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CourseNuclear Engineering & Nuclear Fuel Cycle Technologies Applications open

Advanced Nuclear Data Visualisation Course

Online 300 h course in advanced nuclear data visualisation. 6 modules covering NUREG-0700 (human-system interface guidelines), IEC 60964 (control room design for nuclear power plants) and ParaView. Dedicated tutor and open enrolment.

Duration300 h
ModeOnline
Start datesSet by the faculty
AwardSEIUM Institute certificate
Enrol now View syllabus Ask an advisor

Advanced Nuclear Data Visualisation Course — studying from United Kingdom

The United Kingdom has a long history in nuclear engineering and maintains a substantial sector spanning reactor operation, decommissioning, fuel cycle and new build projects. Sites at Sellafield, Hinkley Point, Dounreay and Harwell host work on fuel cycle, waste management and advanced reactor technology. Organisations such as the Nuclear Decommissioning Authority, EDF, Rolls-Royce SMR and Urenco UK employ engineers in design, safety and operations. Nuclear activities are overseen by the Office for Nuclear Regulation, which sets strict safety and security requirements.

Fees for United Kingdom: 470 £ (Pound sterling), with instalments and employer sponsorship available.

Relevant bodies in United Kingdom

  • Office for Nuclear Regulation (ONR)
  • Nuclear Decommissioning Authority (NDA)
  • Nuclear Institute
  • Institution of Mechanical Engineers (IMechE)

Typical roles

  • Nuclear Engineer
  • Fuel Cycle Engineer
  • Decommissioning Engineer
  • Nuclear Safety Engineer

Questions from United Kingdom

Is English a requirement?

All programmes are taught in English. Admissions requirements are set out on each programme page, and the admissions team can advise on whether your experience and language background meet them.

Are SEIUM qualifications recognised by UK universities or the Engineering Council?

SEIUM qualifications are private qualifications awarded by SEIUM Institute. They are not official state degrees. Professional registration, such as Chartered Engineer status, is decided by the Engineering Council and the licensed professional institutions, and the value of private study is assessed case by case by employers and those bodies.

Virtual lab · try it before you enrol

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Learning outcomes

What you will be able to do

01

Apply principles of visual perception to complex technical data.

02

Visualise three-dimensional simulation fields with ParaView and VisIt.

03

Represent evaluated nuclear data and cross sections.

04

Design dashboards for monitoring plant parameters.

05

Apply control room ergonomics criteria to interfaces.

06

Communicate uncertainties visually.

07

Develop a visualisation project with open nuclear data.

Profile

Who it's for

  • Nuclear data analyst who wants to specialise in Advanced Nuclear Data Visualisation.
  • Scientific visualisation engineer who wants to specialise in Advanced Nuclear Data Visualisation.
  • Dashboard developer who wants to specialise in Advanced Nuclear Data Visualisation.
  • Human factors engineer who wants to specialise in Advanced Nuclear Data Visualisation.
  • Nuclear simulation engineer who wants to specialise in Advanced Nuclear Data Visualisation.
  • Energy data scientist who wants to specialise in Advanced Nuclear Data Visualisation.
  • Graduates in engineering or science seeking to enter the nuclear industry.
Standards & tools

What you'll work with

  • NUREG-0700 (human-system interface guidelines)
  • IEC 60964 (control room design for nuclear power plants)
  • ISO 11064 (ergonomic design of control centres)
  • ISO 9241-210 (human-centred design)
  • ENDF-6 (evaluated nuclear data format)
  • IEC 61772 (displays in control rooms)
Syllabus

