Business Analytics & Artificial Intelligence
This module introduces business analytics and artificial intelligence. Students apply machine learning, data analysis, and knowledge representation methods to practical and business-related problems.
The Master’s in Industrial Engineering is aimed at anyone who wishes to combine technical expertise with management skills and actively shape the digital future of businesses. You will analyse technological trends, understand their economic significance and learn to identify innovation potential and translate it into market-oriented products and services. Subjects such as data science, artificial intelligence, the digital factory, the Internet of Things, software engineering, entrepreneurship and innovation management will show you how modern technologies are transforming value creation and giving rise to new business models. Your skillset is rounded off by modules such as Controlling, Cost Engineering, International Management and Supply Chain Management. Project work, case studies and international collaborations foster analytical and strategic thinking. Modules taught in English and global partner projects broaden your international outlook and provide you with the ideal preparation for career paths in industry, technology companies, consultancy or start-ups.
The degree programme prepares students for a wide range of specialist and managerial roles in companies operating nationally and internationally. Graduates take on roles, for example, in product management, production planning and product development, financial control and corporate planning, as well as in management consultancy. Other areas of employment include technical sales and corporate IT. In addition to established industrial companies, start-ups and young enterprises also offer attractive career prospects. Furthermore, the programme equips students with key skills for setting up their own business.
This module introduces business analytics and artificial intelligence. Students apply machine learning, data analysis, and knowledge representation methods to practical and business-related problems.
This module prepares students for academic research and the master’s thesis. Students work on an interdisciplinary project and develop skills in research, methodology, documentation, and presentation.
Students must select 4 of the profile-defining required-elective modules, each worth 5 ECTS. The options are: Selected Topics in Digitalization, Selected Topics in Marketing, Innovation Management & Entrepreneurship, International Project, and Software Engineering. These modules may also be taken in the second semester.
Students must select 2 of the required-elective modules, each worth 5 ECTS. These may also be taken in the second semester.
Students must select 2 of the required-elective modules, each worth 5 ECTS. These may also be taken in the second semester.
Aus den profilbildenden Wahlpflichtmodulen sind 4 mit jeweils 5 ECTS auszuwählen. Zur Auswahl stehen: Ausgewählte Kapitel der Digitalisierung, ausgewählte Kapitel des Marketings, Innovation Management & Entrepreneurship, Internationales Projekt, Software Engineering. Auch im zweiten Semester wählbar.
This module focuses on the design and management of international supply chains. Students learn strategies, planning tools, KPIs, and methods to optimize global supply chain networks.
Module in English. This module introduces advanced manufacturing technologies such as additive manufacturing, laser technologies, and battery production. Students gain insight into industrial applications, technical principles, and the impact of modern manufacturing on processes and society.
In this applied case study, students explore Internet of Things systems. They analyze architectures, communication standards, data processing, and assess the economic and societal impact of IoT solutions.
This module deepens knowledge in advanced controlling and compliance. Students apply value-based methods such as NPV, DCF, and EVA and learn tools for procurement and project controlling.
In the master’s thesis, students independently work on a complex problem in industrial engineering. They apply scientific methods and present their results in a rigorous academic thesis.
| 1. Semester | |
|---|---|
| 2. Semester | |
| 3. Semester |
Qualification requirements for admission to the master’s degree course are as follows:
See Master application-sites for details of the application process and general requirements.
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.
The Master’s in Industrial Engineering is aimed at anyone who wishes to combine technical expertise with management skills and actively shape the digital future of businesses. You will analyse technological trends, understand their economic significance and learn to identify innovation potential and translate it into market-oriented products and services. Subjects such as data science, artificial intelligence, the digital factory, the Internet of Things, software engineering, entrepreneurship and innovation management will show you how modern technologies are transforming value creation and giving rise to new business models. Your skillset is rounded off by modules such as Controlling, Cost Engineering, International Management and Supply Chain Management. Project work, case studies and international collaborations foster analytical and strategic thinking. Modules taught in English and global partner projects broaden your international outlook and provide you with the ideal preparation for career paths in industry, technology companies, consultancy or start-ups.
The degree programme prepares students for a wide range of specialist and managerial roles in companies operating nationally and internationally. Graduates take on roles, for example, in product management, production planning and product development, financial control and corporate planning, as well as in management consultancy. Other areas of employment include technical sales and corporate IT. In addition to established industrial companies, start-ups and young enterprises also offer attractive career prospects. Furthermore, the programme equips students with key skills for setting up their own business.
This module introduces business analytics and artificial intelligence. Students apply machine learning, data analysis, and knowledge representation methods to practical and business-related problems.
This module prepares students for academic research and the master’s thesis. Students work on an interdisciplinary project and develop skills in research, methodology, documentation, and presentation.
Students must select 4 of the profile-defining required-elective modules, each worth 5 ECTS. The options are: Selected Topics in Digitalization, Selected Topics in Marketing, Innovation Management & Entrepreneurship, International Project, and Software Engineering. These modules may also be taken in the second semester.
Students must select 2 of the required-elective modules, each worth 5 ECTS. These may also be taken in the second semester.
Students must select 2 of the required-elective modules, each worth 5 ECTS. These may also be taken in the second semester.
Aus den profilbildenden Wahlpflichtmodulen sind 4 mit jeweils 5 ECTS auszuwählen. Zur Auswahl stehen: Ausgewählte Kapitel der Digitalisierung, ausgewählte Kapitel des Marketings, Innovation Management & Entrepreneurship, Internationales Projekt, Software Engineering. Auch im zweiten Semester wählbar.
This module focuses on the design and management of international supply chains. Students learn strategies, planning tools, KPIs, and methods to optimize global supply chain networks.
Module in English. This module introduces advanced manufacturing technologies such as additive manufacturing, laser technologies, and battery production. Students gain insight into industrial applications, technical principles, and the impact of modern manufacturing on processes and society.
In this applied case study, students explore Internet of Things systems. They analyze architectures, communication standards, data processing, and assess the economic and societal impact of IoT solutions.
This module deepens knowledge in advanced controlling and compliance. Students apply value-based methods such as NPV, DCF, and EVA and learn tools for procurement and project controlling.
In the master’s thesis, students independently work on a complex problem in industrial engineering. They apply scientific methods and present their results in a rigorous academic thesis.
| 1. Semester | |
|---|---|
| 2. Semester | |
| 3. Semester |
Qualification requirements for admission to the master’s degree course are as follows:
See Master application-sites for details of the application process and general requirements.
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.