Intelligent Manufacturing (Master)

Processes and systems of modern product creation are highly integrated and supported by digital tools described by terms like Industry 4.0 and Intelligent Manufacturing. To provide customized solutions, flexible production, and realize a resource-saving circular economy, sound knowledge about product design, production technologies and data acquisition is required. The master program Intelligent Manufacturing educates future engineers with distinctive problem solving capabilities and core professional competencies in the fields of product, production, and automation engineering as well as data management and informatics.  

Jobs and careers

Engineers in the field of Intelligent Manufacturing shape future products and processes to produce products with high value and low impact on environment. Facing the current transformation of industry and the existing strength of manufacturing companies in Germany and internationally, opens up challenging and future-proof fields of work. Graduates of the master's program are prepared to take on specialist and managerial tasks in different industry branches. Therefore, the master program aims at an interdisciplinary and research-oriented education to provide insights into current research. The project-based teaching concept will prepare students for hands-on problem solving and fosters self and methodical skills required to cope with challenges in the field of Intelligent Manufacturing in industrial practice and research. Two fields of study allow for specialization on flexible and intelligent product and processes as well as manufacturing analytics and optimization.

Fields to work in as a graduate are for example:

  •  automotive industry and engineering industry with focus on product engineering and manufacturing
  •  consulting with focus on implementation of new production technologies and engineering tools
  •  research and development within companies and at university

What is special about the study programme in Clausthal

The master program Intelligent Manufacturing is research-based and interationally oriented. Students learn how to apply and advance technologies, methods and tools in the field of Industry 4.0. The curriculum integrates special lectures to develop expertise and interdisciplinary engineering and research projects for problem-based learning. Since this master program picks up current research, there is a great infrastructure like labs that will be used for your engineering and research projects. At TU Clausthal you will benefit from short distances and low living costs, an excellent staff-student ratio and our active research collaborations with partners in industry and other universities.   

Structure of the study programme

The master program is organized in four semesters and includes two fields of study. Within the first three semesters the students complete advanced courses in production engineering and basics of information technologies. In addition interdisciplinary and methodical skills to deal with problem solving and research questions in the field of Intelligent Manufacturing will be conveyed within project-based courses. From the second semester one of two fields of study has to be selected providing a number of elective courses for advanced studies in product and process design as well as manufacturing analytics and optimization. The master thesis is part of the fourth semester and can be written in cooperation with a company.

Field of study

Flexible and Intelligent Products and Processes

Intelligent manufacuring requires close coordination of product and process design. The field of study flexible and intelligent products and processes focusses on product design, information acquisition and analysis in versatile production processes, and innovative production technologies. The focal points are:

  • product planning and design for flexible production processes
  • design and management of versatile production processes
  • innovative production technologies like additive manufacturing
  • sensor technologies and control concepts for versatile production processes

Methods and tools are applied and amplified within interdisciplnary engineering and research projects.  

Manufacturing Analytics and Optimization

Intelligent manufacuring requires continual analysis of product and process data to derive measures for optimization regarding for instance product quality or engery consumption. The field of study manufacturing analysis and optimization focusses on aspects of big data handling and analysis, simulation, and optimization of production processes. The focal points are:

  • data acquisition, processing and visualization in production processes
  • multi-scale simulation methods
  • optimization of networked production processes
  • machine learning and cyber security

Methods and tools are applied and amplified within interdisciplnary engineering and research projects. 


Program advisors and Program supervisor

Prof. Dr.-Ing. David Inkermann
Phone: +49 5323 72-2271
Fax: +49 5323 / 72-99 - 3501
Institute of Mechanical Engineering
Robert-Koch-Straße 32
38678 Clausthal-Zellerfeld

Program outline

Type of program: Master
Duration: 4 Semester
Language of teaching: English
Degree: Master of Science (M.Sc.)
Start date: Admission to the winter semester, but also to the summer semester possible.
Accreditation: Urkunde ASIIN

Admission Requirement

Matriculation and student administration at the TU Clausthal are carried out according to the current regulations of the TU Clausthal. For enrollment, English language skills at level B2 must be proven by presenting a corresponding certificate:

  • TOEFL iBT: at least 85 points or
  • TOEIC: at least Listening and Reading 865, Speaking 170, Writing 165 or
  • IELTS: at least 6.5 or
  • Cambridge University: First Certificate in English (FCE), Grade C