Postgraduate Diploma in Telemetry, KPIs and AMR Operations Control
Online 800-hour Postgraduate Diploma in Telemetry, KPIs and AMR Operations Control. 8 modules covering ISO 22400-2:2014, VDA 5050 v2.1 and Grafana. Assigned tutor and enrolment open.
Postgraduate Diploma in Telemetry, KPIs and AMR Operations Control — studying from South Africa
Robotics and automation are growing in South African manufacturing, mining and logistics, where companies seek to improve productivity and safety. Automotive plants, food processors and mining operations use industrial robots, programmable logic controllers and process automation systems. Universities such as Stellenbosch and the University of Pretoria research robotics and control theory. Engineers in this field combine electrical, mechanical and software skills to design and integrate automated systems.
Fees for South Africa: R 20 400 (South African rand), with instalments and employer sponsorship available.
Relevant bodies in South Africa
Typical roles
Questions from South Africa
Will a SEIUM qualification be recognised by the professional bodies in South Africa for this area?
SEIUM qualifications are private, not official state degrees, and are not accredited by any South African body. Professional engineering registration in South Africa is through ECSA, which assesses accredited training and experience. Whether a private SEIUM qualification is recognised is decided by employers or the relevant body, so confirm acceptance before enrolling.
How might this qualification be used by employers in South Africa in robotics and automation?
Manufacturing, mining, logistics and automation integrators in South Africa often value applied skills in control systems, programming and integration. A private qualification may support your CV, particularly with practical projects, but it is not state-recognised. Its value depends on each employer's view, so ask potential employers how they would assess it.
Can I study this programme alongside full-time work from South Africa, and is there a time zone or language issue?
Yes, the programme is 100% online and taught in English, so you can study from South Africa without a student visa. Master's programmes require 1,900 hours, postgraduate diplomas 800 hours and specialist courses 300 hours, with an assigned technical tutor. Fees can be paid in instalments and employer sponsorship is possible. Check time-zone and workload expectations with SEIUM directly.
Take the controls.
Run a real engineering trade-off from this field. Move the sliders, watch the model react in real time and beat the challenge.
What you will be able to do
Identify the relevant operational data of an AMR fleet.
Design scalable telemetry architectures.
Define availability, utilisation and performance KPIs.
Build dashboards for different profiles.
Organise an operations control centre.
Apply analytics to predictive maintenance.
Drive continuous improvement based on data.
Who it's for
- Robotics operations analyst looking to specialise in Telemetry, KPIs and AMR Operations Control.
- Control centre supervisor looking to specialise in Telemetry, KPIs and AMR Operations Control.
- Industrial data engineer looking to specialise in Telemetry, KPIs and AMR Operations Control.
- AMR fleet manager looking to specialise in Telemetry, KPIs and AMR Operations Control.
- Predictive maintenance engineer looking to specialise in Telemetry, KPIs and AMR Operations Control.
- Continuous improvement engineer looking to specialise in Telemetry, KPIs and AMR Operations Control.
- Engineering or science graduates seeking to enter logistics.
What you'll work with
- ISO 22400-2:2014
- VDA 5050 v2.1
- ISO 3691-4:2023
- EN 13306:2017
- IEC 62443-3-3:2013
- Regulation (EU) 2016/679 (GDPR)
8 modules · 800 h
1.1Data sources on a mobile robot1.2Status, position and battery1.3Events, alarms and faults1.4Mission data and timings1.5Sensor and motor diagnostics1.6Sampling frequencies and volume1.7Message formats and schemas1.8Data quality and completeness1.9Privacy and personal data1.10Workshop: data inventory of an AMR fleet
2.1Data collection on the robot with agents2.2Transport with MQTT and DDS2.3Telemetry in ROS 22.4OpenTelemetry for metrics and traces2.5Time-series databases2.6InfluxDB and TimescaleDB2.7Edge buffering during disconnections2.8Data retention and aggregation2.9Scalability for large fleets2.10Practical: telemetry pipeline with MQTT and InfluxDB
3.1Technical and operational availability3.2Utilisation and productive time3.3Missions per hour and throughput3.4Mean mission time3.5MTBF and MTTR of robots3.6Manual interventions per mission3.7Distance travelled and efficiency3.8Fleet energy KPIs3.9KPI trees and targets3.10Case study: KPI dashboard for a logistics centre
4.1Dashboard design principles4.2Grafana for operations4.3Real-time fleet maps4.4Traffic and blockage heat maps4.5Alerts and thresholds4.6Dashboards for operator, supervisor and management4.7Automatic shift reports4.8Accessibility and visual clarity4.9Query performance4.10Laboratory: fleet dashboard in Grafana
5.1Functions of a control centre5.2Remote robot supervision5.3Intervention and teleoperation5.4Incident and ticket management5.5Standard operating procedures5.6Shifts and incident escalation5.7Communication with the plant5.8Mission exception management5.9Logging and traceability5.10Practical: procedure for managing a blockage
6.1Root cause analysis of stoppages6.2Pareto analysis of fleet errors6.3Anomaly detection6.4Predicting component failures6.5Battery health6.6Condition-based maintenance of robots6.7Trend analysis6.8Models with Python and scikit-learn6.9Validation of predictive models6.10Case study: predicting drive wheel failures
7.1PDCA cycle applied to fleets7.2Periodic KPI review7.3Route and zone adjustments7.4Battery charging optimisation7.5Comparison between shifts and centres7.6Benchmarking between fleets7.7SLA management with suppliers7.8Reporting to management7.9Data-driven culture7.10Laboratory: analysis of improvement after a layout change
8.1Operations analysis8.2Data architecture design8.3KPI definition8.4Telemetry pipeline8.5Dashboards8.6Control centre procedures8.7Predictive maintenance model8.8Continuous improvement plan8.9Report and presentation8.10Final review with the tutor
How you'll learn
100 % online training on the SEIUM campus, with downloadable material, recorded classes and an assigned technical tutor. No fixed timetable: students progress at their own pace within the intake, which makes it possible to combine study with work.
Each module combines theory, guided reading of the original standard and applied exercises. The working software is Grafana, InfluxDB, OpenTelemetry, Eclipse Mosquitto, Python with pandas, in free, academic or evaluation versions. The trials are based on real procedures for analysing fleet availability and utilisation, detecting anomalies in robot data and managing incidents in a control centre. Assessment is continuous per module, plus the final integrating project.
Build it end to end
Your final project follows the real engineering workflow, step by step, reviewed by your tutor.
Identify the relevant operational data of an AMR fleet.
Design scalable telemetry architectures.
Define availability, utilisation and performance KPIs.
Build dashboards for different profiles.
Organise an operations control centre.
Where this takes you
Requirements
- Prior technical training or professional experience in the sector. A university degree is not required.
- Internet connection and a computer capable of running the programme's software.
- Sufficient level of Spanish to follow technical regulatory texts.
Ready to start?
Send your application today. Our admissions team replies within 72 hours with your study plan and funding options.
Frequently asked questions
The programme totals 800 hours, spread over 6 to 8 months. That is between 10 and 15 hours a week on average, compatible with a full-time job.
You work with Grafana, InfluxDB, OpenTelemetry, Eclipse Mosquitto, Python with pandas. Free, academic or evaluation versions are used, and the tutor indicates the open-source alternative where one exists.
A SEIUM own diploma on passing the continuous assessment and the final integrating project. It is in-house training, not an official qualification from the Ministry.
Yes. Modules passed in a course or postgraduate diploma in the same area are recognised towards the higher programme. Check the credit recognition policy when you enrol.
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