- Degree
- Master of Engineering (M. Eng.)
- Admission restriction
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No
- Contact
- Application period
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Early May 2026 – 15 July 2026
- Part-time studies
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Please indicate your preference in your application.
Study Green Digital Engineering & become a Master of Engineering
Digitalisation makes an important contribution to mastering the major challenges of our time: progressive climate change, sustainable land use, limited resources, independent energy production, lower production costs and organic food.
With the new skills from the Green Digital Engineering degree programme, you can contribute to achieving the UN's Sustainable Development Goals (SDGs)! Learn to develop, evaluate, optimise and implement digital processes. In this Master's degree programme, you can deepen your knowledge in the field of digitalisation in a unique way.
The most important skills you will acquire during your studies are
- Capture, transfer & store data using sensors
- Evaluate & assess data according to technical criteria
- Develop sensor & data transmission systems
Engineering & Digitalisation: Course content in the Master's programme
The Master's degree programme in Green Digital Engineering (MDE) forms the interface between computer science and applied life sciences as well as green engineering sciences. The content is orientated along the „data“ value chain: Data collection, data transfer and data analysis. You will also learn methods for analysing and optimising processes through the use of sensor technology - with the aim of increasing sustainability.
The first two semesters include modules and project studies on the following topics:
- Data acquisition & data research
- Data transmission & management
- Data processing & modelling (including AI)
- Project & personnel management
The full-time programme concludes in the 3rd semester with the Master's thesis and a colloquium.
Programme structure - Full-time study
The full-time programme can be started in either the summer or winter semester and normally ends in the third semester with the Master's thesis and colloquium. The maximum duration of study is five semesters.
The following modules are offered in the winter or summer semester:
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Winter semester
Module
ECTS
Software Development 5 Data Sources & Data Transfer 5 Remote Sensing & NIRS Applications in Agricultural & Environmental Sciences 5 Advanced application of geographic information systems 5
Project studies 5 Compulsory elective module 5 -
Summer semester
Module
ECTS
Data analysis & machine learning
5 Applied Data & Data Flow Management 5 Sensors & Automation in Agriculture, Food and Environment 5 Applied project management & agile development methods 5 Project studies 5 Compulsory elective module 5 -
3rd semester
Module
ECTS
Master's thesis + colloquium 25 Masterkolleg (scientific work, lectures on Master's thesis) 5
Programme structure - part-time study
In the case of part-time study (please indicate your preference when applying), one semester more is provided for the modules in the winter and summer semesters.
Exemplary - other combinations possible!
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1st Winter semester
Module
ECTS
Software Development 5 Data Sources & Data Transfer 5 Compulsory elective module 5 -
1st Summer semester
Module
ECTS
Data analysis & machine learning
5 Applied Data & Data Flow Management 5 Project studies 5 -
2nd Winter semester
Module ECTS Remote Sensing & NIRS Applications in Agricultural & Environmental Sciences 5
Advanced application of geographic information systems 5 Project studies 5 -
2nd Summer semester
Module ECTS Sensors & Automation in Agriculture, Food & Environment 5 Applied project management & agile development methods 5 Compulsory elective module 5 -
5th semester
Module
ECTS
Master's thesis + colloquium 25 Masterkolleg (scientific work, lectures on Master's thesis) 5
Digitalisation meets sustainability: career prospects after graduation
As a graduate of the Green Digital Engineering master's programme, you will be able to use digital technologies to solve ecological, agricultural, energy and biotechnological challenges.
Your career prospects are diverse:
- You will develop and operate digital systems for agriculture. Using sensor technology, GIS, drones or AI, you will support farmers in using soil, plants and machinery more efficiently. Among other things, you will set up smart farming systems, e.g. for fertiliser or irrigation optimisation, or use AI for yield forecasting or early detection of plant diseases.
- You will develop data-based cultivation concepts for resource-efficient horticulture and forestry.
- You will use sensor technology, remote sensing and AI to manage and protect forests sustainably by analysing forest condition data with drones, satellites and ground measurements, or by setting up digital platforms for sustainable forest management.
- You develop intelligent monitoring systems to record and analyse biodiversity, water quality, air pollutants or climate data.
- You will develop energy management systems for photovoltaics, wind or bioenergy and use IoT sensor technology to operate plants and networks more efficiently.
- You will develop digital solutions for traceability, process reliability and food quality, or analyse data along the entire food value chain.
- You will develop digital solutions for biological, agricultural and environmental issues and use machine learning to analyse biological data (e.g. genomics, fermentation).
