Overview
This English-taught Master's in Digital Transformation is designed to equip you with the skills to lead and shape digital change. Taught in a friendly, international setting, the programme combines project-based learning with close links to the high-tech industries of Germany’s Ruhr Valley, turning contemporary theory into hands-on experience that is immediately relevant to industry.
What you will study
The curriculum covers the full design flow and technology stack for digital solutions, with a particular emphasis on software and cloud technologies. The course also examines digital business models and the socio-economic effects of digitalisation. The programme is built around three core competence areas: advanced software engineering (processes, methods and tools for complex systems), design and deployment of cross-domain digital systems, and user-centred development that involves users as co-producers. Graduates are prepared to work in dynamic, diverse and agile international teams on solutions that benefit both industry and society.
Opportunities and student experience
Studying this programme gives you access to extensive research and employment pathways in German and international companies—many alumni go on to work for employers such as Bosch, Siemens, Volkswagen AG and Daimler. The course emphasises interactive learning, offers international events and conferences, and provides hands-on, practical project work. You can take block courses or spend a full semester abroad, and there are options for a double degree with partner universities (KU Leuven, Belgium and Astana IT University, Kazakhstan). Research opportunities exist through the Research Institute for the Digital Transformation (IDiAL). Scholarships, dormitory access and international networking are available, and the department highlights a supportive community that helps students balance study, work and family life.
Key facts & practical information
Program structure and study load The programme runs over four semesters and totals 120 ECTS (approx. 3,600 hours of student work), finishing with a 30‑ECTS Master's thesis in the fourth semester. Instruction—including lectures, labs, course materials and exams—is delivered in English; students may choose to submit written assignments and the thesis in German. The first two semesters are built around five core modules each (all modules are 6 ECTS), while the second and third semesters offer room to pursue a specialisation through elective modules. Thesis topics can arise from university research or from industrial development/research projects.
Teaching methods and opportunities Teaching combines (partly online) lectures, practical elements and scientific training. Practical work involves collaboration with industry and societal partners, and many courses are delivered as block lectures, making the programme compatible with part‑time study alongside employment. Students can receive academic credit for relevant professional achievements. The third semester may alternatively be used as an exchange term at a partner university. Both the third‑semester research project and the final thesis can be completed in cooperation with a company or as part of a university research project.
Key modules and intended outcomes Core modules cover innovation‑driven software engineering, software architecture, layered digital systems, R&D project management and scientific/transversal skills; follow‑up modules address usability engineering and software‑intensive solutions. A broad elective palette (each 6 ECTS) lets you specialise in areas such as IoT & edge computing, smart homes/buildings/cities, human‑centred digitalisation, requirements engineering, data analytics and machine learning, formal methods, digital business ecosystems, trends in AI for business informatics, and managing digital change. Graduates should be able to design and evaluate software‑intensive systems, apply architectures and formal methods, manage R&D and transformation projects, integrate data‑driven methods (analytics/ML), and carry out independent scientific work culminating in a research project and thesis.
Programme facts and module requirements (concise)
For full module descriptions and schedules consult the programme's module handbook.
Admission requirements
This master's programme is aimed at applicants who already hold a relevant undergraduate degree in computing or closely related fields. Applicants should have completed a Diplom or Bachelor's degree from a university ("Universität") or a university of applied sciences ("Fachhochschule"), or an accredited Bachelor's from a cooperative education institute ("Berufsakademie"). The university expects evidence that your prior studies covered topics related to digital systems and software engineering and that you completed a formal thesis as part of your bachelor’s programme.
International applicants with different grading systems or degree titles should note that equivalence to the stated requirements will be assessed during application review. Make sure your transcripts and documentation clearly show your overall grade and any coursework or projects that demonstrate competence in digital systems and software engineering.
Key admission points
Winter Semester (International)
15 June 2026
Winter Semester (EU/EEA)
15 July 2026
Graduates are prepared for roles that design, implement and manage digital systems across industry and research — e.g., software engineer, cloud/solutions architect, product manager, UX/Usability specialist, IoT/edge developer or digital transformation consultant. The programme’s focus on software engineering, cloud technologies, user-centred development and cross-domain systems suits opportunities in high-tech firms, industrial enterprises and consultancies, notably in the Ruhr Valley and other international companies (examples given: Bosch, Siemens, Volkswagen, Daimler).
There are also pathways into applied research and R&D projects through the university’s research institute (IDiAL) and through thesis or research projects conducted with industry partners. Overall demand for professionals who can lead digital transformation initiatives across sectors (smart buildings/cities, manufacturing, data analytics, AI-enabled business processes) is strong, offering both industry and research career options.
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