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Postgraduate DiplomaEnergy and Networks Applications open

Postgraduate Diploma in Dynamic Pricing and Consumer Behaviour

Online 800-hour Postgraduate Diploma in Dynamic Pricing and Consumer Behaviour. 8 modules covering Directive (EU) 2019/944 (dynamic price contracts), Royal Decree 216/2014 (PVPC methodology) and R. Assigned tutor and open enrolment.

Duration800 h
ModeOnline
LanguageEnglish
Start datesSet by the faculty
AwardSEIUM Institute diploma
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Learning outcomes

What you will be able to do

01

Compare fixed, time-of-use and dynamic retail tariff structures.

02

Apply concepts of electricity demand economics and elasticity.

03

Incorporate behavioural economics insights into tariff design.

04

Design experiments to assess the impact of a tariff.

05

Analyse smart meter data to segment consumers.

06

Identify the technologies that enable price response.

07

Design consumer communication and protection for dynamic tariffs.

Profile

Who it's for

  • Electricity tariff designer who wants to specialise in Dynamic Pricing and Consumer Behaviour.
  • Consumer behaviour analyst who wants to specialise in Dynamic Pricing and Consumer Behaviour.
  • Energy data scientist who wants to specialise in Dynamic Pricing and Consumer Behaviour.
  • Pricing specialist who wants to specialise in Dynamic Pricing and Consumer Behaviour.
  • Retail market regulatory analyst who wants to specialise in Dynamic Pricing and Consumer Behaviour.
  • Energy customer experience consultant who wants to specialise in Dynamic Pricing and Consumer Behaviour.
  • Engineering or science graduates seeking to enter energy retail.
Standards & tools

What you'll work with

  • Directive (EU) 2019/944 (dynamic price contracts)
  • Royal Decree 216/2014 (PVPC methodology)
  • CNMC Circular 3/2020 (transmission and distribution tolls)
  • Regulation (EU) 2016/679 (GDPR)
  • Royal Decree 1110/2007 (metering points regulation)
  • Directive (EU) 2023/1791 (energy efficiency)
Syllabus

8 modules · 800 h

  1. 1.1Components of the electricity bill
  2. 1.2Flat, tiered and time-of-use tariffs
  3. 1.3Time-of-use (TOU) pricing
  4. 1.4PVPC and its market indexation
  5. 1.5Real-time pricing tariffs
  6. 1.6Critical peak pricing and peak rebates
  7. 1.7Fixed versus variable charges
  8. 1.8Cost recovery and cross-subsidies
  9. 1.9Energy poverty and the social bonus
  10. 1.10Case study: tariff comparison for a household
  1. 2.1Demand curves and price elasticity
  2. 2.2Substitution elasticity between periods
  3. 2.3Consumer surplus and welfare
  4. 2.4Wholesale price formation
  5. 2.5Marginal cost and scarcity signals
  6. 2.6Allocative efficiency of dynamic prices
  7. 2.7Distributional effects across consumers
  8. 2.8Price risk for the consumer
  9. 2.9Hedging and fixed-price contracts
  10. 2.10Workshop: estimating elasticities with hourly data
  1. 3.1Bounded rationality and heuristics
  2. 3.2Loss aversion and the endowment effect
  3. 3.3Status quo bias and default options
  4. 3.4Social norms and comparison with neighbours
  5. 3.5Salience of information and feedback
  6. 3.6Hyperbolic discounting in investment decisions
  7. 3.7Limited attention and event fatigue
  8. 3.8Trust and perceived fairness
  9. 3.9Ethical nudges and choice architecture
  10. 3.10Case study: comparative consumption reports
  1. 4.1Randomised controlled trials
  2. 4.2Opt-in, opt-out and selection bias
  3. 4.3Difference-in-differences
  4. 4.4Regression discontinuity and instrumental variables
  5. 4.5Statistical power calculation
  6. 4.6Heterogeneity of effects
  7. 4.7Persistence of long-term effects
  8. 4.8SMUD and BGE pilots
  9. 4.9Evaluation protocols and reproducibility
  10. 4.10Practical: analysing a tariff pilot in Python
  1. 5.1Smart meter load curves
  2. 5.2NILM load disaggregation
  3. 5.3Customer segmentation and clustering
  4. 5.4Response prediction models
  5. 5.5Personalisation of tariff offers
  6. 5.6Privacy, GDPR and anonymisation
  7. 5.7Data visualisation and communication
  8. 5.8Data access via Datadis
  9. 5.9Algorithmic bias in segmentation
  10. 5.10Lab: clustering load curves
  1. 6.1Smart thermostats and automatic control
  2. 6.2Electric vehicle charging management
  3. 6.3Home batteries and self-consumption
  4. 6.4Heat pumps and thermal storage
  5. 6.5Home energy management systems
  6. 6.6Apps and real-time price signals
  7. 6.7Automation versus manual response
  8. 6.8Interoperability with Matter and open protocols
  9. 6.9Barriers to technology adoption
  10. 6.10Workshop: automated response to price signals
  1. 7.1Protection of vulnerable consumers
  2. 7.2Transparency and comparability of offers
  3. 7.3Dynamic pricing contracts in European regulation
  4. 7.4Default tariffs and mass migrations
  5. 7.5Communicating tariff changes
  6. 7.6Customer service and complaints
  7. 7.7Social and political acceptability
  8. 7.8Lessons from the 2021–2022 price crisis
  9. 7.9Regulatory impact assessment
  10. 7.10Case study: campaign for migration to a time-of-use tariff
  1. 8.1Diagnosis of the customer segment
  2. 8.2Tariff structure design
  3. 8.3Modelling the bill impact
  4. 8.4Nudge and communication strategy
  5. 8.5Experimental pilot design
  6. 8.6Analysis plan and metrics
  7. 8.7Assessment of fairness and vulnerability
  8. 8.8Deployment recommendations
  9. 8.9Report and presentation
  10. 8.10Final review with the tutor
Methodology, software & labs

How you'll learn

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 R, Python (statsmodels), Stata, advanced Excel, in free, academic or evaluation versions. Trials are studied through real procedures of randomised controlled tariff trials, elasticity estimation with smart meter data, and customer segmentation by consumption pattern. Assessment is continuous across each 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-driven Master's Thesis:safety case, test plan, compliance dossier and operating limits.
Industry mentoring:lecturers 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, cyber-OT, DIH and compliance as its pillars.
Capstone project

Build it end to end

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

Diagnosis of the customer segment

Compare fixed, time-of-use and dynamic retail tariff structures.

Tariff structure design

Apply concepts of electricity demand economics and elasticity.

Modelling the bill impact

Incorporate behavioural economics insights into tariff design.

Nudge and communication strategy

Design experiments to assess the impact of a tariff.

Experimental pilot design

Analyse smart meter data to segment consumers.

Career opportunities

Where this takes you

Electricity tariff designerConsumer behaviour analystEnergy data scientistPricing specialistRetail market regulatory analystEnergy customer experience consultant
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's software.
  • Sufficient 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.

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FAQ

Frequently asked questions

The programme comprises 800 total hours spread over 6 to 8 months. That is between 10 and 15 hours a week on average, compatible with full-time work.

The programme uses R, Python (statsmodels), Stata and advanced Excel. Free, academic or evaluation versions are used, and the tutor indicates the free alternative where one exists.

A SEIUM Institute diploma upon passing continuous assessment and the final integrative 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 recognition policy when you enrol.

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