Have you already honed a keen feeling for complex mechatronic systems during your bachelor’s degree? If so, you can channel your skills into developing future-focused technologies in this master’s degree programme in Automation and Robotics. The programme teaches the cutting-edge, application-oriented specialist knowledge that will be in high demand in the industrial landscape of production powerhouse Germany.
You will gain a profound understanding of the interrelationship between mechatronic components in automation engineering. After gaining your master’s degree, you will able to select the appropriate sensor systems and integrate them into automated production environments, then evaluate the data harvested this way to optimise operations. You will learn how to adeptly control the essential simulation tools and create dynamic designs for multi-component systems.
Apply hereMaster of Engineering (M. Eng.)
full-time, part-time, dual
3 semesters
90
winter semester
summer semester
no
German
Electrical Engineering
optional
ASIIN
This programme is designed to be completed full-time for the duration of three semesters, but is can also be studied part-time spread over six semesters.
The six modules taught during the two lecture-based semesters cover the key elements of automation engineering and robotics. The project that students complete develops a deeper understanding of the challenges and processes that prevail in the field of automation. You choose three further advanced modules to reflect the subjects you wish to specialise in and further hone your professional profile.
A master’s thesis accompanied by a seminar series in the third semester rounds the programme off. Successfully completing this element demonstrates your ability to work scientifically and methodically on a defined task and then present and defend your conclusions.
Students can switch in either direction between full-time and part-time study. The same admission criteria apply to both options. For further information, please consult the Module Handbook. (PDF)
The university awards students who successfully complete the programme the academic title Master of Engineering (M.Eng.)
Complex automated plants are mechatronic systems for the efficient manufacture of high-quality products. Departments in the field of information processing are unleashing new possibilities for optimising plants and evaluating the information gathered in the process.
Besides that, new roles are emerging in robotics beyond production engineering, such as in service robotics, which call for graduates with higher qualifications. Innovative solutions are crucial to manufacturing today’s technically demanding products in the required quality at competitive prices in Germany and Europe.
Requirements
To enrol on the master’s degree programme in Automation and Robotics, you must have:
If your degree certificate cannot be presented by the application deadline, then official evidence of your examination performance to date (transcript of records) totalling at least 180 CP must be submitted. Should 180 Credit Points not yet have been accumulated, then official evidence must be submitted – by 20 February for admission to the following winter semester (cut-off period) – of the applicant’s entire examination performance (apart from the bachelor’s thesis) required to complete the bachelor’s degree at the awarding university. Formal registration can only be completed upon submission of the degree certificate, by the end of the first semester, at the latest.
Graduates with a 6-semester bachelor’s degree (without a practical semester) will be required to submit evidence of a continuous period of no less than 20 weeks’ professional activity in a field related to a bachelor’s in mechatronics before the master’s thesis can be allocated. Graduates with a 6-semester bachelor’s degree (including a practical semester) will be required to acquire a further 30 ECTS points through study and examinations before the master’s thesis can be allocated. Decisions regarding the fulfilment of requirements, admissions and type and scope of subsequent studies and examinations are made by the Examinations Board in liaison with the degree programme coordinator.
Applications
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Admissions procedure
To be admitted to the master’s degree programme in Automation Engineering and Robotics, besides fulfilling the basic requirements, applicants must also demonstrate aptitude for this particular subject area. This is accomplished by completing a two-stage aptitude test. Applications to be admitted to the master’s programme and take the associated aptitude test must be submitted by the stated deadline to Academic Registry and Examinations at Kempten University of Applied Sciences in accordance with the usual procedure for higher education.
Stage 1 of the aptitude test
A selection panel decides which of the admitted applicants to pre-select (first stage of the aptitude test). This involves two members of the selection panel evaluating the submitted documentation according to the following criteria:
Aptitude is ascertained solely on the basis of this pre-selection. The pre-selection stage is passed if both elements are evaluated as “suitable”. Applicants who pass pre-selection are invited to interview (second stage of the aptitude test).
Stage 2 of the aptitude test
Applicants who reach stage two take part in a structured selection interview under test conditions. Selection interviews are evaluated according to the following criteria:
Selection interviews are conducted in German. A written invitation with the precise details of the appointments and the location for selection interviews will be sent out at least two weeks in advance.
Selection interviews are conducted on individually and last approximately 30 minutes per applicant. At least two members of the selection panel must take part in each selection interview, of which at least one must belong to the corpus of university lecturers. Each applicant’s performance will be evaluated by two members of the selection panel. Applicants are deemed to be suited to the degree programme in automation engineering and robotics if both evaluations agree they are “suitable”; otherwise a decision of “unsuitable” is to be reached.
We ascribe to the values of openness, tolerance and acceptance. Our aim is to teach everyone involved at Kempten University of Applied Sciences about education in an international context. As part of this, we support university-wide, inter-faculty measures to promote international projects and cross-cultural interaction.
Are you interested in learning more about options for you to study abroad? More about opportunities for studying abroad.
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Study this Master's programme combined with in-depth practical studies! Your regular studies are combined with intensive practical phases, based on the course content. The offer is aimed at both regular, non-dual and dual Bachelor graduates who have completed a combined study programme or study programme with in-depth practice.
You can find more information about the offers here.
Compulsory modules
Module 1 – Optical sensor systems: Basic physical and technical principles and practical application
Module 2 – Information and control technology: Controlling, networking and programming industrial systems
Module 3 – Advanced robotics: Serial robot kinematics, mobile robotics and service robotics
Module 4 – Modelling and simulating dynamic systems: Simulation calculations for designing and analysing mechatronic systems
Module 5 – Virtual plant planning
Module 6 – Sensor networks and machine learning
Advanced modules
Module 1 – Electrical drive systems
Module 2 – Power electronics
Module 3 – Multimodal sensor networks
Module 4 – Advanced engineering mechanics
Module 5 – Certified robot engineer
Module 6 – Model-based controller development
Module 7 – Interface electronics
Module 8 – Functional safety
Module 9 – Selecting materials to suit specific products
Module 10 – BUS systems
Complementary skills
Module 1 – Intercultural communication
Module 2 – General management Features, tasks, tools and challenges
Module 3 – Change Management: Basic psychological principles, models for accompanying and implementing change processes
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