Germany
PFH Private University of Applied Sciences| The award | How you will study | Study duration | Course start | Domestic course fees | International course fees |
|---|---|---|---|---|---|
| MSc | Full-time | 4 semester | October, April | 0 | EUR 5400 per semester |
Do you like to break new ground and use digital and automated approaches to do so? Would you like to study the latest developments in science and technology?
The Digitalization and Automation study programme is aimed at graduates of electrical engineering, mechanical engineering, computer science and industrial engineering. In the field of robotics, programming and technology, you will be introduced to new developments and future-oriented topics. The special features of the newly created curriculum are the advanced study contents and varied teaching activities, such as interactive lectures and practical experiments.
The future of Master's graduates is the digital, computerised and robotised world. You will develop a comprehensive understanding of digitalization and automation and your studies will prepare you in the best possible way to apply your knowledge in those fields.
The University offers the professional development engineering programme, leading to a Master of Science (M.Sc.), in "Digitalization and Automation" at PFH Hansecampus Stade.
Your Benefits
Your degree in Digitalization and Automation
On the one hand, the aim of the Master's programme " Digitalization and Automation" is, among other things, to deepening the engineering and data processing knowledge, that have already been acquired in a bachelor's engineering degree programme as well as to sustainably improve engineering-technical manufacturing processes in a global context.
On the other hand, the multi-layered knowledge should be intensified to enable students to work responsibly and successfully on the rapidly changing tasks at the crossroads between engineering, data processing and product sustainability
Study Content
The Master's programme lasts four semesters, in which you acquire the skills to work in companies in the area of engineering and data processing, but to also be a production manager, factory planner and strategic planner.
You will gain practical knowledge through numerous projects and case studies in each semester. In preparation for the job market, you will not only acquire the needed theoretical knowledge but relevant knowledge for modern tools to optimise the effectiveness of the processes.
A scientific-theoretical orientation of the master's programme is shown in the examination of current research statuses in the lectures, as well as in the preparation of scientific papers.
Content of the Study Programme
Career Prospects
With the Master of Science in Digitalization and Automation, you will qualify to work in companies, organisations and start-ups as a production manager, factory planner and strategic planner. You will be able to better understand, shape and lead the increasingly digitalized industry of the future.
Below are some suggested courses at other providers that you may also be interested in:
Cultural Heritage: Sciences, Technologies and Diagnostics BSc
Dipartimento di Scienze della Terra, University of Milan
Find out more
Master of Science in Supply Chain and Purchasing Management MSc
Audencia Business School
Find out more
If you do not meet the entry requirements for this course then consider one of these postgraduate preparation courses from another institution:
Graduate Diploma of Engineering (Industrial Automation)
Engineering Institute of Technology
Find out more
Global Master of Engineering in Logistics and Supply Chain Management (GSCM)
Zaragoza Logistics Center (ZLC)
Find out more
Graduate Diploma of Professional Psychology Practice
Australian College of Applied Psychology (ACAP)
Find out moreThere are 7 other courses listed from PFH Private University of Applied Sciences. A selection of these are displayed below:
MBA - Master of Business Administration MBA
PFH Private University of Applied Sciences
Find out more Find out more about studying in Germany
