Digital Technologies
You do have ideas for digital, sustainable innovations and entrepreneurial spirit?
The Master's degree programme in Digital Technologies deepens and expands the knowledge acquired in the Bachelor's degree. It enables students to specialise in future-oriented topics such as artificial intelligence, big data and cybersecurity. In addition to the regular Master's programme, the Digital Technologies model with practical cooperation offers students the opportunity to supplement their academic education with direct professional experience in one of our partner companies.
Our Computer Science Master's programmes:
Digital Technologies - Computer Science
Facts at a glance
How does the application process work?
Application periods (exceptions with uni-assist):
For winter (fall): 15th May - 15th July
For summer (spring): 15th November - 15th January
Useful links and files
Details of the degree programme
Fields of activity
Job profile Digital Technologies with Master's degree
- Expert for digital transformation: Management consulting for introducing new technologies
- Development and introduction of innovative technologies from conception to saleability
- IT project planning and management, IT strategy development
Programme content
Many options in disciplines and applications
Choose one Main Discipline Computer Science and one Second Discipline Computer Science:
- Cooperative Human-Machine Interaction
- Engineering Methods and Dependability
- Machine Learning and Big Data
- Smart Cyber-Physical Systems
Choose one Main Field of Application and one Second Field of Application:
- Autonomous Systems
- Circular economy and environmental technology
- Digital Transformation
- Energy
- Industry 4.0
- Mobility
Inter-university degree programme with TU Clausthal, also in Goslar
Interdisciplinary digitalisation projects
Dealing with current research topics:
- Working on research topics in a team
- Initiation of own research projects
Practical learning
Practical learning during your studies: theory meets reality
Learning in practice combines academic knowledge with real-life applications and is a key component of modern degree programmes. Practice-orientated teaching methods such as case studies, project work and simulations give students the opportunity to put theoretical concepts directly into practice. This does not only promote a deeper understanding of the course content, but also increases the development of problem-solving and decision-making skills.
Another advantage of practical learning is the close cooperation with companies and organisations. Internships, student traineeships and projects in co-operation with industry offer valuable insights into the world of work and help students to make valuable contacts. This practical experience does not only strengthen career opportunities, but also personal development by promoting initiative and the ability to work in a team.
After the Bachelor - Master programmes
Admission requirement
- Digital Technologies (B.Sc.)
- Computer Science (B.Sc.)
- Business Computer Science (B.Sc.)
- or equivalent degree
- The enrolment office / selection committee will decide whether the previous studies are suitable. If necessary, missing modules amounting to a maximum of 30 CP must be completed in accordance with the examination regulations before admission to the Master's thesis; usually from the module catalogue of the Bachelor's degree programme in Digital Technologies.
- International students: proven German language skills at level B1 of the Common European Framework of Reference for Languages (CEFR) - to be revised
Study plan
1. Semester Main Discipline Computer Science module (1. Semester) Learning content: A module from one of the following four Disciplines Computer Science (defined as personal Main Discipline):
- Cooperative Human-Machine Interaction: Cooperation Systems; Multiagent Systems; Robotics/Cobotics; Human-Machine Interaction for Autonomous Systems; Automatic Language Processing
- Engineering Methods and Dependability: Software Systems Engineering; Secure Coding; Applied Cryptography; Validation through Simulation and Testing; Robust Systems; Requirements Engineering
- Machine Learning and Big Data: Deep Learning in Computer Vision; Big Data Management and Analytics; Stream Processing for Realtime Analytics; Heuristic Search; Applied Deep Learning
- Smart Cyber-Physical Systems: Automotive Systems; System Identification; Smart IoT; Autonomous Systems; Distributed Systems; Cyber-Physical Systems
