Postgraduate Diploma in OT/IT Data Integration and Pipelines
Online 800 h Postgraduate Diploma in OT/IT Data Integration and Pipelines. 8 modules covering IEC 62443 (industrial cybersecurity), IEC 62541 (OPC UA) and Apache Kafka. Assigned tutor and open enrolment.
Postgraduate Diploma in OT/IT Data Integration and Pipelines — studying from the United Kingdom
Energy engineering in the United Kingdom spans offshore wind, nuclear, gas, grid infrastructure and energy storage, with regional hubs in Aberdeen, Teesside, Humberside and the South West. The transition to net zero drives investment in transmission and distribution networks, renewable generation and digital grid management. Operators such as National Grid, SSE and Scottish Power employ engineers in planning, operations and asset management. The energy regulator Ofgem and the National Energy System Operator shape market rules and system planning.
Fees for the United Kingdom: £910 (Pound sterling), with instalments and employer sponsorship available.
Relevant bodies in the United Kingdom
Typical roles
Questions from the United Kingdom
Which UK bodies are relevant to energy and networks engineering qualifications?
In the UK, the Institution of Engineering and Technology (IET) and the Energy Institute are the main professional bodies for energy and networks, and the Engineering Council handles chartered registration. Regulation of the sector is by Ofgem and the National Energy System Operator. SEIUM's qualifications are private and not accredited by these bodies, so recognition is for the relevant body and employers to decide.
Do UK energy and network operators value private online qualifications?
UK energy utilities, network operators and grid contractors typically hire on the basis of competence, safety training, professional registration and project experience. A private qualification may support your profile, but its relevance is decided by each employer. Demonstrated practical work and progress towards professional registration usually matter most.
How does online study fit a UK working life, and what about funding?
Programmes are fully online, so you can study around your UK job and no student visa is needed to study from home. Teaching is in English, and an assigned technical tutor supports your progress. Fees are payable in instalments, and some employers sponsor job-related training, which varies by employer. Check the programme hours and funding options before enrolling.
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
Design integration architectures between OT and IT systems.
Select appropriate industrial communication protocols and standards.
Implement field data ingestion mechanisms.
Model and store operational time series data.
Orchestrate data processing pipelines.
Apply cybersecurity measures in OT environments.
Establish a governance and operation model for industrial data.
Who it's for
- Industrial data engineer looking to specialise in OT/IT Data Integration and Pipelines.
- OT/IT integration architect looking to specialise in OT/IT Data Integration and Pipelines.
- OT cybersecurity engineer looking to specialise in OT/IT Data Integration and Pipelines.
- SCADA systems engineer looking to specialise in OT/IT Data Integration and Pipelines.
- IIoT specialist looking to specialise in OT/IT Data Integration and Pipelines.
- Data governance lead looking to specialise in OT/IT Data Integration and Pipelines.
- Engineering or science graduates looking to enter the electricity utilities sector.
What you'll work with
- IEC 62443 (industrial cybersecurity)
- IEC 62541 (OPC UA)
- IEC 62264 (ISA-95, enterprise-control integration)
- IEC 61850 (substation communications)
- IEC 60870-5-104 (telecontrol)
- ISO/IEC 20922 (MQTT)
- Directive (EU) 2022/2555 (NIS2)
8 modules · 800 h
1.1Differences between operational technology and information technology1.2Purdue model and ISA-951.3SCADA, DMS and EMS systems1.4Process historians1.5Corporate systems: ERP, GIS and CRM1.6OT/IT convergence and its challenges1.7Latency and availability requirements1.8Cloud and edge architectures1.9Integration use cases in utilities1.10Workshop: OT/IT systems map of a distribution company
2.1IEC 61850 and substation data model2.2IEC 60870-5-104 and DNP32.3Modbus and field protocols2.4OPC UA and its information model2.5MQTT and publish-subscribe communication2.6CIM model IEC 61970 and IEC 619682.7IEC 61968-100 messaging2.8Smart metering: DLMS/COSEM2.9Data semantics and ontologies2.10Practical: reading OPC UA data from a test server
3.1Batch and streaming ingestion patterns3.2Apache Kafka as an event bus3.3Connectors and change data capture (CDC)3.4High-frequency time series ingestion3.5Timestamp management and synchronisation3.6Compression and sampling3.7Data quality at source and validation3.8Schema management3.9Fault tolerance and retries3.10Laboratory: ingestion pipeline with Kafka and MQTT
4.1Time series databases4.2Data lake and lakehouse4.3Parquet and Delta formats4.4Dimensional data modelling4.5Data catalogue and lineage4.6Partitioning and performance4.7Retention and archiving4.8Integration with the CIM model4.9Storage costs4.10Practical: modelling meter data in a lakehouse
5.1ETL and ELT transformations5.2Orchestration with Apache Airflow5.3Stream processing with Spark and Flink5.4Time windows and aggregations5.5Data quality pipelines5.6Pipeline testing5.7Observability and monitoring5.8Container deployment5.9Infrastructure as code5.10Laboratory: Airflow DAG for meter data
6.1Threats to electrical infrastructure6.2IEC 62443 series6.3IEC 62351 for electrical protocols6.4Network segmentation: zones and conduits6.5Data diodes and industrial DMZs6.6Identity and access management6.7NIS2 Directive in the energy sector6.8Intrusion detection in OT6.9Incident response6.10Case study: designing a DMZ for OT/IT integration
7.1Data governance and roles7.2Data quality: dimensions and metrics7.3Master data management7.4Privacy and GDPR for consumer data7.5European energy data spaces7.6APIs and data services7.7Analytics and dashboards7.8AI use cases on integrated data7.9Data value indicators7.10Workshop: data quality policy for a DMS
8.1Defining the use case8.2Analysis of sources and protocols8.3Design of the integration architecture8.4Implementation of the ingestion pipeline8.5Data modelling and storage8.6Security and governance8.7Testing and monitoring8.8Deployment plan8.9Report and presentation8.10Final review with the tutor
How you'll learn
Training 100 % online on the SEIUM campus, with downloadable material, recorded classes and assigned technical tutor. No fixed timetables: the student progresses at their own pace within the intake, which allows it to be combined with work.
Each module combines theory, guided reading of the original standard and applied exercises. The working software is Apache Kafka, Node-RED, Python (pandas), Apache Airflow, InfluxDB, in free, academic or evaluation versions. Tests are studied using real procedures from OT/IT integration laboratories, construction of data pipelines and OT cybersecurity audits. 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.
Design integration architectures between OT and IT systems.
Select appropriate industrial communication protocols and standards.
Implement field data ingestion mechanisms.
Model and store operational time series data.
Orchestrate data processing pipelines.
Where this takes you
Requirements
- Prior technical training or professional experience in the sector. No university degree is required.
- Internet connection and a computer capable of running the programme's software.
- Sufficient English 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 consists of 800 hours in total, 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 Apache Kafka, Node-RED, Python (pandas), Apache Airflow and InfluxDB. Free, academic or evaluation versions are used, and the tutor indicates the free alternative where one exists.
An in-house diploma from SEIUM Institute upon passing the continuous assessment and the integrating project. It is in-house training, not an official qualification issued by the Ministry.
Yes. Modules passed in a Course or Postgraduate Diploma in the same area are recognised in the higher programme. Consult the recognition policy at enrolment.
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