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Mining Automation

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Overview

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Learning outcomes

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Course content

1

Autonomous Drilling Systems

2

Real‑Time Fleet Management

3

Predictive Maintenance For Mining Equipment

4

Sensor Fusion And Data Analytics In Mines

5

Robotic Haulage And Load Management

Career Path

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Key facts

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Why this course

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People also ask

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We offer immediate access to our course materials through our open enrollment system. This means:

  • The course starts as soon as you pay the course fee, instantly
  • No waiting periods or fixed start dates
  • Instant access to all course materials upon payment
  • Flexibility to begin at your convenience

This self-paced approach allows you to begin your professional development journey immediately, fitting your learning around your existing commitments.

We offer two flexible learning paths to suit your schedule:

  • Fast Track: Complete in 1 month with 3-4 hours of study per week
  • Standard Mode: Complete in 2 months with 2-3 hours of study per week

You can progress at your own pace and access the materials 24/7.

There are no formal entry requirements for this course. You just need:

  • A good command of English language
  • Access to a computer/laptop with internet
  • Basic computer skills
  • Dedication to complete the course
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Assessment is done through:

  • Multiple-choice questions at the end of each unit
  • You need to score at least 60% to pass each unit
  • You can retake quizzes if needed
  • All assessments are online

Upon successful completion, you will receive:

  • A digital certificate from London School of Planning and Management
  • Option to request a physical certificate
  • Transcript of completed units
  • Certification is included in the course fee
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Why people choose us for their career

Trusted by professionals worldwide

Verified outcomes from learners who finished the course and put it to work.

4.5
Based on 4 learner reviews · 4 countries
98%
Would recommend
100%
Verified learners
2026
Cohort active
Completed from United Kingdom
JM
James Mitchell
GB · Course completed

The Mining Automation course at Stanmore School of Business exceeded my expectations. The curriculum was tightly aligned with my goal of mastering autonomous drilling systems, and the modules on PLC programming and sensor integration gave me hands‑on expertise I could immediately apply at my workplace. The case study on the Rio Tinto autonomous haul trucks was particularly valuable, showing real‑world data analysis techniques. All the reading material was up‑to‑date and the video demonstrations were clear and concise. Overall, the learning experience was professional and highly relevant, and I feel fully equipped to lead our next automation project.

JR
Jessica Rivera
US · Course completed

I took the Mining Automation class because I wanted to get a better grip on the tech behind modern mines. The course was super chill but still packed with solid info. I especially loved the hands‑on labs where we set up a simulated conveyor‑belt control system in Python – that skill is already saving me time back at the plant. The PDFs were clean and the instructor answered every Slack question fast. It wasn’t perfect (a few older references), but overall I’m happy with what I learned and can see the impact on my day‑to‑day tasks.

AP
Ananya Patel
IN · Course completed

Wow! What an energising experience. The Mining Automation program at Stanmore blew me away with its blend of theory and practical drills. I finally understand how to configure ROS‑based autonomous drill rigs, and the live demo where we programmed a drone to map a pit in real time was mind‑blowing. The course materials were top‑notch – crisp slides, interactive quizzes, and plenty of industry‑sourced videos. Thanks to this course I’ve already been asked to lead a pilot automation project at my company, and I feel completely prepared.

ZD
Zanele Dlamini
ZA · Course completed

The Mining Automation course offered a detailed and methodical approach to modern mining technologies. Each module built upon the previous one, guiding me from basic concepts of sensor networks to advanced algorithms for predictive maintenance of haul trucks. The practical assignments, such as developing a PLC ladder logic for an automated loading system, gave me concrete skills that I have already implemented on the mine floor, reducing cycle time by 12%. The lecture notes were comprehensive, and the supplementary research papers kept the content current. While the pacing was intense, the depth of knowledge gained makes it a worthwhile investment for anyone serious about automation in mining.





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Recently updated!

May 2026