Second Discipline Computer Science module (1. Semester) Learning content: A module from one of the following four Disciplines Computer Science (defined as personal Second Discipline):
- Cooperative Human-Machine Interaction: Cooperation Systems; Multiagent Systems; Robotics/Cobotics; Human-Machine Interaction for Autonomous Systems; Automatic Language Processing
- Engineering Methods and Dependability: Software Systems Engineering; Secure Coding; Applied Cryptography; Validation through Simulation and Testing; Robust Systems; Requirements Engineering
- Machine Learning and Big Data: Deep Learning in Computer Vision; Big Data Management and Analytics; Stream Processing for Realtime Analytics; Heuristic Search; Applied Deep Learning
- Smart Cyber-Physical Systems: Automotive Systems; System Identification; Smart IoT; Autonomous Systems; Distributed Systems; Cyber-Physical Systems
Main Field of Application module (1. Semester) Learning content: One module from one of six Fields of Application already known from the Bachelor's programme (defined as personal Main Field of Application):
- Autonomous systems: Radio and Micro Sensors; IoT wireless networks; Software for autonomous safety-critical Systems; Autonomous Driving; Wireless Sensor Networks; Localization and Positioning Systems; Autonomy of Robotic Systems (Autonomous Systems); HMI for autonomous Systems
- Circular Economy and Environmental Technology: Circular Economy Systems and Recycling; Plant Planning & Logistics; Modeling and Simulation of Ecosystems; Planning and Planning Legislation; Emerging Technologies for the Circular Economy
- Digital Transformation: Investment and Finance; Digital Entrepreneurship; Development of Digital Business Models; Managing the Digital Transformation; Agile requirements engineering for complex and scaled systems
- Energy: Fossil and renewable energy resources; Basic industry and energy transition; Integral Energy Concepts; Simulation of Buildings and Energy Systems
- Industry 4.0: System Automation; Product Data Management in Industry 4.0; Construction for Additive Manufacturing; IoT wireless networks; Virtual Development Methods; Application of Artificial Intelligence Methods
- Mobility: Management and Technology of Complex Projects in the Context of the Automotive Domain; Digital Mobility and Traffic Services; Digitalization in Logistics; Software for autonomous safety-critical Systems; Mobility Management; Traffic Safety; Project Management in Public Transport; Optimization in Traffic Management; Energy supply and energy demand in Mobility; Automated Traffic Systems
Second Field of Application module (1. Semester) Learning content: One module from one of six Fields of Application already known from the Bachelor's programme (defined as personal Second Field of Application):
- Autonomous systems: Radio and Micro Sensors; IoT wireless networks; Software for autonomous safety-critical Systems; Autonomous Driving; Wireless Sensor Networks; Localization and Positioning Systems; Autonomy of Robotic Systems (Autonomous Systems); HMI for autonomous Systems
- Circular Economy and Environmental Technology: Circular Economy Systems and Recycling; Plant Planning & Logistics; Modeling and Simulation of Ecosystems; Planning and Planning Legislation; Emerging Technologies for the Circular Economy
- Digital Transformation: Investment and Finance; Digital Entrepreneurship; Development of Digital Business Models; Managing the Digital Transformation; Agile requirements engineering for complex and scaled systems
- Energy: Fossil and renewable energy resources; Basic industry and energy transition; Integral Energy Concepts; Simulation of Buildings and Energy Systems
- Industry 4.0: System Automation; Product Data Management in Industry 4.0; Construction for Additive Manufacturing; IoT wireless networks; Virtual Development Methods; Application of Artificial Intelligence Methods
- Mobility: Management and Technology of Complex Projects in the Context of the Automotive Domain; Digital Mobility and Traffic Services; Digitalization in Logistics; Software for autonomous safety-critical Systems; Mobility Management; Traffic Safety; Project Management in Public Transport; Optimization in Traffic Management; Energy supply and energy demand in Mobility; Automated Traffic Systems
Interdisciplinary digitalisation project 1 (1. Semester) Learning content: In terms of content, students work independently on current real life issues related to digitalisation. At the end of the semester, all results of the project should be presented in an appropriate form for the specific semester and role.
