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  MSc Digital Technology for Sustainable Agriculture

University College Dublin    UCD School of Biosystems and Food Engineering

Full time September MSc 1 Year
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Agriculture Computer Science Engineering Agricultural Technology Environmental Engineering Dublin Ireland On Campus
UCD School of Biosystems and Food Engineering Logo
Agriculture (1) Computer Science (8) Engineering (12)

About the course

The world’s population is expected to grow to approx. 10 billion by 2050. This growth will result in increased demand for resources, raw materials and food. Furthermore, the world faces intersecting challenges like climate change, exploitation of natural capital and an aging and declining rural population.

To produce a “sustainable food future,” the world must increase food production while cutting GHG emissions and maintaining (or reducing) the land used in agriculture.

Digital agriculture could address these challenges by making the agri-food value chain more efficient, equitable, and environmentally sustainable - before, during, and after on-farm production.

Read more about this course

Entry Requirements

A 2.2 or higher in an Honours degree (NFQ Level 8 or international equivalent ) in Agriculture, Biological science, Physical science, Environmental related, Engineering or Computer Science is required.

Other disciplines and holders of Certificate and Diploma qualifications will be considered subject to an application detailing suitable mathematical, technological, and analytical skills, particularly if these can be demonstrated by experience in a relevant industrial/work environment.

Where an applicant has no formal qualification experential experience will be taken into consideration on a case by case basis.

Fees

Please see the university website for further information on fees for this course.

 Course Content

Course Content Entry Requirements Fees Where will I study? Videos Student Profiles
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Where will I study?

Where is University College Dublin

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Student Profile

Dr Dimitrios Argyropoulos, Programme Director

"Rapid advances in computing technologies are leading to radical transformations across a multitude of industry sectors. Data analytics, machine learning, and artificial intelligence offer new solutions to challenges in sectors including agriculture.

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