Biosystems & Food Engineering - Digital Agriculture

University College Dublin

 

Course Name Biosystems & Food Engineering - Digital Agriculture
Course Provider University College Dublin
Course Code T374
Course Type Postgraduate
Qualifications
Award NameNFQ ClassificationAwarding BodyNFQ Level
Degree - Masters (Level 9 NFQ)  More info... Major National University of Ireland Level 9 NFQ
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Attendance Options Full time, Part time, Online or Distance, Daytime, Blended
Location (Districts) Belfield
Qualification Letters MSc
Enrolment and Start Dates Comment NEXT INTAKE: 2022/2023 September
Application Date The following entry routes are available:

MSc Digital Agriculture (Sept) FT (T374)
Duration 1 Years
Attend Full Time
Deadline Rolling*

MSc Digital Agriculture (Sept) PT (T375)
Duration 2 Years
Attend Part Time
Deadline Rolling*

* Courses will remain open until such time as all places have been filled, therefore early application is advised
Application Weblink Web Page - Click Here
Duration 1 Year Full-time
2 Years Part Time
Link to Course Fee Web Page - Click Here
Comment Related Programmes
MEngSc Water, Waste & Environmental Engineering FT
ME Biosystems & Food Engineering FT
MSc Digital Agriculture (Jan) FT
MSc Sustainable Energy & Green Technologies FT
Course Content

Expand+Graduate Taught (level 9 nfq, credits 90)
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. In particular, demand for food is estimated to i...

Subjects Taught

Expand+Credit structure: 90 total credits, 60 credits of taught modules and 30 credits for a research project

All autumn and spring modules are optional and must be selected in consultation with the Programme Director.

The modules will be delivered ei...

Number of Credits 90
Careers or Further 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)
Further Enquiries CONTACT NAME: Laura Egan-O'Brien
CONTACT NUMBER: 01 716 1916
Course Web Page Web Page - Click Here
International Students Web Page - Click Here