Process engineering is undergoing a fundamental transformation driven by new digital technologies that are becoming available at a rapid pace. At the core of this transition is data – from their acquisition over their handling and analysis way to their employment for developing and training methods from artificial intelligence and machine learning. This transformation requires changing the way process engineers are educated. With DPE, we offer an interdisciplinary Master's program tailored to the requirements of this transformation, which is unique in Germany. The courses, which will all be held in English, cover, among others:

• Physical, data-driven, and hybrid modeling and simulation in process engineering
• Practical data visualization and evaluation
• Scientific computing
• Applied artificial intelligence and machine learning
• Possibilities for specialization in different areas of process engineering (Bioprocess Engineering, Reaction and Fluid Process Engineering, Mechanical Engineering, and Thermodynamics)

The DPE Master's program aims at Bachelor's graduates with a solid background in process engineering and a strong interest in using mathematical modeling and the tools from data science to address grand challenges like energy transition, circular economy, and climate change. 

Process engineers with in-depth knowledge of digitalization and data science have access to a wide range of companies, from innovative start-ups and modern software companies to large industrial companies, from the chemical, biotechnological, and pharmaceutical industries to medical, plant, and energy technology. The digital transformation in all these industries is currently in urgent demand for engineers with skills in digital technologies so that you can expect excellent career prospects and starting salaries at the top end of the engineering sector.

You should have a Bachelor's degree in Process Engineering, Chemical Engineering, Bioprocess Engineering, or an equivalent degree in a related field, with an overall grade point average of at least 2.0 out of 4.0 (equivalent to 3.0 in the German grading system), with 1.0 as the minimum grade. You can find the official list of required lectures/modules here. 

You should have English language skills equivalent to a TOEFL score of 213 points (internet-based 80 points, written 550 points); see further details here.

Most importantly, you should be interested in learning and applying tools from data science in the context of process engineering.