Â鶹´«Ã½

Overview

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.

Â鶹´«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.

Quality and ranking

Professional accreditation review and recognition of professional qualifications in Europe

Professional accreditations are reviewed regularly by professional bodies to ensure they meet the latest industry practices and regulatory standards. This keeps your degree rigorous, relevant, and highly valued by employers, providing a clear pathway into your chosen career.

If you are studying an accredited degree and considering a career in Europe after graduation, it is important to stay informed about international standards. The best resource for current information is the .

This official resource provides essential details on:

• whether your profession is regulated in another country.
• the specific steps you need to take to practice abroad.
• which organisations you should contact to begin the process.

What you'll learn

Phase one: Core foundations in Data Science

You'll build a solid foundation in programming, statistics, machine learning and data handling and visualisation, using tools such as R and Python.

In your second semester, you’ll explore the theory and application of data science in greater depth. A skills-based module delivered by NICD will allow you to work on solutions to real challenges drawn from NICD’s client projects.

You’ll also develop your legal skills, focusing on:

• legal frameworks
• data protection, privacy and security
• equality and non-discrimination

These will be discussed from a UK/EU perspective.

Phase two: Data Science in Agritechnology

Explore how data science tools and approaches can inform new advances in agritechnology.

Through modules in precision breeding and phenomics, you’ll learn about how advances in genomics are driving precision breeding, and how sensors and imaging technologies are enabling more productive and sustainable farming.

Phase three: Capstone project

This in-depth research project combines your knowledge of data science and agritechnology.

It may consist of:

• A research dissertation on an agritechnology and data science topic
• A project addressing an agritechnology challenge using data science. This may be in collaboration with agritech companies and other industry partners.

Modules

The module information on our course pages is intended to provide an example of what you will study.

Our teaching is informed by research. Course content changes periodically to reflect developments in the discipline, the requirements of external bodies and partners, and student feedback.

Full details of the modules on offer will be published through the Programme Regulations and Specifications ahead of each academic year. This usually happens in May.

Some courses have optional modules. Student demand for optional modules may affect availability.

Data Science and Agritechnology MSc modules

You'll take the following compulsory modules:

Compulsory modules	Credits
Data Visualisation and Data Handling	20
Programming and Machine Learning	20
Foundations of Data Science and Artificial Intelligence	20
Data Science and AI in Practice	20
Digital Tools in Precision Breeding	20
Agritechnology and Precision Phenomics	20

You'll also take one of the following modules:

Optional modules	Credits
Case Study Project (Applied)	60
Individual Project (Applied)	60

Module information for 2027 entry

The modules listed here show our planned 2027 curriculum, but the links connect to our live 2026 modules (as the 2027 ones are not yet live). Consequently, some titles may differ. Some modules are also listed as inactive, but will be active for 2027 entry. The updated 2027 module details will be published ahead of the academic year.

How you'll learn

Delivery and teaching methods

You'll be taught using a range of methods, including:

• lectures
• seminars
• workshops
• field work
• industrial visits
• practical lab sessions
• supervisor meetings
• guided independent study

Assessment methods

Depending on your modules, you'll be assessed through a combination of:

• Computer assessment
• Dissertation
• Oral presentation
• Practical lab report
• Problem-solving exercises
• Report
• Research proposal

Additional assessment information

Some assessments will be completed on our specialist software, Numbas.

Support

Data Science resources

Before the course begins, you’ll receive a set of resources designed to support your transition into data science. These materials provide a fast-paced refresher on key mathematical concepts, helping bridge the gap between what you’ve learned previously and what you'll encounter on the course. You’ll start your course with confidence and be able to refer to the resources as your learning progresses.

Practical sessions

The course is made up of a large number of practical sessions, allowing you to try out different skills and techniques with the support of academic staff and demonstrators.

Numbas learning software

You'll have access to specialist learning software called Numbas. Developed at Â鶹´«Ã½, it's now used by mathematicians and statisticians worldwide.This innovative software allows you to work on interactive code worksheets, so you can test and refine the mathematics skills you’ll need for data science.

Maths-Aid

Students can make use of Maths-Aid, a team of experts who provide support and advice on all aspects of maths and statistics.Statistics and Data Science clinic

During your capstone project, you’ll be supported by our Statistics and Data Science Clinic. You can book one-to-one sessions with our expert data scientists. Whether you need support with a technical issue or refining your analysis, tailored support is available to help your project progress. This support is in addition to your project supervisor.

