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Master Certificate in Connected Car Data Analytics

Four certificates in this programme

  • Global Certificate in Connected Car Data Analytics (Foundation) Foundation certificate
  • Global Certificate in Connected Car Data Analytics (Intermediate) Intermediate certificate
  • Global Certificate in Connected Car Data Analytics (Higher) Higher certificate
  • Master Certificate in Connected Car Data Analytics Awarded on completing all three stages
Gain expertise analyzing vehicle telemetry, enabling predictive insights, safety enhancements, and intelligent services in the rapidly evolving connected car industry
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Overview

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Learning outcomes

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Programme structure

1 Stage 1 · Foundation Global Certificate in Connected Car Data Analytics (Foundation) 10 units

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2 Stage 2 · Intermediate Global Certificate in Connected Car Data Analytics (Intermediate) 15 units

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3 Stage 3 · Higher Global Certificate in Connected Car Data Analytics (Higher) 20 units

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4 certificates in one programme. Earn a certificate for each completed stage — and on finishing all three, receive the overarching Master Certificate, exclusive to this programme.

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Why this course

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Everything you need to know before you start

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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 Master Certificate in Connected Car Data Analytics exceeded my expectations. The curriculum aligned perfectly with my goal to transition into automotive data science, and the modules on real‑time telemetry processing gave me hands‑on experience with CAN‑bus data extraction. I particularly appreciated the case studies from leading OEMs, which demonstrated how to build predictive maintenance models using Python and Azure Stream Analytics. The course materials were up‑to‑date, with clear video lectures and downloadable Jupyter notebooks that I could apply directly to my current project at a UK‑based fleet operator. Overall, the learning experience was professional and highly rewarding – I feel fully equipped to deliver data‑driven solutions in the connected car sector.

JR
Jessica Rivera
US · Course completed

I took this course because I wanted to get a solid handle on the data side of connected vehicles. The content was spot‑on for my learning goals – the deep‑dive into vehicle sensor fusion and the hands‑on labs where we used Power BI to visualise fleet data were super useful. I especially liked the practical exercises on building a simple driver‑behaviour scoring system; I could actually run the code on my own laptop and see the results instantly. The materials were clear and the instructors were quick to answer questions in the forum. All in all, a great experience that gave me real skills I can use at my job in the US automotive industry.

AP
Ananya Patel
IN · Course completed

Wow! This course was exactly what I needed to boost my career in automotive analytics. The modules on edge computing and MQTT data pipelines helped me achieve my goal of designing low‑latency data ingestion for connected cars. I built a prototype using Raspberry Pi and got to test a real‑time dashboard that monitors vehicle health – a project I presented to my manager, who was impressed. The course materials were top‑notch, with well‑structured slides, up‑to‑date reference articles, and coding exercises that matched industry standards. My learning journey was enthusiastic and engaging, and I’m thrilled with the certification and the doors it has opened for me in India’s growing EV market.

ZD
Zanele Dlamini
ZA · Course completed

I approached the Master Certificate in Connected Car Data Analytics with a detailed plan to master data pipelines for smart mobility solutions in South Africa. The curriculum delivered on every front – the segment on data governance taught me how to implement GDPR‑like compliance for vehicle data, and the practical labs on Spark Structured Streaming gave me the ability to process high‑volume telemetry streams efficiently. The provided datasets, sourced from real‑world fleet operators, were highly relevant and allowed me to practice building churn prediction models that are now part of my consultancy portfolio. The overall experience was thorough and well‑organized, leaving me satisfied with the depth of knowledge I gained.





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May 2026