Main Discipline Computer Science module (1. Semester) Learning content: A module from one of the following four Disciplines Computer Science (defined as personal Main Discipline):
- Cooperative Human-Machine Interaction: Cooperation Systems; Multiagent Systems; Robotics/Cobotics; Human-Machine Interaction for Autonomous Systems; Automatic Language Processing
- Engineering Methods and Dependability: Software Systems Engineering; Secure Coding; Applied Cryptography; Validation through Simulation and Testing; Robust Systems; Requirements Engineering
- Machine Learning and Big Data: Deep Learning in Computer Vision; Big Data Management and Analytics; Stream Processing for Realtime Analytics; Heuristic Search; Applied Deep Learning
- Smart Cyber-Physical Systems: Automotive Systems; System Identification; Smart IoT; Autonomous Systems; Distributed Systems; Cyber-Physical Systems
Learning content: A module from one of the following four Disciplines Computer Science (defined as personal Main Discipline):
- Cooperative Human-Machine Interaction: Cooperation Systems; Multiagent Systems; Robotics/Cobotics; Human-Machine Interaction for Autonomous Systems; Automatic Language Processing
- Engineering Methods and Dependability: Software Systems Engineering; Secure Coding; Applied Cryptography; Validation through Simulation and Testing; Robust Systems; Requirements Engineering
- Machine Learning and Big Data: Deep Learning in Computer Vision; Big Data Management and Analytics; Stream Processing for Realtime Analytics; Heuristic Search; Applied Deep Learning
- Smart Cyber-Physical Systems: Automotive Systems; System Identification; Smart IoT; Autonomous Systems; Distributed Systems; Cyber-Physical Systems
Second Discipline Computer Science module (1. Semester) Learning content: A module from one of the following four Disciplines Computer Science (defined as personal Second Discipline):
- Cooperative Human-Machine Interaction: Cooperation Systems; Multiagent Systems; Robotics/Cobotics; Human-Machine Interaction for Autonomous Systems; Automatic Language Processing
- Engineering Methods and Dependability: Software Systems Engineering; Secure Coding; Applied Cryptography; Validation through Simulation and Testing; Robust Systems; Requirements Engineering
- Machine Learning and Big Data: Deep Learning in Computer Vision; Big Data Management and Analytics; Stream Processing for Realtime Analytics; Heuristic Search; Applied Deep Learning
- Smart Cyber-Physical Systems: Automotive Systems; System Identification; Smart IoT; Autonomous Systems; Distributed Systems; Cyber-Physical Systems
Learning content: A module from one of the following four Disciplines Computer Science (defined as personal Second Discipline):
- Cooperative Human-Machine Interaction: Cooperation Systems; Multiagent Systems; Robotics/Cobotics; Human-Machine Interaction for Autonomous Systems; Automatic Language Processing
- Engineering Methods and Dependability: Software Systems Engineering; Secure Coding; Applied Cryptography; Validation through Simulation and Testing; Robust Systems; Requirements Engineering
- Machine Learning and Big Data: Deep Learning in Computer Vision; Big Data Management and Analytics; Stream Processing for Realtime Analytics; Heuristic Search; Applied Deep Learning
- Smart Cyber-Physical Systems: Automotive Systems; System Identification; Smart IoT; Autonomous Systems; Distributed Systems; Cyber-Physical Systems
Main Field of Application module (1. Semester) Learning content: One module from one of six Fields of Application already known from the Bachelor's programme (defined as personal Main Field of Application):
- Autonomous systems: Radio and Micro Sensors; IoT wireless networks; Software for autonomous safety-critical Systems; Autonomous Driving; Wireless Sensor Networks; Localization and Positioning Systems; Autonomy of Robotic Systems (Autonomous Systems); HMI for autonomous Systems
- Circular Economy and Environmental Technology: Circular Economy Systems and Recycling; Plant Planning & Logistics; Modeling and Simulation of Ecosystems; Planning and Planning Legislation; Emerging Technologies for the Circular Economy
- Digital Transformation: Investment and Finance; Digital Entrepreneurship; Development of Digital Business Models; Managing the Digital Transformation; Agile requirements engineering for complex and scaled systems
- Energy: Fossil and renewable energy resources; Basic industry and energy transition; Integral Energy Concepts; Simulation of Buildings and Energy Systems
- Industry 4.0: System Automation; Product Data Management in Industry 4.0; Construction for Additive Manufacturing; IoT wireless networks; Virtual Development Methods; Application of Artificial Intelligence Methods
- Mobility: Management and Technology of Complex Projects in the Context of the Automotive Domain; Digital Mobility and Traffic Services; Digitalization in Logistics; Software for autonomous safety-critical Systems; Mobility Management; Traffic Safety; Project Management in Public Transport; Optimization in Traffic Management; Energy supply and energy demand in Mobility; Automated Traffic Systems
Learning content: One module from one of six Fields of Application already known from the Bachelor's programme (defined as personal Main Field of Application):
