This specialisation trains you to design and operate complex chemical and biochemical production systems by applying mathematical models and contemporary computer-based tools for simulation and optimisation. The programme is strongly quantitative and computational in focus, emphasising model-based approaches rather than traditional process engineering practice. Attention: this is not a process engineering course of study.
Coursework covers advanced control techniques, production scheduling methods, and the systematic acquisition and analysis of experimental data, so you learn both the theoretical foundations and practical implementation of optimisation and control strategies. All classes are taught in English, and the curriculum also contains language courses to help international students attain a working knowledge of German, alongside modules that develop transferable soft skills.
You will complete your Master's thesis in the final semester, working full time on a research project for six months. Teaching and assessment take place in a truly international setting—tutorials, laboratory work, and project groups bring together students from many countries and backgrounds, giving you hands-on experience collaborating in multicultural teams and preparing you for international careers in industry or research.
Key facts & requirements
This Master’s specialisation in Process Systems Engineering is described in full on the programme web pages and in the downloadable PDF. The online curriculum layout presents the course structure, module descriptions, credit (ECTS) allocation, and information on thesis/project work. For the most accurate and up‑to‑date details about individual courses, learning outcomes, timetables and assessment methods, please consult the programme links and the PDF.
Key modules and learning outcomes are published on the curriculum pages. The site and PDF show which courses are compulsory versus elective, how the programme balances classroom teaching and project work, and the intended competencies graduates will acquire (for example, systems-level problem solving, modelling and analysis, and the ability to plan and execute an independent scientific/engineering project). Use the module descriptions to check prerequisites, workload, and the assessment format for each class.
Practical information for international applicants and students is also available on the same pages:
Typical application documents to prepare (confirm exact requirements on the programme webpage):
If you need help locating a specific module or the stated learning outcomes, I can guide you through what to look for on the programme site or help interpret the PDF contents.
Admission requires a completed BSc (or an equivalent degree) in Chemical Engineering. Selection takes a holistic view of your academic record alongside supporting materials that demonstrate your preparedness and motivation for advanced study in process systems engineering.
You will need to provide documented evidence of language ability, academic recommendations, and a personal statement outlining your goals. All academic certificates must be properly certified and you will be required to present original documents when enrolling. Applicants from certain countries have an additional pre-application verification step by the German authorities.
Please prepare the following for your application:
Winter Semester (International)
15 May 2026
Winter Semester (EU/EEA)
15 May 2026
Graduates are prepared for roles that require expertise in mathematical modelling, simulation and optimisation of production systems — for example in process development, process control and automation, production scheduling, and technical consulting within chemical and biochemical industries. The programme’s strong computational and experimental components also suit positions in R&D, plant operation optimisation and roles that bridge engineering and data analysis.
The international classroom and soft-skills training further equip students for work in global teams and cross-border organisations, making them attractive to multinational companies, engineering consultancies, and research institutions.
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