6 modules · 300 h

  1. 1.1Data types: neutronics, thermal-hydraulics and radiological
  2. 1.2Structured and unstructured meshes
  3. 1.3HDF5, VTK and Exodus formats
  4. 1.4ENDF nuclear data libraries and their structure
  5. 1.5Plant data and time series
  6. 1.6Metadata and traceability of results
  7. 1.7Data volume of coupled simulations
  8. 1.8Data quality and outliers
  9. 1.9Principles of visual perception
  10. 1.10Practice: reading OpenMC results in HDF5
  1. 2.1VTK visualisation pipeline
  2. 2.2ParaView: filters and batch processing
  3. 2.3VisIt for large parallel meshes
  4. 2.4Isosurfaces and slices of flux distributions
  5. 2.5Volume rendering of power density
  6. 2.6Vectors, streamlines and particles
  7. 2.7Perceptually uniform colour maps
  8. 2.8CSG geometry of cores and its representation
  9. 2.9In situ visualisation with Catalyst
  10. 2.10Laboratory: core power distribution in ParaView
  1. 3.1Matplotlib and Plotly for nuclear results
  2. 3.2Energy spectra on a logarithmic scale
  3. 3.3Cross sections and resonances
  4. 3.4Burn-up curves and isotopic evolution
  5. 3.5Core maps by fuel element
  6. 3.6Representation of uncertainties and bands
  7. 3.7Sensitivities and tornado diagrams
  8. 3.8Random sampling scatter plots
  9. 3.9Common errors in technical charts
  10. 3.10Workshop: power map by fuel element
  1. 4.1Process variables and acquisition systems
  2. 4.2Dashboards with Grafana and Dash
  3. 4.3Visualisation of alarms and trends
  4. 4.4Control room interface design
  5. 4.5NUREG-0700 human factors guidelines
  6. 4.6Plant dose maps
  7. 4.7Operational performance indicators
  8. 4.8Visualisation of radiological surveillance data
  9. 4.9Information security in panels
  10. 4.10Case study: dashboard for a refuelling outage
  1. 5.1Virtual reality for design review
  2. 5.2Digital twins and real-time visualisation
  3. 5.3Dimensionality reduction: PCA and t-SNE
  4. 5.4Visualisation of machine learning data
  5. 5.5Visualisation of uncertainty fields
  6. 5.6Animation of thermal-hydraulic transients
  7. 5.7Web visualisation with Three.js and VTK.js
  8. 5.8Performance with large data volumes
  9. 5.9Accessibility and use of colour
  10. 5.10Practice: animating a loss-of-flow transient
  1. 6.1Selection of the dataset
  2. 6.2Analysis of the questions to be answered
  3. 6.3Design of the processing workflow
  4. 6.4Choice of visualisation techniques
  5. 6.5Implementation of charts and 3D views
  6. 6.6Integration into an interactive dashboard
  7. 6.7User evaluation
  8. 6.8Documentation of the reproducible workflow
  9. 6.9Report and presentation
  10. 6.10Final review with the tutor
Methodology, software & labs

How you'll learn

Fully 100 % online training on the SEIUM campus, with downloadable material, recorded classes and an assigned technical tutor. No fixed timetables: students progress at their own pace within the intake, which makes it compatible with work.

Each module combines theory, guided reading of the original standard and applied exercises. The working software is ParaView, VisIt, Python (Matplotlib, Plotly), Power BI, JANIS (NEA), in free, academic or evaluation versions. Tests are studied using real procedures for visualising neutronic simulation results, plant data dashboards and interface usability assessment. Assessment is continuous, module by module, plus the final integrative project.

Accreditable laboratories(EN ISO/IEC 17025) with a rotor test rig, EMC/Lightning pre-compliance, HIL/SIL, vibration/acoustics.
Evidence-oriented Master's Thesis:safety case, test plan, compliance dossier and operational limits.
Industry-mentored:teaching staff with experience in training, , eVTOL/UAM and flight test.
Flexible format(hybrid/online), international cohorts and support from SEIUM Career Services.
Ethics and safety:a safety-by-design approach, OT cyber, DIH and compliance as pillars.
Capstone project

Build it end to end

Your final project follows the real engineering workflow, step by step, reviewed by your tutor.

Selection of the dataset

Apply principles of visual perception to complex technical data.

Analysis of the questions to be answered

Visualise three-dimensional simulation fields with ParaView and VisIt.

Design of the processing workflow

Represent evaluated nuclear data and cross sections.

Choice of visualisation techniques

Design dashboards for monitoring plant parameters.

Implementation of charts and 3D views

Apply control room ergonomics criteria to interfaces.

Career opportunities

Where this takes you

Nuclear data analystScientific visualisation engineerDashboard developerHuman factors engineerNuclear simulation engineerEnergy data scientist
Admissions & scholarships

Requirements

  • No prior degree is required.
  • Internet connection and a computer capable of running the programme's software.
  • Sufficient Spanish to follow technical regulatory reading.

Ready to start?

Send your application today. Our admissions team replies within 72 hours with your study plan and funding options.

Apply now Scholarships
FAQ

Frequently asked questions

The programme is 300 hours in total, spread over 3 to 5 months. That is an average of 10 to 15 hours a week, compatible with a full-time job.

You work with ParaView, VisIt, Python (Matplotlib, Plotly), Power BI, JANIS (NEA). Free, academic or evaluation versions are used, and the tutor indicates the free alternative where one exists.

An SEIUM own diploma upon passing the continuous assessment and the integrative project. It is in-house training, not an official Ministry qualification.

Yes. Modules passed in a course or postgraduate diploma in the same area are recognised towards the advanced programme. Check the recognition policy when you enrol.

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