Industrial Engineering Digitalisation
Industrial Engineering Digitalisation
Digitalisation is fundamentally transforming value creation, products and ways of working – and requires leaders who can confidently combine technology and management. The Master’s programme in Industrial Engineering: Digitalisation is specifically designed to prepare you for this. You will learn to apply digital methods and tools in product development and production planning, to automate processes, to utilise data strategically and to develop new business models.
Through a combination of fundamental engineering principles, strategic management and application-oriented digitalisation, you will acquire a highly sought-after skill set for industry, SMEs and technology-driven companies. The programme focuses on topics such as Industry 4.0, digital marketing and AI-supported processes.
The part-time programme enables a close integration of study and practical experience and qualifies you for roles of responsibility in digitalisation projects, production, logistics and management. With this Master’s degree, you will take on a role in which you actively shape digitalisation.
Curriculum Industrial Engineering Digitalisation
1st Semester
Credit modules: Selected technical or economic competences, methodological competence, personal and social competence
International Management
The module provides fundamentals of international management and global business. Topics include globalization, international markets, and cultural, political, and economic factors. In addition, internationalization strategies, structures and management of multinational companies, and the impact of cultural differences are covered.
Software Engineering
The module provides fundamentals of software engineering and structured software development. Topics include requirements analysis, modeling, and algorithm design. In addition, the use of development environments and modeling tools is emphasized. The focus lies on implementation, validation, and quality assurance of software systems.
Digital Factory & Digital Engineering (Industry 4.0)
The module provides fundamentals of digital factory and digital engineering. Topics include Industry 4.0, scientific methods, and AI applications in industrial processes. The focus lies on software solutions such as predictive maintenance and their evaluation, e.g., through cost-benefit analysis or practical automation applications.
International SCM and Risk Management
The module provides fundamentals of international supply chain management and risk management. Topics include the design, planning, and control of global supply chains as well as strategies to ensure supply security. In addition, sustainability, resilience, risk assessment, and practical case studies for optimizing complex supply chains are covered.
Data Science & Artificial Intelligence
The module provides fundamentals of data science and artificial intelligence with a focus on practical applications. Topics include machine learning methods, generative AI, chatbots, and their use across the value chain. In addition, implementation strategies as well as ethical, legal, and social aspects of responsible AI use are covered.
Management Accounting
The module provides fundamentals of management accounting with a focus on financial control and decision-making. Topics include financial statements (balance sheet, income statement, cash flow), cost accounting (absorption and variable costing), as well as financial indicators, investment appraisal, and target costing.
Innovation Management & Entrepreneurship
The module provides fundamentals of innovation management and entrepreneurship. Topics include types of innovation, strategies, and business models, as well as product development, marketing, and startup financing. In addition, business planning, legal frameworks, and success factors are covered to systematically develop and implement entrepreneurial ideas.
Data Science & Artificial Intelligence II
The module provides advanced knowledge in data science and artificial intelligence with a focus on practical applications. Topics include advanced machine learning methods, data science workflows, and AutoML. In addition, complex data environments, development of customized solutions, and industry-focused projects for implementing and evaluating AI applications are covered.
Scientific Project
The module provides practical project management skills from initiation to completion. Topics include project kick-off, milestone planning, and the development and evaluation of hypotheses. In addition, interim and final project results are presented and reflected in a structured manner.
Master's Thesis
Die Masterarbeit umfasst die eigenständige Bearbeitung einer wissenschaftlichen Problemstellung aus einem Unternehmen oder einem aktuellen theoretischen Themenfeld. Ziel ist die Anwendung wissenschaftlicher Methoden zur Analyse, Entwicklung und Bewertung von Lösungsansätzen sowie deren strukturierte Darstellung.
| 1. Semester | |
|---|---|
| 2. Semester | |
| 3. Semester | |
| 4. Semester | |
| 5. Semester |
Admission requirements
- Proof of successful completion of an engineering, natural science, technical or economic academic study programme at a German university with at least 210 ECTS credit points or equivalent or an equivalent successful domestic or foreign degree and
- proof of at least one year of relevant qualified professional experience in areas with an affinity to digital topics, such as product management or product development, optimisation and digitalisation of business processes, production planning and control, marketing and technical sales, supply chain management or global sourcing, implementation of IT tools or strategic planning including planning new business areas.
