Programme · D-21 · Authorised Pearson Partner

Industrial Data Analytics

Factories produce terabytes of data. This programme teaches you to collect, clean, analyse and visualise industrial data to drive better manufacturing decisions.

5–6 mo
Duration
Graduate
Entry level
On-campus
Format
Pearson
Standard
Industry overview

About this field

Industrial data analytics bridges OT (sensor data from machines) and IT (dashboards, databases and BI tools). This programme covers data pipelines from PLCs and SCADA systems, time-series databases, Python for industrial data analysis, statistical methods and real-time dashboards. You'll learn to turn raw machine signals into actionable insights for operations, quality and maintenance teams.

Career pathways

Roles you'll be ready for

Data Analyst (Manufacturing)Collects, cleans and analyses production data, builds reports and dashboards for operational decision-making.
OT Data EngineerBuilds data pipelines from shop-floor systems (PLC, SCADA) to databases and analytics platforms.
Dashboard / BI DeveloperDesigns and maintains real-time dashboards showing production, quality and maintenance KPIs.
Process Data Scientist (Junior)Applies statistical methods and basic ML to manufacturing data — anomaly detection, clustering and forecasting.
Skills you'll build

What you'll be able to do

01Data collection from PLC, SCADA and IoT systems02Time-series databases (InfluxDB, TimescaleDB)03Python for data analysis (pandas, NumPy)04Data cleaning and preprocessing05Statistical analysis and correlation06Dashboard development (Grafana, Power BI)07SQL for manufacturing data08Data governance and documentation
Hands-on projects

Real builds, not slideware

PRJ-01
Production Data Pipeline

Build a pipeline from a simulated PLC to InfluxDB, then visualise OEE, cycle time and reject rate on a Grafana dashboard.

PRJ-02
Scrap Root Cause Analysis

Analyse a dataset of 10,000 production records using Python to identify which process parameters most strongly correlate with scrap.

PRJ-03
Downtime Tracker

Create an automated downtime tracker that logs machine stop reasons, duration and frequency, with a Pareto chart dashboard.

Equipment & software

You'll work on the real thing

Equipment

Data acquisition modulesSensor rigs for data collectionEdge gateway for preprocessingPC workstations with PythonNetwork-connected PLC simulator

Software

Python (pandas, NumPy, matplotlib)Grafana dashboardsInfluxDB / TimescaleDBSQL databasesJupyter notebooks

* Specific brands and software listed per actual lab inventory.

Certification

Recognised, competency-based

Finish the programme and you get a Veritas by IQgrads certification, with your learning aligned to Pearson's internationally recognised standards — real proof of what you can do.

* Confirm exact certification and Pearson wording before publishing.

Fees & payment

Pay half now — the rest when it pays off

PDelivered to globally recognised Pearson standards
Total programme fee*₹1,30,000
Stage 1 · 50%
₹65,000
At enrolment

Paid upfront to secure your place.

Stage 2 · 50%
₹65,000
On offer or certification

Paid upon job offer or certification completion.

* Illustrative. Scholarships and financing available — confirm exact fees in your consultation.

After Veritas · study abroad

A springboard to a Master's degree in Europe

For a lot of people, Veritas is just step one. The hands-on, globally-recognised experience makes your profile stronger if you want to study abroad later — and these happen to be the exact skills European employers are short on.

Primary pathway
A Master's degree abroad — Europe in focus

Automation, robotics, semiconductors, EV, Industry 4.0 — these skills are in real demand across Europe right now.

GermanyNetherlandsIrelandNordicsWider EU
ALSO
Global-standard foundation

Pearson-aligned learning that complements an international application.*

ALSO
Stack a specialisation

Add advanced tracks before applying abroad.

ALSO
Professional certifications

Industry certifications that travel internationally.

* Study-abroad outcomes depend on admissions, language, funding and visas, which Veritas does not control. Confirm guidance and any partnerships, and verify demand claims, before publishing.

Hiring industries

Who hires for these skills

AutomotivePharmaceuticalsFMCGEnergySupply chainElectronicsProcess industries

Indicative sectors hiring for these skills — verify before publishing.

Authorised Pearson Partner
Programme · D-21

Industrial Data Analytics

Duration5–6 mo
Entry levelGraduate
FormatOn-campus
StandardPearson
Apply now

Free consultation first — no commitment to apply.

Indicative salaries

Entry (0–2 yr)₹3.5–6 LPA
Mid (3–5 yr)₹7–12 LPA
Senior (5+ yr)₹14–24 LPA

Indicative — verify before publishing.

Ready to start?

Industrial Data Analytics — book a free consultation.

Talk to a counsellor about whether this programme is right for you.

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