Our staff

The postgraduate degree programme is delivered by:

• School of Natural and Environmental Sciences
• School of Mathematics, Statistics and Physics

This postgraduate degree is informed by the latest developments in data science, agriculture and agritechnology. You’ll work alongside academics who are at the forefront of research and industry collaboration, including:

• Centre for Data Science and AI: Driving the development and application of new methods for extracting the value from data.
• Statistics and Data Science: World-class research in modern statistics and data science.
• Scalable Computing: Internationally renowned for tackling research challenges in high-performance systems, data science, machine learning and data visualisation.
• Agricultural Production Systems: Advancing agriculture, food security and rural development using insights in natural sciences, data analytics and socio-economic sciences.
• Animal Sciences: Applying research to areas of societal, industrial and policy importance in animal science.

We are also home to the , which collaborates with industry partners across multiple sectors.

We have established links with leading organisations and industry partners in data science and agriculture, who help to shape the curriculum and offer guest speakers, networking and mentoring opportunities.

Your development

Through a module delivered by the NICD, you’ll develop key professional skills by working through real innovation processes. You will take a problem from initial conception through to a practical, client-focused solution.

You’ll also strengthen your teamwork and communication skills by working on a group project. You’ll learn how to present your findings clearly to non-specialist audiences.

Research skills

You’ll learn how to formulate and deliver in-depth and data-driven research projects. Key skills will include formulating robust hypotheses, selecting appropriate analytical methods, analysing data and communicating findings in a clear and compelling way.

Practical skills

This course will give you the tools to collect and interpret valuable datasets, both in labs and in the field.

You’ll learn:

• to use programming languages and appropriate statistical software to analyse and interpret datasets
• to solve various data science and AI problems, and communicate findings and insights
• to apply agritechnology tools and phenomics platforms, using digital sensors and advanced imaging technologies
• to collect, manage and interpret agricultural and environmental data
• to harness datasets to support precision breeding, crop improvement and agriculture strategies

You'll also become adept at working independently and in groups to a set deadline, and you'll improve your presentation and problem-solving skills through industry-focused challenges and projects.

Work experience opportunities

While this course does not include a formal placement, you will gain practical experience through working with our industry partners on real-world projects.

Our Careers Service also offers support in securing work experience and placements.

Your future

This postgraduate degree will help you to understand the potential of data science tools and how to apply them to specialised agriculture problems.

You will be able to progress into a range of roles in agritechnology and related industries, including:

• agronomist
• tech analyst/agritech data scientist
• precision agriculturist
• plant breeder/geneticist
• environmental scientist
• agritech consultant

Further study

Once you graduate this course, you’ll have the knowledge to progress to PhD level study and further research opportunities in academia.

Industry links

As one of the most established and well-regarded agriculture universities in the UK, we have close links to many partners in industry and government.

These include:

• John Deere
• BASF
• KWS
• McCain
• Agrii
• FERA science

Our agricultural graduates have progressed into diverse roles across farm management, agribusiness, agricultural technology and services and the wider supply chain.

We are supported by an Industrial Advisory Board (IAB) that provides strategic advice and industry insights to support the development of programmes in the School of Natural and Environmental Sciences. The IAB includes representatives from:

• Natural England
• Agriculture and Horticulture Development Board (AHDB)
• Innovate UK
• AstraZeneca
• Diageo
• HSBC
• House of Lords
• Centre for Process Innovation (CPI)
• North East Mayoral Strategic Authority
• Technology Services Association (TSA)

Dedicated Careers Consultant and Employability Facilitator

Alongside support from our central Careers Service, you’ll benefit from a dedicated Careers Consultant and Employability Facilitator. You can book one-to-one appointments to plan your next steps, and take part in employability events and workshops throughout the year.

These careers resources are designed to help you develop your skills, connect with employers, and grow your professional network.

Our Careers Service

Our expert Careers Service is here to help you take the next steps in your professional life. We will support you while you’re studying with us and for up to three years after you graduate.

You will have access to expert one-to-one advice and guidance through our campus careers centre and online, along with digital resources, workshops, networking opportunities, and careers and recruitment events.

