MSc Digital Technology for Sustainable Agriculture

Program Overview

Through a blended learning approach, students develop expertise in computer programming, data processing, IoT, and machine learning. The program's research focus and industry collaborations prepare graduates for careers in precision farming, decision support, IoT, and data analytics in the agricultural sector.

Program Outline

• Program Level: Graduate Taught (level 9 NQF, credits 90)
• Program Objectives:
• Provide students with cutting-edge training in digital technology areas, including computer programming, data processing, Internet-of-Things, and machine learning implementations.
• Build students' knowledge and skills to address the complexities of developing, deploying, and managing digital technology in the agri-food sector.
• Module Structure:
• All modules are optional.
• Students can take themed clusters of modules (e.g., precision farming, sensing technology, computers and electronics, data science) to align with their specific technical interests or upskilling needs.
• Individual Modules:
• Some modules can be taken individually through the Advance Centre catalogue.
• Most modules are online for flexibility.
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• Credit Structure: 90 total credits, 60 credits of taught modules, and 30 credits for a research project.
• Module Selection: All autumn and spring modules are optional and must be selected in consultation with the Programme Director.
• Module List:
• 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

Teaching:

• Teaching Methods:
• The program employs technology-enabled flexible teaching approaches suitable for both full-time students and upskilling professional learners.
• Faculty:
• Dr. Dimitrios Argyropoulos, Programme Director, has a strong track record in research and innovation.
• He leads the €11 million Horizon Europe Watson project and is the Principal Investigator in 10 ongoing European projects on sustainable and digitised agri-food value chains.

Careers:

• Potential Career Paths:
• Agricultural machinery (e.g., Agco, CNH Industrial, Claas, John Deere)
• Precision farming (e.g., Amazone, Lemken, Rauch, Dairymaster)
• Decision support in agriculture (e.g., Corteva Digital Ag, Syngenta Global)
• IoT, data, and predictive analytics (e.g., BASF, Bosch, IBM, Microsoft)

Other:

• Program Duration: 1 year
• Attendance: Full Time
• Mode of Delivery: Blended
• Next Intake: 2024/2025 September
• Contact Name: Katie O'Neill
• Program Location: Lyons Research Farm (for applied research)
• Program Focus: The program emphasizes the use of digital technology to address challenges in the agriculture sector, including data capture, analysis, and sharing along the agricultural value chain.
• Program Dynamic: The mix of full-time and part-time students creates a dynamic learning environment where learners can complement and help one another.

nonEU fee per year - € 29100

Fees are subject to change