Data Science in Manufacturing (DSIM)

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Turn manufacturing data into practical business improvements.

Data Science in Manufacturing is a practical 10-week programme that helps manufacturing professionals understand, prepare and use data to tackle real operational challenges.

Working with NMIS experts, you'll explore what manufacturing data you have, where it sits, its quality and how it can support better operational and business decisions. You'll combine practical learning with hands-on workshops, building the skills and confidence to apply data science techniques in a manufacturing environment.

Programme information at a glance

  • Duration: 10 weeks
  • Start Date: TBC - register your interest
  • Format: Half-day lecture + guided workshop
  • Cohort Size: 16–20 participants (subject to demand)
  • Price: £2,500 + VAT per participant (£2,250 for NMIS members)

Why this programme is different

Manufacturing from the outset

Learn data science through the realities of manufacturing data, systems and operational decision-making.

Practical, hands-on learning

Combine focused learning with guided workshops covering real manufacturing data challenges.

A foundation for AI 

Build the understanding and practical data capability needed to progress into AI, AI agents and more advanced applications.

Our approach

We know every manufacturing organisation faces different challenges. That's why we begin by understanding your business before the programme starts, ensuring your team works on opportunities that matter most.

  1. Book a discovery call
    A short conversation to understand your organisation, current challenges and whether the programme is the right fit.
  2. Manufacturing use case discovery
    If appropriate, we'll facilitate a structured discovery session to identify a suitable manufacturing challenge, assess organisational readiness and define the project your team will develop throughout the programme.
  3. Learn while solving a real challenge
    Throughout the 10-week programme you'll develop practical data science skills while applying them directly to your chosen manufacturing use case with support from NMIS specialists.
  4. Continue your AI journey
    Finish the programme with new capability, a validated use case and a roadmap for future AI and data-driven improvement across your organisation.

Build AI capability that delivers real manufacturing value

This programme is designed to help manufacturers move beyond theory by combining expert-led learning with practical application. If you're exploring how data science can improve productivity, quality or operational performance, we'd love to discuss your objectives.

Contact us

Who is this programme for?

Designed for manufacturing professionals who want to strengthen practical data-science capability and apply it directly to manufacturing problems.

This programme is ideal for organisations that:

  • Want to improve productivity, quality or operational performance using data
  • Have access to operational or production data
  • Have a manufacturing challenge they want to explore
  • Want to build in-house capability rather than outsource expertise
  • Are ready to apply learning to real manufacturing projects

What you will learn

Programme overview

Across 10 practical sessions, you'll build the knowledge and skills to understand, prepare, analyse and use manufacturing data effectively. Starting with the manufacturing data pyramid, you'll explore what data exists, where it sits and its quality before progressing through visualisation, statistical analysis, databases and machine learning.

Each session combines focused learning with a guided workshop, helping you apply data science techniques in a manufacturing context and understand how data can support better operational and business decisions.

Week 1: Data in Manufacturing and the Data Pyramid
Understand how manufacturing data progresses from raw measurements to decision-ready information.

Week 2: Manufacturing Data Types
Explore numerical, categorical, time-series, spatial, image, signal, log, simulation and cost data.

Week 3: Data Quality, Preprocessing and Synchronisation
Learn how to identify missing or noisy data, prepare different data types and align data streams.

Week 4: Visualising Manufacturing Data
Choose effective visualisations and create views that communicate manufacturing insight clearly.

 

Week 5: Statistical Analysis and Exploratory Data Analysis
Use statistics, distributions and relationships to identify patterns and variation within manufacturing data.

Week 6: Relational Databases
Understand how manufacturing data can be structured, connected and queried using relational databases.

Week 7: Graph Databases and Advanced Data Storage
Explore how connected manufacturing data can support traceability and other relationship-driven questions.

Week 8: Machine Learning – Regression and Classification
Explore supervised machine-learning approaches for predicting process outcomes and product quality.

Week 9: Machine Learning – Clustering and Principal Component Analysis
Identify operating patterns and explore ways to simplify complex, multivariable data.

Week 10: From Data to Decisions
Bring together data, storage, quality, visualisation and modelling to understand an end-to-end manufacturing data-to-decision workflow.

What you'll achieve

By the end of the programme you'll have:

  • Greater confidence using manufacturing data to support decision-making
  • Practical experience analysing and visualising manufacturing data
  • Stronger understanding of data quality, structure and storage
  • Experience applying statistical and machine-learning techniques
  • Better judgement about where data science can add value in manufacturing
  • A stronger foundation for future AI applications

Part of the Applied Data & AI for Manufacturing Programme

From data foundations to the latest developments in agentic AI.

Applied Data & AI for Manufacturing brings together four courses designed to help manufacturers build practical capability across data and AI.

Follow the full pathway or select the course that matches your current level and needs.

01. DATA FOUNDATIONS

Data science in manufacturing

02. APPLY AI

Fundamentals of AI in Manufacturing

COMING SOON

03. CREATE AGENTS 
Creation of AI Agents in manufacturing 

COMING SOON

04. ORCHESTRATE

Agentic Architecture & Orchestration

 

FAQs

Frequently asked questions

Everything you need to know about working with NMIS on aerospace projects.

The first step is a conversation with our team to understand your manufacturing challenges, business objectives and project requirements. Whether you're looking to increase production readiness, reduce manufacturing costs, improve MRO capability or strengthen supply chain resilience, we'll identify where NMIS expertise can add value and help define the best route forward.

No. The programme is designed for manufacturing professionals with operational knowledge who want to understand how data science can be applied within their business.

Participants should have access to operational or production data and a business challenge they would like to explore during the programme.

The programme uses a hybrid approach. Sessions are delivered in person and broadcast live, allowing flexibility for participants where appropriate. However, to get the most from this course, we recommend attending in person, if you can.

Yes. Alongside scheduled cohorts, we can develop bespoke programmes tailored to your organisation, manufacturing processes and strategic priorities. Contact us to discuss your requirements.