- Admission option if you have a university degree with fewer than 210 ECTS credit points: If you have a university degree with fewer than 210 ECTS credits or your degree with fewer than 210 ECTS credits is recognised, there is the possibility of up to 30 ECTS credits from qualified professional experience.
Counselling and application
For individual counselling before and during the application phase, please get in touch with your contact person. You will find the relevant contact details on this page.
Applications for this study course are made online.
University entrance qualification obtained abroad
If the university entrance qualification was obtained abroad, a preliminary examination of the university entrance qualification by uni-assist is required.
Please note that it may take 4 to 6 weeks for uni-assist to process your application.
Further information on study applications from abroad can be found on the website Study application from abroad.
Any questions?
Do you have any questions about applications, admission, enrolment, student finance, accommodation or other general topics? If so, please use our contact form and select the relevant topic. This will ensure your enquiry is sent directly to the relevant contact person(s) and can be answered quickly and effectively.
Programme director
-
Prof. Dr. rer. pol. Gerd Schwandner
Programme director and Academic advisor Engineering and Management (Master)
Programme manager for interested parties
-
Qian Ye, M.Sc.
Programm-Managerin
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About the degree program
Industrial Engineering Digitalisation
Digitalisation is fundamentally transforming value creation, products and ways of working – and requires leaders who can confidently combine technology and management. The Master’s programme in Industrial Engineering: Digitalisation is specifically designed to prepare you for this. You will learn to apply digital methods and tools in product development and production planning, to automate processes, to utilise data strategically and to develop new business models.
Through a combination of fundamental engineering principles, strategic management and application-oriented digitalisation, you will acquire a highly sought-after skill set for industry, SMEs and technology-driven companies. The programme focuses on topics such as Industry 4.0, digital marketing and AI-supported processes.
The part-time programme enables a close integration of study and practical experience and qualifies you for roles of responsibility in digitalisation projects, production, logistics and management. With this Master’s degree, you will take on a role in which you actively shape digitalisation.
Curriculum Industrial Engineering Digitalisation
1st Semester
Credit modules: Selected technical or economic competences, methodological competence, personal and social competence
International Management
The module provides fundamentals of international management and global business. Topics include globalization, international markets, and cultural, political, and economic factors. In addition, internationalization strategies, structures and management of multinational companies, and the impact of cultural differences are covered.
Software Engineering
The module provides fundamentals of software engineering and structured software development. Topics include requirements analysis, modeling, and algorithm design. In addition, the use of development environments and modeling tools is emphasized. The focus lies on implementation, validation, and quality assurance of software systems.
Digital Factory & Digital Engineering (Industry 4.0)
The module provides fundamentals of digital factory and digital engineering. Topics include Industry 4.0, scientific methods, and AI applications in industrial processes. The focus lies on software solutions such as predictive maintenance and their evaluation, e.g., through cost-benefit analysis or practical automation applications.
International SCM and Risk Management
The module provides fundamentals of international supply chain management and risk management. Topics include the design, planning, and control of global supply chains as well as strategies to ensure supply security. In addition, sustainability, resilience, risk assessment, and practical case studies for optimizing complex supply chains are covered.
Data Science & Artificial Intelligence
The module provides fundamentals of data science and artificial intelligence with a focus on practical applications. Topics include machine learning methods, generative AI, chatbots, and their use across the value chain. In addition, implementation strategies as well as ethical, legal, and social aspects of responsible AI use are covered.
Management Accounting
The module provides fundamentals of management accounting with a focus on financial control and decision-making. Topics include financial statements (balance sheet, income statement, cash flow), cost accounting (absorption and variable costing), as well as financial indicators, investment appraisal, and target costing.
