MSc in Digital Technology for Sustainable Agriculture
Dublin, Ireland
DURATION
1 Years
LANGUAGES
English
PACE
Full time
APPLICATION DEADLINE
Request application deadline
EARLIEST START DATE
Sep 2025
TUITION FEES
EUR 29,100 / per year *
STUDY FORMAT
Blended
* non-EU fee per year - €29,100; EU fee per year - € 9,530
Introduction
Digital Technology for Sustainable Agriculture is the integration of new and advanced technologies into crop and livestock farming systems to enable farmers and other professionals in the sector to improve food production.
UCD’s MSc Programme on Digital Technology for Sustainable Agriculture is targeted towards providing students with cutting-edge training in digital technology areas that include a number of modules in computer programming, data processing, Internet-of-Things and machine learning implementations.
This programme will build student’s knowledge and skills base to address the complexities of developing, deploying and managing digital technology in the agri-food sector with a focus on enhancing efficiency, sustainability and resilience at all levels of food production.
The programme also offers hands-on experience on a range of novel digital technology, training in state-of-the-art labs and applied research in a real-life environment at the Lyons Research Farm.
Delivery Mode & Themes
This programme is primarily delivered face-to-face, but will also include some fully online modules and blended delivery models. All modules are optional and students will be able to take themed clusters of modules (e.g. three modules of precision farming, three modules of sensing technology, three modules of computers and electronics, three modules of data science) to reflect specific technical interests or needs for upskilling.
Gallery
Ideal Students
Who should apply?
Full-Time option suitable for:
- Domestic(EEA) applicants: Yes
- International (Non-EEA) applicants currently residing outside of the EEA Region. Yes
Admissions
Curriculum
All autumn and spring modules are optional and must be selected in consultation with the Programme Director.
Students will be able to take themed clusters of modules (e.g. three modules of precision farming, three modules of sensing technology, three modules of computers and electronics, and three modules of data science) to reflect specific technical interests or needs for upskilling.
- Computer Programming
- Computers and Electronics in Agriculture
- Numerical Methods for Agriculture
- IoT-enabled Agrifood Production
- Sensors and Sensing Systems
- Remote Sensing and GIS for Decision Making
- Hyperspectral Imaging
- Soil Technology
- Optical Sensing Technology
- Crop Technology
- Precision Agriculture
- Precision Livestock Management
All modules will be delivered mainly face-to-face including blended (i.e., online lectures and assignments supported by occasional face-to-face tutorials), and intensive (i.e., one or two weeks full-time) formats. Students will be able to take themed clusters of modules (e.g. three modules of precision farming, three modules of sensing technology, three modules of computers and electronics, and three modules of data science) to reflect specific technical interests or needs for upskilling.
Research Project: Students will undertake an applied, work-related, research project in the summer trimester.
Program Tuition Fee
Career Opportunities
Ireland is home to the world’s top 10 technology companies. It is known as the IT Capital of Europe and is among the world’s most technologically developed nations. There are excellent job opportunities, with 5,000 job vacancies in the sector at present. Big Tech companies have recently, to a greater or lesser extent, entered farming and food industries. In addition, a dynamic transformation is taking place in the world of agriculture, triggered by the rapid emergence and growth of AgTech startups. This highlights the immense career possibilities and promising future for our graduates in the areas of precision farming, decision support in agriculture, IoT, smart sensors, intelligent algorithms, data, and predictive analytics.