Digitalization and Automation PFH Private University of Applied Sciences

Overview

The Digitalization and Automation study programme at PFH Private University of Applied Sciences is developed to meet the current demands of the industry and, therefore, takes a multidisciplinary approach. It is an engineering course that, beyond automation and digitalisation, also focusses on economics and management. For example, you will receive tuition in circular economy, which enhances the necessity of interdisciplinary expertise.  

The programme's main themes

• Explore the world of Cyber Physical Systems: Unlock the potential of cyber physical systems and delve into the realm of interconnected devices with our comprehensive curriculum. Learn to harness the power of the Industrial Internet of Things (IIoT) and master the concept of digital twins for real-time monitoring and control.
• Master the art of Robotisation & Automation: Become proficient in the language of automation and immerse yourself in the world of robotics. Gain hands-on experience with leading products in the industry such as the Kuka programming language and KUKA.Sim. Develop the skills to design, programme and deploy automated solutions that revolutionise modern production systems. Be ready to develop and design autonomous and collaborative robots.
• Harness the power of Digitalisation: Dive deep into the realm of digitalisation and learn to transform traditional processes into efficient digital workflows. Explore the nuances of modelling and simulation and unlock the potential of virtual and augmented reality technologies. Experience the future of production firsthand as you build and utilize heterogeneous production systems. 
• Gain fundamental experience in Digital Image Processing and Image Vision: The recognition of barcodes, QR-codes, texts, geometries or objects has become an integral part of automation. This course of studies shows which processes and algorithms are used to fulfil such tasks by a computer
• Become familiar with the application of AI: Get started and gain experience in working with artificial intelligence (AI). Use digital image processing in conjunction with AI algorithms to carry out automatic quality control of tool parts. 
• Gain practical experience with Industry-Recognized Tools: Equip yourself with practical skills and experience using industry-renowned products such as TwinCAT, industrial PCs, Raspberry Pi and a plethora of sensors and actuators. Bridge the gap between theory and practice as you work on real-world projects and simulations that mirror the challenges faced in today's digital landscape.