Industrial Upskilling
Through Innovate UK Project No: 10194914 with Nottingham Trent University, IRIS supports the development of a data science course shaped around industrial impact, applied AI systems and professional practice.
Building applied AI and data science capability for industry.
Industrial Upskilling is designed to strengthen the connection between data science education, applied AI systems and the practical requirements of modern industrial environments.
Applied AI systems
Develop practical understanding of AI systems that can support real operational and industrial applications.
Data science capability
Strengthen data-driven skills through a course shaped around practical business and industrial impact.
Professional practice
Connect academic learning with employer requirements, real-world challenges and professional practice.
Industrial impact
Ensure learning is aligned with the practical needs of organisations adopting AI and data-driven technologies.
Bringing industrial deployment experience into data science education.
IRIS supports the development of the course by contributing an industry perspective focused on applied AI systems, industrial deployment, real-world data challenges and practical professional practice.
Industrial use cases
Practical examples that connect data science and AI learning with real industrial challenges.
Applied datasets
Representative data and deployment scenarios supporting realistic data science exercises.
Industry mentoring
Practical insight into how AI and data technologies are implemented within operational environments.
Professional practice
Supporting learning that reflects employer expectations, real deployment considerations and industrial impact.
Academic learning shaped around real industrial impact.
Nottingham Trent University provides the academic environment while IRIS contributes industrial insight, helping shape a data science course around applied AI systems, professional practice and employer needs.
Data science & AI learning
Develop structured learning around data science, applied AI systems and the technical capabilities required for modern data-driven organisations.
Employer-focused application
Align learning with industrial requirements through practical examples, applied use cases and professional practice focused on creating measurable impact.
Developing a workforce ready to apply AI in industry.
The project strengthens workforce capability by connecting data science learning with practical AI deployment, professional practice and industrial impact.
Strengthening applied AI and data science skills relevant to modern industry.
Course content shaped around real employer and operational requirements.
Connecting academic learning with practical workplace application and industry expectations.
Helping develop the skills needed to translate AI and data science into meaningful industrial value.
Industry and academia working together.
Industrial Upskilling brings together Nottingham Trent University and IRIS Automation to support the development of a data science course shaped around applied AI systems, workforce capability, professional practice and industrial impact.