Deggendorf Institute of Technology Master of Science in High Performance Computing/Quantum Computing

The Deggendorf Institute of Technology (DIT) offers a Master's Degree in High Performance Computing (HPC) and Quantum Computing (QC). This programme is taught entirely in English to ensure graduates are ready to enter the professional world. Students can expect to find support throughout this programme from industry and peer institutions to help them understand the rapidly evolving advances of quantum systems. 

Building on your knowledge in computer science, physics or engineering, you will learn about the modern technology of quantum computing in this degree programme. No matter in which economic or scientific field, quantum computing is all about solving complex problems, but much faster than conventional computers have been able to do previously. Unimaginable amounts of data could be analysed in minutes instead of years. 

This is useful in many different areas - for example, to improve forecasts and predictions, in cryptography (encrypted communication), or in pharmacology (drug research). 

You study quantum computing in English, which prepares you for the professional world. The master's programme is supported by partnerships with industry and peer institutions that guide you through the rapidly evolving technological advances of quantum systems.

The basis for this type of computing and a challenge on its own is high-performance computing (HPC). Here you design programmes for high-performance and ultra-high performance computers - also called supercomputers - or learn to design such a supercomputer right away.

Academic programme

This 90 ECTS programme spans over three semesters (1.5 years) and confers successful students with a Master of Science degree. 

The following courses will be taken by students over the three semesters.

Semester 1

• Physics for HPC/QC
• Software Engineering
• HPC/QC Programming Lab
• HPC/QC Technology
• Advanced Mathematics for HPC/QC
• Elective subject in accordance with study coordinator

Semester 2

• Computer Architectures for HPC/QC
• Networks for HPC/QC
• Optimisation Methods
• HPC/QC Infrastructure
• System Design and Applicaiton of HPC/QC Systems
• Advanced Mathematics and Physics for HPC/QC

Semester 3

• Elective subject in accordance with study coordinator
• Master colloquium
• Master thesis

Requirements

Prospective students must have a Bachelor Degree in Computer Science, Physics, Technology or a related subject. An assessment test will also be administered and students must succeed at this test to be admitted. Finally students must possess an English level B2, should English not be a student's native language proof of English skills is necessary. 

Career prospects 

Participants will be able to build a career in one of the following professional fields:

• IT and IT infrastructure
• (IT) security and safety
• Hardware and software design
• Operating systems and system design
• Programming
• Planning and construction of data centres
• Power supply/USV
• Fire protection
• Building services and HVAC
• IT management
• Innovation management