Course Overview

There is a huge skills gap in the UK workforce regarding data science and artificial intelligence. The Government’s Digital Skills strategy estimates that within the next 20 years, 90 percent of all jobs will require digital skills, with data science pinpointed as a priority area.

At the same time, the agriculture, food, and environment sectors are experiencing a radical shift in demand for data scientists, thanks to applications in agri-tech intelligent farming and a significant surge in demand for general skills using big data and open data across the sector. At the same time, there is a massive demand for data-driven solutions for best-practice solutions for conservation and environmental 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, wildlife, conservation, and environmental science or for someone from a data science background who wishes to enter one of these subject areas. Our flexible program consists of core training in data science tools and further specialized training so you can choose your path: help agri-food companies make smarter business decisions or use data to solve critical conservation challenges.

General Eligibility

This course is ideal for students with a background in agriculture who are interested in pursuing a career in data science or for students with an experience in computing or maths interested in pursuing a career in data science in the agriculture and food industries.

Candidates should possess one of the following:

1. An honors degree in agriculture, environmental science, or a related scientific subject.

2. A suitable UK-basedUK-based Higher National Diploma or Foundation Degree or equivalent in agriculture, environmental science, or related scientific subject with at least two years of industrial or professional experience.

3. A Graduate Diploma, Graduate Certificate, or equivalent.

A degree indicating basic quantitative and mathematical skills is required to apply for this course, and applicants are expected to demonstrate some ability and interest in this area. While formal techniques are taught as part of the MSc course, some prior training and enthusiasm in these areas are expected.

Part Time Work Details

20 hours of work permit weekly for international students.

Language Requirement

• IELTS Academic *

  6.0 overall (with no less than 5.5 in any component)