This four-semester Master's programme is designed for graduates who hold a Bachelor's degree in chemical or biochemical process engineering and who want to apply modern digital methods to engineering problems. The curriculum builds on core chemical process engineering concepts — the transformation of raw materials and energy into products via chemical, mechanical and biological processes — while emphasizing computational and data-driven approaches rather than plant-level control or automation.
The course content centers on digital tools and methods used to model, analyse and improve chemical and biochemical processes. Core coursework covers scientific computing, data visualisation, scientific machine learning, data analysis and experimental design, and modelling, simulation and optimisation. A project module explicitly links computer science methods with process engineering practice. Elective options allow you to specialise in areas such as reaction and fluid process engineering, particle processes, bioprocess engineering, or thermodynamics.
Key requirements and facts
Curriculum overview
The master’s programme starts with a bridge semester designed either to refresh and complete any missing process-engineering fundamentals or—if you already possess the required basics—to be substituted by an industrial internship worth 15 or 30 CP. This flexible entry phase helps ensure all students are prepared for the advanced, digitally focused content that follows.
In the second and third semesters you progress through the heart of the degree: core compulsory modules, compulsory-elective modules that belong to the programme’s defined focus areas, and additional elective modules to tailor your profile. The final (fourth) semester is dedicated to the independent Master’s thesis, where you apply learned methods to a research question or an industry-related project.
Key modules and learning outcomes
Program requirements (summary)
This program requires a completed undergraduate degree in chemical process engineering or a closely related field. Applicants must demonstrate English language proficiency and are encouraged (but not required) to submit GRE scores. Academic performance must meet the program’s minimum grade threshold, and applicants should already have solid subject-specific knowledge from their bachelor studies. The department publishes the detailed credit/credit-hour expectations for each prerequisite subject on its website before every application period.
You should expect to show familiarity with advanced mathematics and core chemical engineering topics — including laboratory experience and practical skills related to pressure vessel design and the operation of chemical apparatus. Equivalency of foreign degrees and grades will be assessed against the German grading system.
Admission requirements (bullet points)
Winter Semester (International)
30 April 2026
Winter Semester (EU/EEA)
15 July 2026
Graduates are prepared for roles that combine process engineering expertise with advanced digital skills—e.g. process modelling and simulation specialists, data-driven process engineers, process development engineers, and R&D engineers in chemical, biochemical and related industries. The programme’s emphasis on scientific computing, machine learning, optimisation and project work equips students for technical roles in industry, consulting and software providers focused on process digitalisation.
Further career paths include continuing in research (PhD), working for engineering service firms or technology providers developing digital solutions for process design and operation, and positions in companies pursuing digital transformation initiatives in production and process optimisation. Industrial internships and scholarship links enhance employability and industry networks.
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