We’ve been awarded 5 QS Stars for Student Employability (2025). Many of our degrees are shaped by strong links with national and international businesses. We are committed to helping you access real-world experience opportunities and develop key skills through paid work placements and internships.

Visit our Careers Service website

Facilities

Urban Sciences Building

The Urban Sciences Building is a £58 million flagship development at the £350 million Â鶹´«Ã½ Helix regeneration site in the heart of Â鶹´«Ã½. Â鶹´«Ã½ Helix brings together:

• academia
• the public sector
• communities
• business and industry

The USB is a living laboratory and has over 4,000 sensors that record detailed research data, which can be used in student projects.

As a student, you'll have access to facilities including:

• 300+ PCs
• large, flexible computer clusters
• collaborative spaces for study or group projects
• dedicated practical space for postgraduate students
• Urban Café

Explore the Urban Sciences Building

Learn more about the Â鶹´«Ã½ Helix

Herschel Building

The Herschel Building is a well-equipped learning environment that will support your studies. You'll have access to extensive IT facilities for teaching and self-study, including:

• computer-based exercises with instant review of model solutions
• problem-solving video tutorials
• recording system for video capture of lectures, which you can download and watch again to help you revise
• dedicated study and social spaces, including a computing area.

Explore the Herschel Building

Agriculture Building

The Agriculture Building is the home of Agriculture and Animal Science, based in the School of Natural and Environmental Sciences, and located on our vibrant, city-centre campus. Here, some of our state-of-the-art facilities include laboratories, plant growth incubators and vertical farming units.

During your studies, you'll have access to Â鶹´«Ã½ Farms. NU Farms encompasses mixed animal, arable and biomass operations, with a commercial dairy and beef herd and a planned bed-and-breakfast pig enterprise.

The farms are used for commercial, teaching and research purposes. They are equipped with advanced sensing technologies, including optical, spectral and agri-diagnostic sensors deployed across:

• handheld devices
• drone-based platforms
• fixed controlled-environment systems
• tractor-mounted equipment
• geo-referenced robotic systems.

This provides opportunities to develop skills relating to data gathering and analysis, soil sampling, animal and plant health, pests and weed identification.

At NU Farms we promote innovation to shape policy and support scientific research. We have extensive collaborations including:

• UK Agri-Tech Centre with on-site facilities
• Fera Science (Fera)
• Institute of Agri-Food and Rural Innovation (IAFRI)
• Linking Environment and Farming (LEAF)

Our focus is on sustainability, input from industry and research-driven teaching led by top academics. We will prepare you for a successful career in agriculture, animal science and related fields.

Fees, Funding and Scholarships

Tuition fees for 2027 entry (per year)

Tuition fee increases

As a general principle, you should expect the tuition fee to increase in each subsequent academic year of your course, subject to government regulations on fee increases and in line with inflation.

EU, other EEA and Swiss nationals - tuition fee status

Depending on your residency history, if you’re a student from the EU, other EEA or a Swiss national, with settled or pre-settled status under the EU Settlement Scheme, you’ll normally pay the ‘Home’ tuition fee rate and may be eligible for Student Finance England support.

EU students without settled or pre-settled status will normally be charged fees at the ‘International’ rate and will not be eligible for Student Finance England support. You may be eligible for a scholarship worth 25% off the international fee. Search our funding database. 

Scholarships

We support our EU and international students by providing a generous range of Vice-Chancellor's automatic and merit-based scholarships. See our searchable postgraduate funding page for more information. 

Search for funding and scholarships

Find funding available for your course

Select your country

What you're paying for

Tuition fees include the costs of:

• matriculation
• registration
• tuition (or supervision)
• library access
• examination
• re-examination
• graduation

Find out more about:

• living costs
• tuition fees

Deposit

If you are an international student or a student from the EU, EEA or Switzerland and you need a visa to study in the UK, you may have to pay a deposit.

You can check this in the How to apply section.

Funding deadlines

If you're applying for funding, always check the funding application deadline. This deadline may be earlier than the application deadline for your course.

For some funding schemes, you need to have received an offer of a place on a course before you can apply for the funding.

How to apply

Open days and events

Find out about how you can visit Â鶹´«Ã½ in person and virtually

Overseas events

We regularly travel overseas to meet with students interested in studying at Â鶹´«Ã½.

Visit our events calendar for the latest events