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Data Science and Agritechnology MSc

Important application information

This new course will commence in September 2027.

Overview

Discover how data science tools and techniques can transform the future of food production, sustainable farming and precision breeding.

Farming is constantly evolving.

Data and advanced technologies are now crucial tools in maintaining food security. Producers are embracing new thinking to improve agricultural production, farming efficiency, crop management, product quality and supply chains.

In this conversion degree, you'll apply data science techniques to one of society's most essential fields.

You'll receive training in core data science principles including:

  • programming
  • statistics
  • artificial intelligence
  • machine learning

You'll work hands-on with the latest tools, and discuss solutions to real-world challenges.

You’ll then learn how these techniques are transforming agriculture. You’ll investigate how digital technologies, including imaging, sensing systems, autonomous platforms and data analytics can deliver better crop production and more precise breeding.

You’ll be taught by accomplished data science professionals, including experts at the . NICD collaborates with ambitious organisations of all sizes to unlock the potential of their data.

Âé¶¹´«Ã½ is a distinguished centre for agriculture. You'll have access to commercial farms, plant growth incubators and state-of-the-art laboratories. You'll work alongside leading researchers in agriculture and animal science.

Ensuring sustainable and high-quality food production is  a global challenge. Master the technologies which are delivering solutions, worldwide.

Who this course is for

This conversion course is designed for applicants who do not hold a degree in computer science or a related computational field. It is suitable for those looking to enter an agritechnology-related data science role, or those in agricultural roles who want to master data science techniques.

Important information

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Get in touch

Questions about this course?

If you have specific questions about this course you can contact:

PGT Education Team

School of Mathematics, Statistics and Physics

Telephone: +44 (0) 191 208 3944

Email:  maths.physics@ncl.ac.uk

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