Innovation Management & Entrepreneurship
The module provides fundamentals of innovation management and entrepreneurship. Topics include types of innovation, strategies, and business models, as well as product development, marketing, and startup financing. In addition, business planning, legal frameworks, and success factors are covered to systematically develop and implement entrepreneurial ideas.
Data Science & Artificial Intelligence II
The module provides advanced knowledge in data science and artificial intelligence with a focus on practical applications. Topics include advanced machine learning methods, data science workflows, and AutoML. In addition, complex data environments, development of customized solutions, and industry-focused projects for implementing and evaluating AI applications are covered.
Scientific Project
The module provides practical project management skills from initiation to completion. Topics include project kick-off, milestone planning, and the development and evaluation of hypotheses. In addition, interim and final project results are presented and reflected in a structured manner.
Master's Thesis
Die Masterarbeit umfasst die eigenständige Bearbeitung einer wissenschaftlichen Problemstellung aus einem Unternehmen oder einem aktuellen theoretischen Themenfeld. Ziel ist die Anwendung wissenschaftlicher Methoden zur Analyse, Entwicklung und Bewertung von Lösungsansätzen sowie deren strukturierte Darstellung.
| 1. Semester | |
|---|---|
| 2. Semester | |
| 3. Semester | |
| 4. Semester | |
| 5. Semester |
Admission requirements
- Proof of successful completion of an engineering, natural science, technical or economic academic study programme at a German university with at least 210 ECTS credit points or equivalent or an equivalent successful domestic or foreign degree and
- proof of at least one year of relevant qualified professional experience in areas with an affinity to digital topics, such as product management or product development, optimisation and digitalisation of business processes, production planning and control, marketing and technical sales, supply chain management or global sourcing, implementation of IT tools or strategic planning including planning new business areas.
- Admission option if you have a university degree with fewer than 210 ECTS credit points: If you have a university degree with fewer than 210 ECTS credits or your degree with fewer than 210 ECTS credits is recognised, there is the possibility of up to 30 ECTS credits from qualified professional experience.
Counselling and application
For individual counselling before and during the application phase, please get in touch with your contact person. You will find the relevant contact details on this page.
Applications for this study course are made online.
University entrance qualification obtained abroad
If the university entrance qualification was obtained abroad, a preliminary examination of the university entrance qualification by uni-assist is required.
Please note that it may take 4 to 6 weeks for uni-assist to process your application.
Further information on study applications from abroad can be found on the website Study application from abroad.
Any questions?
Do you have any questions about applications, admission, enrolment, student finance, accommodation or other general topics? If so, please use our contact form and select the relevant topic. This will ensure your enquiry is sent directly to the relevant contact person(s) and can be answered quickly and effectively.
Programme director
-
Prof. Dr. rer. pol. Gerd Schwandner
Programme director and Academic advisor Engineering and Management (Master)
Programme manager for interested parties
-
Qian Ye, M.Sc.
Programm-Managerin
Other programmes you may be interested in
-
Applied artificial intelligence
Master of Science (M. Sc.)
Shape the intelligent technologies of tomorrow: The Applied Artificial Intelligence master's program provides advanced expertise in machine learning, data science, and AI applications. Work on real-world challenges and prepare for demanding roles in industry, research, and development.
About the degree program -
Digital Business Management
Master of Business Administration (MBA)
Digital transformation presents companies with new strategic and organisational challenges. The MBA in Digital Business Management combines management expertise with digital know-how, equipping students to successfully shape change processes, innovations and digital business models.
About the degree program -
IT management
Master of Business Administration (MBA)
Digitalisation requires leaders who understand both technology and management. The MBA in IT Management combines strategic business management with IT expertise and prepares you for roles of responsibility at the intersection of digitalisation, innovation and business development.
About the degree program -
Cyber Security Engineer
Master of Science (M. Sc.)
The Cyber Security Engineer degree programme provides in-depth knowledge of how to protect modern IT systems and digital infrastructures. The programme focuses on security architectures, secure software development, cloud security, AI in IT security, and the management of complex cyber risks.
About the degree program