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University College Dublin - UCD
University College Dublin - UCD
Course Code
T374
Zone
Attendence
Full time

Course Summary

The programme is aimed at students and industry professionals who wish to build their knowledge and skills-base to address the complexities of developing, deploying and managing digital technology in the agriculture sector. With a focus on design, numeracy, hardware and software technology, our students will be deeply engaged with agricultural production, and specifically technology to enhance efficiency, sustainability, resilience and reliability. The modules will be part of existing final year full-time bachelor’s and master’s degrees and are appropriate for professionals seeking to deepen existing skills or learn brand new skill sets.

College Link

University College Dublin - UCD
College Link > T374 - Digital Agriculture

Colleges often have information about the course on their own website, along with other useful information relating to the college. (Note: Not always available)

Career Sectors

This course prepares you for working in the Career Sectors below. Follow the links to get a fuller understanding of the sectors you are preparing for.

Entry Requirements

A 2.2 or higher honours degree in agriculture, biological science, physical science, environmental related,
engineering or computer science is required.

Where an applicant has no formal qualification encompassing agriculture/biology a personal experience of informal experience with agriculture will be 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.

Application Details

How to apply?
The following entry routes are available:

MSc Digital Agriculture (Sept) FT (T374)
Duration 1 Years
Attend Full Time
Deadline Rolling*
* Courses will remain open until such time as all places have been filled, therefore early application is advised

NEXT INTAKE: 2023/2024 September

Apply Here

Fees

How to apply?
The following entry routes are available:

MSc Digital Agriculture (Sept) FT (T374)
Duration 1 Years
Attend Full Time
Deadline Rolling*
* Courses will remain open until such time as all places have been filled, therefore early application is advised

The Student

Career Interests

This course is typically suited for people with the following Career Interests. If these interests do not describe you, this course may prepare you for work you may not find satisfying.

Investigative

The Investigative person will usually find a particular area of science to be of interest. They are inclined toward intellectual and analytical activities and enjoy observation and theory. They may prefer thought to action, and enjoy the challenge of solving problems with sophiscticated technology. These types prefer mentally stimulating environments and often pay close attention to developments in their chosen field.

Naturalist

Not surprisingly, some aspect of the natural sciences will run through the Naturalist's interests - from ecological awareness to nutrition and health. People with an interest in horticulture, land usage and farming (including fish) are Naturalists.

Some Naturalists focus on animals rather than plants, and may enjoy working with, training, caring for, or simply herding them. Other Naturalists will prefer working with the end result of nature's produce - the food produced from plants and animals. Naturalists like solving problems with solutions that show some sensitivity to the environmental impact of what they do. They like to see practical results and prefer action to talking and discussing.

Career Progression

Graduates of the MSc Digital Agriculture may find employment opportunities in the following areas:

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)

Duration

1 Year Full-time

College Profile

University College Dublin - UCD
University College Dublin - UCD
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