- You will work at universities, research institutes, government agencies or NGOs, work on research projects related to AI, IoT, sensor technology and sustainable digitalisation, and support knowledge transfer.
Green Digital Engineering: Your advantages
Exciting professional field
Form the interface between computer scientists and users. The Master's degree programme can be studied without prior knowledge of computer science and is open to anyone with a green Bachelor's degree, at least 180 ECTS credits and, if applicable, proof of German language skills.
High practical component
The application-based degree programme consists almost exclusively of modules, with compulsory work placement components. You will carry out your project studies in the HSWT laboratories or at the Competence Centre for Digital Agriculture (KoDA).
Relaxed study environment
At the Triesdorf campus, you will study in a familiar yet international environment. You also have the opportunity to adapt your studies to your life situation: Part-time job or family - with part-time study, balance is the name of the game!
Want insider knowledge and tips? Then ask our study programme ambassador!
Admission requirements for the engineering degree programme
These admission criteria apply to the Master Green Digital Engineering at the Weihenstephan-Triesdorf University of Applied Sciences:
- Bachelor's degree from Weihenstephan-Triesdorf University of Applied Sciences or equivalent degree from a domestic or foreign university or college in the field of applied life sciences or green engineering, computer science, mechatronics or related fields (no numerus clausus).
- Bachelor's degree with 210 ECTS, but entry is also possible with 180 ECTS by completing the missing credits through additional courses or practical periods.
German language skills with proof of B2 level if your mother tongue is not German. It is recommended to extend your knowledge to C1 at the start of the programme.
(Recognised language certificates inthis document)
Not required:
- Completed Bachelor's degree, as early admission to the Master's programme is possible, the Bachelor's certificate can be submitted later up to the end of the first semester (see FAQs)
- No prior knowledge of computer science required, but you should be interested (see FAQs).
Applications for the Green Digital Engineering Master's programme are made online. The official application period for the summer semester is from the beginning of December to 15 January and for the winter semester from the beginning of May to 15 July.
Frequently asked questions about the Master Green Digital Engineering
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Who is the Green Digital Engineering Master's programme suitable for?
- Bachelor's degree in green engineering or applied life sciences: You have recognised the importance of digitalisation and data processing and would like to deepen your knowledge in this promising field.
- Bachelor in Computer Science or Mechatronics: You want to apply your knowledge in a practical way in the fields of green engineering or applied life sciences.
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Can I start the Master's programme before I have completed my Bachelor's thesis?
Yes, it is possible to start your degree programme early. You can start your degree programme before obtaining your Bachelor's degree if you provide proof of this by the end of the first semester at the latest. If you make use of the early start option, you must submit a certificate confirming that the Bachelor's degree programme will be duly completed during the first Master's semester.
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How can I apply with a foreign qualification?
If you have obtained your first degree abroad, you will need a „Preliminary Review Documentation“ (VPD) issued by uni-assist for the Weihenstephan-Triesdorf University of Applied Sciences (HSWT) in order to apply to our university. The submission of a uni-assist test report is not sufficient. Please allow several weeks for this step. VPDs issued for applications to other universities of applied sciences cannot be accepted. To apply for a VPD at uni-assist, students from India, China and Vietnam must submit an APS certificate. Detailed information can be found on our website for international applicants.
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How are the lectures distributed over the week? How can part-time study be combined with a job?
The courses are usually concentrated within the week. In the part-time programme, the regular attendance time is reduced to 12 weekly hours per semester, which can usually be spread over two weekdays. As the modules are not in a predetermined order and can be taken independently of each other, as well as the project studies and required elective modules, there is additional flexibility. For example, it is also possible to prioritise the winter or summer semester.
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Do I need to have previous knowledge of computer science?
No, because there is a preliminary course at the beginning of each semester to acquire programming skills. Apart from the content of the preliminary courses, no prior knowledge of computer science is required in the modules. Only the interest and motivation to acquire this knowledge (also in preparation for and after the courses) should be present.
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Can I also take part in the programme online?
No, as a University of applied sciences, the focus is on application and a high practical component in the modules. Furthermore, this degree programme thrives on the exchange of ideas with the aim of bringing together the various disciplines, the life sciences and computer science/engineering.
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In which language are the lectures held?
The modules are taught in German, but English required elective modules (WPFs) are available and the Master's thesis can also be written in English. It is recommended that you improve your German language skills to C1 by the start of the programme.
