Applied AI for Digital Production Management, MEng, at Deggendorf Institute of Technology (DIT)

Applied AI for Digital Production Management, MEng, Deggendorf Institute of Technology (DIT)

Germany

Deggendorf Institute of Technology (DIT)

Study options for this course

The award	How you will study	Study duration	Course start	Domestic course fees	International course fees
MEng	Full-time	3 semester	March, October	EUR 82 per semester	EUR 82 per semester

About Applied AI for Digital Production Management, MEng - at Deggendorf Institute of Technology (DIT)

In the age of digitalisation, the ability to analyse and process big data in industry has become indispensable. In all manufacturing industries, there is an increasing demand for qualified specialists to read and use Big Data in production processes to make efficient strategic decisions, develop innovations to improve everyday workflow and increase companies’ competitiveness while ensuring quality and sustainability in the digital production chain.

Lectures combining machine learning, data analysis, data management and intelligent systems will help you to deepen your understanding of innovative methods of data processing. In addition to this, modules like "Advanced Statistical Methods & Optimization" will prepare you for the increasing demands of AI in production, logistics and technology management. The theory you study will be put into practise through three case studies in AI, intelligent systems in production, and production systems, which are created and supervised by engineers from manufacturing companies.

MAIN FEATURES OF THE PROGRAMME

The programme is a well-balanced combination of lectures, seminars, and case studies.
Small study groups provide you with personal support and intensive tuition.
Three AI case studies will help you to analyse problems independently and apply proposed solutions.
State-of-the-art science labs are equipped with excellent equipment to supply you with the perfect infrastructure to study high-tech areas of AI.
Compulsory German lessons equip you with language skills for you to kick-start your prospective future career in Germany.
Cham’s international and multicultural campus community will make you feel at home.

Notes about fees for this course

International students from non-EU/EEA countries are required to pay service fees for each semester. Click here to read about our service fees.

Entry requirements

Admission Requirements:

Successful completion of an undergraduate study programme with at least 210 ECTS credits from the fields of Industrial Engineering, Production Technology, Mechatronics, or a related degree programme, or by a qualification that is equivalent to such a university degree. Based on the documents submitted, the examination board decides on the relevance of prior degrees.
For this reason, applicants having obtained their academic training (e.g., undergraduate degree) in non-member states of the Lisbon convention are recommended to submit a GATE or GRE (general) certificate deemed to further substantiate their eligibility for this study programme.
Additionally, the professional qualification for this study programme is to be demonstrated in the context of an aptitude assessment. This written exam is based on a range of subject areas relevant for Applied AI in Digital Production Management, such as mathematics, physics, production & logistics, statistics, simulation and computer science. The exam is being conducted both online and on-site at the Campus Cham affiliated to the Deggendorf Institute of Technology. This exam is consulted to determine the major-specific eligibility and ultimately decides on the admission to this master’s programme.

Language Requirements:

If German is not your native language, proof of sufficient German skills is necessary.

If English is not your native language, proof of sufficient English skills is necessary

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Applied AI for Digital Production Management, MEng, Deggendorf Institute of Technology (DIT)

Study options for this course

About Applied AI for Digital Production Management, MEng - at Deggendorf Institute of Technology (DIT)

Notes about fees for this course

Entry requirements

Courses you may be interested in at other institutions

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Other courses at Deggendorf Institute of Technology (DIT)

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