Diploma in Technical Storytelling and Dashboard Design
Online postgraduate diploma of 800 hours in technical storytelling and dashboard design, with 8 modules covering visual perception and narrative, the grammar of graphics, colour, typography and accessibility, dashboard design, BI tool implementation, communicating technical results and dashboard governance and adoption, with an assigned technical tutor.
Diploma in Technical Storytelling and Dashboard Design — studying from Australia
Data, artificial intelligence and simulation are central to Australian industries including mining, banking, health, agriculture and government. Organisations use machine learning, digital twins and advanced analytics to improve productivity, asset performance and decision making. National science agency CSIRO, along with universities and a growing start-up ecosystem, drives research and applied innovation. Australia has also developed national AI ethics principles, making responsible design an important professional consideration. Engineers in this area typically work for technology firms, consultancies, research organisations and large enterprises.
Fees for Australia: A$2,850 (AUD), with instalments and employer sponsorship available.
Relevant bodies in Australia
Typical roles
Questions from Australia
Which Australian bodies recognise data and AI engineering skills?
Engineers Australia and the Australian Computer Society (ACS) are the main professional bodies, and the ACS runs a skills assessment for migration purposes. SEIUM's private qualifications are not accredited by either. Whether a private qualification is valued is decided by the employer or the relevant body.
What data and AI careers exist in Australia for this training?
Australia has demand for data scientists, AI engineers and simulation analysts across finance, health, mining, government and technology firms. Employers mainly assess your portfolio, technical skills and results. A SEIUM qualification may support your profile, but each employer decides its relevance.
Can I study this online from Australia while working?
Yes, the programmes are fully online and taught in English, and no student visa is needed to study from home. Specialist courses are 300 hours, postgraduate diplomas 800 and master's 1,900, with an assigned technical tutor and a final project. Fees can be paid in instalments, and employer sponsorship may be possible.
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
Apply visual perception principles to chart design.
Select the right chart type for each analytical question.
Design accessible dashboards in line with WCAG 2.2.
Structure technical results as decision-oriented narratives.
Implement dashboards in Power BI, Tableau and Python.
Evaluate dashboard usability with real users.
Govern a report portfolio using adoption metrics.
Who it's for
- Dashboard designers.
- Business intelligence analysts.
- Data storytellers presenting results to decision-makers.
- Data visualisation consultants.
- Industrial data analysts.
- Reporting leads managing report portfolios.
- Engineering or science graduates aiming to enter industry and manufacturing.
What you'll work with
- W3C WCAG 2.2 (web content accessibility guidelines)
- EN 301 549 (accessibility requirements for ICT products and services)
- ISO 9241-210:2019 (human-centred design)
- ISO 9241-11:2018 (usability: definitions and concepts)
- ISO 9241-112:2017 (principles for the presentation of information)
- Royal Decree 1112/2018 (accessibility of public sector websites in Spain)
- Power BI
- Tableau
- Figma
- Plotly Dash
- Apache Superset
8 modules
1.1Pre-attentive attributes and visual hierarchy1.2Gestalt principles applied to charts1.3Cognitive load and working memory1.4Narrative structure: context, conflict and resolution1.5The Minto pyramid for technical messages1.6Technical versus executive audiences1.7From exploratory to explanatory analysis1.8Biases in chart interpretation1.9Ethics and honesty in visualisation1.10Workshop: rewriting a technical report as a story
2.1Wilkinson's grammar of graphics2.2Encoding by position, length and colour2.3Choosing the chart for the question2.4Time series, distributions and relationships2.5Small multiples and comparisons2.6Control charts and process capability2.7Maps and geospatial data2.8Common errors: truncated axes and dual axes2.9Annotations and titles that state the conclusion2.10Practical: redesigning five flawed charts
3.1Categorical, sequential and diverging palettes3.2Contrast and colour blindness3.3WCAG 2.2 requirements in dashboards3.4Typography and legibility of figures3.5White space and grid3.6Iconography and traffic lights3.7Light and dark mode3.8Corporate style guides3.9Validation with vision simulators3.10Lab: accessibility audit of a dashboard
4.1Types: strategic, tactical and operational4.2Business requirements and questions4.3KPI selection and metric hierarchy4.4Z layout and F reading pattern4.5Filters, slicers and drill-down4.6Information density and simplification4.7Wireframes and prototyping in Figma4.8Responsive design for mobile4.9Usability testing with users4.10Case study: industrial production dashboard
5.1Power BI: reports and custom themes5.2Tableau: dashboards and actions5.3Looker Studio and Apache Superset5.4Python visualisation with Plotly and Dash5.5Vega-Lite and declarative visualisation5.6Rich tooltips and drill-through pages5.7Visual performance and number of objects5.8Publishing and version control5.9Reusable templates and reports5.10Workshop: the same dashboard in Power BI and Tableau
6.1Decision-oriented presentations6.2Storyboards and slide sequences6.3Data comics and scrollytelling6.4Communicating uncertainty and intervals6.5Automated reports and narrative alerts6.6Text generation with language models6.7Oral presentation before committees6.8Handling difficult questions6.9Feedback and iterative improvement6.10Practical: five-minute presentation to a committee
7.1Report catalogue and certification7.2Consistent metric definitions7.3Dashboard usage and abandonment metrics7.4Rationalising duplicate reports7.5Training and data literacy7.6Power user community7.7Security and viewing permissions7.8Life cycle and retirement7.9Managing requests for new reports7.10Case study: rationalising a report portfolio
8.1Defining the audience and the decision8.2Data preparation and validation8.3Writing the narrative script8.4Wireframe and prototype8.5Implementation in a BI tool8.6Usability and accessibility testing8.7Rehearsing the executive presentation8.8Adjustments after feedback8.9Report and presentation8.10Final project: final 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. There are no fixed timetables: you progress at your own pace within each intake, so it can be combined with work.
Each module combines theory, guided reading of the original standard and applied exercises. The working software is Power BI, Tableau, Figma, Plotly Dash and Apache Superset, in free, academic or evaluation versions. Real procedures are studied: redesigning existing charts and dashboards, usability and accessibility testing with users, and presenting results to decision committees. Assessment is continuous by module plus the final integrative project.
Standards covered: W3C WCAG 2.2, EN 301 549, ISO 9241-210:2019, ISO 9241-11:2018, ISO 9241-112:2017, Royal Decree 1112/2018.
Build it end to end
Your final project follows the real engineering workflow, step by step, reviewed by your tutor.
Where this takes you
Requirements
- Prior technical training or professional experience in the sector. No university degree is required.
- An internet connection and a computer capable of running the programme's software.
- English sufficient to read technical standards.
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 over 6–8 months. You set your own pace within each intake, and your tutor helps you plan the workload around your job.
You work with Power BI, Tableau, Figma, Plotly Dash and Apache Superset, using free, academic or evaluation versions. Your tutor indicates the free alternative wherever one exists.
A SEIUM Institute diploma, awarded on passing the continuous assessment and the final project. It is SEIUM's own qualification, not an official state degree; its recognition depends on the programme completed and the regulations of each country.
Yes. Modules passed are recognised in a higher programme in the same area (postgraduate diploma or master's). Ask about the recognition policy when you enrol.
Prior technical training or professional experience in the sector (no university degree required), a computer able to run the software and English sufficient to read technical standards.
Start dates are set by SEIUM's faculty for each intake. Our admissions team will confirm the next available date when you apply.
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