MSc Data Science for Global Agriculture, Food and Environment 24 months Postgraduate Programme By Harper Adams University |TopUniversities

MSc Data Science for Global Agriculture, Food and Environment

Subject Ranking

# =99QS Subject Rankings

Programme Duration

24 monthsProgramme duration

Main Subject Area

Agriculture and ForestryMain Subject Area

Programme overview

Main Subject

Agriculture and Forestry

Degree

MSc

Study Level

Masters

There is a huge skills gap in the UK workforce when it comes to data science and artificial intelligence. The agriculture, food and environment sectors are experiencing a radical shift in demand for data scientists, thanks to applications in agri-tech, and smart farming and a large surge in demand for general skills using big data and open data across the sector through 2030. At the same time, there is a huge demand for data-driven solutions for best-practice solutions for conservation and environment issues that are compatible with the future of farming. This new course, the first and only of its kind in the UK, seeks to address these challenges. This course is ideal for candidates with a background in agriculture, food science, or in wildlife, conservation and environmental science, or for someone from a data science background that wishes to enter one of these subject areas. This flexible programme consists of core training in data science tools and further specialised training, so that one can choose his/her own path:  help agri-food companies make smarter business decisions, or use data to solve important conservation challenges.

Programme overview

Main Subject

Agriculture and Forestry

Degree

MSc

Study Level

Masters

There is a huge skills gap in the UK workforce when it comes to data science and artificial intelligence. The agriculture, food and environment sectors are experiencing a radical shift in demand for data scientists, thanks to applications in agri-tech, and smart farming and a large surge in demand for general skills using big data and open data across the sector through 2030. At the same time, there is a huge demand for data-driven solutions for best-practice solutions for conservation and environment issues that are compatible with the future of farming. This new course, the first and only of its kind in the UK, seeks to address these challenges. This course is ideal for candidates with a background in agriculture, food science, or in wildlife, conservation and environmental science, or for someone from a data science background that wishes to enter one of these subject areas. This flexible programme consists of core training in data science tools and further specialised training, so that one can choose his/her own path:  help agri-food companies make smarter business decisions, or use data to solve important conservation challenges.

Admission Requirements

80+
6+
169+
56+

Scholarships

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