basic content on data management tasks such as those of data acquisition, data preparation, data transformation and data validation is taught.
DE-V Data Visualization Module
The module defines tasks and goals in the area of information visualization and teaches concepts and methods of visualization, such as graphical primitives, visual variables, dimensions of visualization, and forms of presentation for information.
DE-EG Module Ethics and Society
The module teaches ethical issues, for example in the relationship between state and citizen or company and citizen, especially from the perspective of modern data processing. The aim is to be able to ethically evaluate conflict situations in business and society caused by the use of data and to prevent such situations.
DE-RWM Module Law, Economics and Management
This module teaches legal and economic facts and concepts that are relevant in connection with the creation and distribution of software products as well as in the establishment and management of IT companies. Central contents are intellectual property law, software contract law as well as software licensing law.
DE-L Module Data Engineering Lab 
In the Data Engineering Lab, a team of students work together on a selected, research-related problem concerning Big Data systems from one of the Hasso Plattner Institute's specialist areas. The problem is analyzed, a solution is designed for a subarea, and this solution is implemented constructively and documented scientifically.

Areas of specialization

• Data analytics
• Data preparation
• Data security
• Scalable Data Systems
• Complex Data Systems

Professional Skills

• Communication
• Management and Leadership
• Design Thinking Basic & Advanced

Master thesis

An overview of all modules of the master program Data Engineering can be found here.

In order to earn a Master’s degree 120 credits are required

• 48 credits in the module group Data Engineering
• 2 specialization areas with 3 modules each (totaling 36 credits) :
  - Concepts and methods
  - Techniques and tools
  - Specialization
• 6 credits in soft skills modules
• 30 credits for the master’s project

You can find information on the application and selection procedure, and on the current study and exam regulations at the site Application to the Master’s Program.

The following special admission requirements apply to the master's degree program in Data Engineerint:

• A Bachelor's degree in IT Systems Engineering or an equivalent first university degree qualifying for a profession of at least 180 credit points.
• At least 6 credit points in the area of database systems and big data analytics (e.g. from the elective module "Database Systems" of the bachelor's degree program in IT Systems Engineering, or comparable modules from other degree programs).

Details regarding admission requirements can be found in the subject-specific admission regulations.

*In individual cases, the examination board can decide on comparable achievements.
 

All information on application as well as current study and examination regulations can also be found on the pages on application for the Master's program.

Further information on application as well as study and examination regulations can be found on the page Application for the Master's Program.