- Autonomous systems: Radio and Micro Sensors; IoT wireless networks; Software for autonomous safety-critical Systems; Autonomous Driving; Wireless Sensor Networks; Localization and Positioning Systems; Autonomy of Robotic Systems (Autonomous Systems); HMI for autonomous Systems
- Circular Economy and Environmental Technology: Circular Economy Systems and Recycling; Plant Planning & Logistics; Modeling and Simulation of Ecosystems; Planning and Planning Legislation; Emerging Technologies for the Circular Economy
- Digital Transformation: Investment and Finance; Digital Entrepreneurship; Development of Digital Business Models; Managing the Digital Transformation; Agile requirements engineering for complex and scaled systems
- Energy: Fossil and renewable energy resources; Basic industry and energy transition; Integral Energy Concepts; Simulation of Buildings and Energy Systems
- Industry 4.0: System Automation; Product Data Management in Industry 4.0; Construction for Additive Manufacturing; IoT wireless networks; Virtual Development Methods; Application of Artificial Intelligence Methods
- Mobility: Management and Technology of Complex Projects in the Context of the Automotive Domain; Digital Mobility and Traffic Services; Digitalization in Logistics; Software for autonomous safety-critical Systems; Mobility Management; Traffic Safety; Project Management in Public Transport; Optimization in Traffic Management; Energy supply and energy demand in Mobility; Automated Traffic Systems
Second Field of Application module (1. Semester) Learning content: One module from one of six Fields of Application already known from the Bachelor's programme (defined as personal Second Field of Application):
- Autonomous systems: Radio and Micro Sensors; IoT wireless networks; Software for autonomous safety-critical Systems; Autonomous Driving; Wireless Sensor Networks; Localization and Positioning Systems; Autonomy of Robotic Systems (Autonomous Systems); HMI for autonomous Systems
- Circular Economy and Environmental Technology: Circular Economy Systems and Recycling; Plant Planning & Logistics; Modeling and Simulation of Ecosystems; Planning and Planning Legislation; Emerging Technologies for the Circular Economy
- Digital Transformation: Investment and Finance; Digital Entrepreneurship; Development of Digital Business Models; Managing the Digital Transformation; Agile requirements engineering for complex and scaled systems
- Energy: Fossil and renewable energy resources; Basic industry and energy transition; Integral Energy Concepts; Simulation of Buildings and Energy Systems
- Industry 4.0: System Automation; Product Data Management in Industry 4.0; Construction for Additive Manufacturing; IoT wireless networks; Virtual Development Methods; Application of Artificial Intelligence Methods
- Mobility: Management and Technology of Complex Projects in the Context of the Automotive Domain; Digital Mobility and Traffic Services; Digitalization in Logistics; Software for autonomous safety-critical Systems; Mobility Management; Traffic Safety; Project Management in Public Transport; Optimization in Traffic Management; Energy supply and energy demand in Mobility; Automated Traffic Systems
Learning content: One module from one of six Fields of Application already known from the Bachelor's programme (defined as personal Second Field of Application):
- Autonomous systems: Radio and Micro Sensors; IoT wireless networks; Software for autonomous safety-critical Systems; Autonomous Driving; Wireless Sensor Networks; Localization and Positioning Systems; Autonomy of Robotic Systems (Autonomous Systems); HMI for autonomous Systems
- Circular Economy and Environmental Technology: Circular Economy Systems and Recycling; Plant Planning & Logistics; Modeling and Simulation of Ecosystems; Planning and Planning Legislation; Emerging Technologies for the Circular Economy
- Digital Transformation: Investment and Finance; Digital Entrepreneurship; Development of Digital Business Models; Managing the Digital Transformation; Agile requirements engineering for complex and scaled systems
- Energy: Fossil and renewable energy resources; Basic industry and energy transition; Integral Energy Concepts; Simulation of Buildings and Energy Systems
- Industry 4.0: System Automation; Product Data Management in Industry 4.0; Construction for Additive Manufacturing; IoT wireless networks; Virtual Development Methods; Application of Artificial Intelligence Methods
- Mobility: Management and Technology of Complex Projects in the Context of the Automotive Domain; Digital Mobility and Traffic Services; Digitalization in Logistics; Software for autonomous safety-critical Systems; Mobility Management; Traffic Safety; Project Management in Public Transport; Optimization in Traffic Management; Energy supply and energy demand in Mobility; Automated Traffic Systems
Interdisciplinary digitalisation project 1 (1. Semester) Learning content: In terms of content, students work independently on current real life issues related to digitalisation. At the end of the semester, all results of the project should be presented in an appropriate form for the specific semester and role.
Learning content: In terms of content, students work independently on current real life issues related to digitalisation. At the end of the semester, all results of the project should be presented in an appropriate form for the specific semester and role.