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Postgraduate DiplomaDesign, HMI & Product Applications open

Diploma in UX Instrumentation and Product Metrics

Online postgraduate diploma of 800 hours in UX instrumentation and product metrics, structured in 8 modules covering product metrics, tracking plans, technical implementation, privacy and consent, UX metrics, data modelling and dashboards with the GDPR, the ePrivacy Directive and Google Analytics 4, with an assigned technical tutor.

Duration6–8 months
ModeOnline
LanguageEnglish
Start datesSet by the faculty
AwardSEIUM Institute diploma
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Learning outcomes

What you will be able to do

01

Define product metric systems aligned with strategy.

02

Design tracking plans with consistent taxonomies.

03

Implement instrumentation on web, mobile and HMI.

04

Ensure compliance with privacy and consent requirements.

05

Measure user experience with behavioural and attitudinal metrics.

06

Model event data for analysis.

07

Communicate metrics through actionable dashboards.

Profile

Who it's for

  • Product analysts who want to own metrics from definition to dashboard.
  • Analytics engineers implementing tracking and data models.
  • Quantitative UX researchers measuring experience at scale.
  • Digital product managers making data-informed decisions.
  • Data privacy specialists working alongside product and analytics teams.
  • Experience data analysts in digital and mobility products.
  • Engineering or science graduates seeking to enter digital product teams.
Standards & tools

What you'll work with

  • Regulation (EU) 2016/679 (General Data Protection Regulation)
  • Directive 2002/58/EC (ePrivacy Directive)
  • Organic Law 3/2018 (Spanish data protection and digital rights law)
  • ISO/IEC 25012 (data quality model)
  • ISO 9241-11 (usability definitions and concepts)
  • ISO/IEC 25010 (systems and software quality models)
  • ISO/IEC 27701 (privacy information management)
  • Google Analytics 4
  • Amplitude
  • Mixpanel
  • Segment
  • dbt
Syllabus

8 modules

  1. 1.1Business metrics versus experience metrics
  2. 1.2The product's North Star metric
  3. 1.3Google's HEART framework
  4. 1.4AARRR growth metrics
  5. 1.5Leading and lagging indicators
  6. 1.6Vanity metrics and their risks
  7. 1.7Metrics tree
  8. 1.8Operational definition of metrics
  9. 1.9Alignment with OKRs
  10. 1.10Workshop: metrics tree for a mobility app
  1. 2.1Tracking plan and taxonomy
  2. 2.2Events, properties and users
  3. 2.3Naming conventions
  4. 2.4User identity and unification
  5. 2.5Client-side and server-side instrumentation
  6. 2.6Analytics SDKs
  7. 2.7Governance of the tracking plan
  8. 2.8Event validation
  9. 2.9Event catalogue and documentation
  10. 2.10Practical: tracking plan for a booking flow
  1. 3.1Data layer and tag manager
  2. 3.2Customer data platforms
  3. 3.3Events in Google Analytics 4
  4. 3.4Instrumentation with Mixpanel and Amplitude
  5. 3.5Instrumentation in mobile apps
  6. 3.6Instrumentation in vehicle HMI
  7. 3.7Offline capture and synchronisation
  8. 3.8Instrumentation testing
  9. 3.9Data quality at source
  10. 3.10Lab: implementing events in GA4
  1. 4.1GDPR and lawful bases
  2. 4.2ePrivacy Directive and cookies
  3. 4.3Consent management platforms
  4. 4.4Minimisation and pseudonymisation
  5. 4.5Cookieless analytics
  6. 4.6Data retention and erasure
  7. 4.7Data protection impact assessment
  8. 4.8International data transfers
  9. 4.9Vehicle data and privacy
  10. 4.10Case study: redesigning a consent notice
  1. 5.1Task success rate
  2. 5.2Time on task and errors
  3. 5.3SUS, UMUX and SEQ questionnaires
  4. 5.4Customer satisfaction (CSAT)
  5. 5.5Customer effort score
  6. 5.6Retention and engagement
  7. 5.7Conversion funnels
  8. 5.8Abandonment and friction points
  9. 5.9UX benchmarks
  10. 5.10Workshop: designing a UMUX-Lite questionnaire
  1. 6.1BigQuery and Snowflake data warehouses
  2. 6.2Event modelling with dbt
  3. 6.3SQL for product analysis
  4. 6.4Session and user tables
  5. 6.5Data quality and testing
  6. 6.6Data lineage
  7. 6.7Storage and query costs
  8. 6.8Data access and security
  9. 6.9Data catalogue
  10. 6.10Practical: dbt sessions model
  1. 7.1Designing product dashboards
  2. 7.2Looker Studio, Tableau and Metabase
  3. 7.3Metric alerts
  4. 7.4Weekly metric reviews
  5. 7.5Data storytelling
  6. 7.6Common interpretation errors
  7. 7.7Democratising data access
  8. 7.8Self-service analytics for teams
  9. 7.9Dashboard maintenance
  10. 7.10Case study: HEART dashboard for a product
  1. 8.1Selection of the digital product
  2. 8.2Definition of key metrics
  3. 8.3Event tracking plan
  4. 8.4Event implementation
  5. 8.5Privacy and consent
  6. 8.6Analytical data model
  7. 8.7Metrics dashboard
  8. 8.8Improvement recommendations
  9. 8.9Report and presentation
  10. 8.10Final project: final review with the tutor
Methodology, software & labs

How you'll learn

The programme is 100% online 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 fits around your job.

Each module combines theory, guided reading of the original standard and applied exercises. You work with Google Analytics 4, Amplitude, Mixpanel, Segment and dbt, in free, academic or evaluation versions. Exercises are based on real procedures: designing event tracking plans, implementing analytics in web and mobile apps and building experience metrics dashboards. Assessment is continuous by module, plus the final integrating project.

Standards covered: Regulation (EU) 2016/679, Directive 2002/58/EC, Organic Law 3/2018, ISO/IEC 25012, ISO 9241-11, ISO/IEC 25010, ISO/IEC 27701.

Assigned technical tutor:every module ends with a deliverable that your tutor marks individually.
Standards-based learning:guided reading of the GDPR, the ePrivacy Directive and Organic Law 3/2018 applied to real cases, not as a theoretical annex.
Industry software:Google Analytics 4, Amplitude, Mixpanel, Segment and dbt, in free, academic or evaluation versions.
Final project:complete UX instrumentation for a digital product, from key metrics and tracking plan to privacy-compliant implementation, data model and dashboard, reviewed by your tutor.
Flexible format:100% online, no fixed timetables, compatible with full-time work.
Capstone project

Build it end to end

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

Product and key metrics
Select a digital product and define its key metrics.
Event tracking plan
Design the event tracking plan with a consistent taxonomy.
Implementation with privacy
Implement the events with privacy and consent built in.
Data model and dashboard
Build the analytical data model and the metrics dashboard.
Final project
Present the complete instrumentation with improvement recommendations, reviewed by your tutor.
Career opportunities

Where this takes you

Product AnalystAnalytics EngineerQuantitative UX ResearcherDigital Product ManagerData Privacy SpecialistExperience Data Analyst
Admissions & scholarships

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 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.

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FAQ

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 Google Analytics 4, Amplitude, Mixpanel, Segment and dbt, 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 programme 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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