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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

Everything you need to know before you start

Straight answers — no waiting on a reply. Most learners are enrolled within 60 seconds of finding what they need below.

60 sec
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Self-paced
Learn on your time
Certificate
Included in fee

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
Ready when you are
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Self-paced · Certificate included · 24/7 access · 60-second start.
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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
Open enrolment · Start today

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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 meticulously aligned with my goal of mastering autonomous drilling technologies. I especially appreciated the hands‑on lab where we programmed PLCs to control a simulated underground loader – a skill I have already applied at my current role in a UK mining firm. The lecture materials were up‑to‑date, featuring case studies from recent European projects, which made the theory immediately relevant. Overall, the learning experience was professional and enriching, and I feel fully equipped to lead automation initiatives.

JR
Jessica Rivera
US · Course completed

I took the Mining Automation class because I wanted to add some tech chops to my mining engineering background. The course was super practical – the module on sensor fusion for ore‑body mapping gave me a solid workflow I now use on the job in Nevada. The video tutorials were clear and the downloadable PDFs were well‑organized, making it easy to review after class. I liked the casual vibe of the discussion forums, which helped me connect with peers across the US. All in all, a solid learning experience that boosted my confidence in applying automation on site.

JV
Johan van der Berg
ZA · Course completed

As a mining manager in South Africa, I was looking for a course that could bridge the gap between traditional practices and modern automation. Stanmore's Mining Automation program delivered exactly that. The segment on autonomous haulage systems was eye‑opening – I built a simulation model that I later presented to my board, leading to the pilot of a driverless truck fleet at our mine. The course materials were comprehensive, with detailed schematics and real‑world data sets that felt directly applicable to African mining contexts. The instructors were responsive, and the overall experience was both detailed and highly valuable.

HR
Hassan Rahman
AE · Course completed

I was excited to enroll in Mining Automation to help my company in the UAE adopt smarter operations. The course was incredibly enthusiastic and engaging – the live demos of AI‑driven ore‑grade prediction were a highlight. I walked away with the ability to set up a cloud‑based monitoring dashboard, which we’ve already integrated into our pilot project at a regional mine. The reading list included cutting‑edge research from the Middle East, and the supportive community kept the momentum going. It was a rewarding experience that gave me practical tools to drive automation forward.





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Recently updated!

May 2026