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.
Postgraduate Diploma in Dynamic Pricing and Consumer Behaviour — studying from New Zealand
New Zealand's energy sector is distinctive for its high share of renewable generation, drawn from hydroelectric, geothermal and wind resources. Transpower operates the national grid, while distribution networks are run by regional lines companies, and the Electricity Authority regulates the wholesale and retail markets. Energy engineers are employed across generation, transmission, distribution and retail, with demand growing as the country works towards its renewable electricity goals.
Fees for New Zealand: NZ$1,770 (New Zealand dollar), with instalments and employer sponsorship available.
Relevant bodies in New Zealand
Typical roles
Questions from New Zealand
What professional recognition applies to energy and network engineers in New Zealand?
Engineering New Zealand administers Chartered Professional Engineer registration, which is widely used in the energy sector. The Electricity Authority oversees the electricity market, and the Electricity Engineers' Association is an industry body. SEIUM's qualifications are private and not accredited by any national body, so recognition is decided by employers or the relevant body.
Who employs energy and network engineers in New Zealand?
Major employers include electricity lines companies, generators, transmission operators, gas network businesses and consultancies. Roles often value registration, field experience and knowledge of New Zealand's grid and regulation. A private qualification may support your CV, but it does not guarantee employment or a particular career outcome.
Can I study from New Zealand with a full-time job, and does an employer need to fund it?
Yes. The programmes are 100% online and taught in English, so you can study from New Zealand without a student visa. You will have an assigned technical tutor and complete a final project. Specialist courses take 300 hours, diplomas 800 and master's programmes 1,900. Fees can be paid in instalments, and employer sponsorship is 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
Compare fixed, time-of-use and dynamic retail tariff structures.
Apply concepts of electricity demand economics and elasticity.
Incorporate behavioural economics insights into tariff design.
Design experiments to assess the impact of a tariff.
Analyse smart meter data to segment consumers.
Identify the technologies that enable price response.
Design consumer communication and protection for dynamic tariffs.
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.
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)
8 modules · 800 h
1.1Components of the electricity bill1.2Flat, tiered and time-of-use tariffs1.3Time-of-use (TOU) pricing1.4PVPC and its market indexation1.5Real-time pricing tariffs1.6Critical peak pricing and peak rebates1.7Fixed versus variable charges1.8Cost recovery and cross-subsidies1.9Energy poverty and the social bonus1.10Case study: tariff comparison for a household
2.1Demand curves and price elasticity2.2Substitution elasticity between periods2.3Consumer surplus and welfare2.4Wholesale price formation2.5Marginal cost and scarcity signals2.6Allocative efficiency of dynamic prices2.7Distributional effects across consumers2.8Price risk for the consumer2.9Hedging and fixed-price contracts2.10Workshop: estimating elasticities with hourly data
3.1Bounded rationality and heuristics3.2Loss aversion and the endowment effect3.3Status quo bias and default options3.4Social norms and comparison with neighbours3.5Salience of information and feedback3.6Hyperbolic discounting in investment decisions3.7Limited attention and event fatigue3.8Trust and perceived fairness3.9Ethical nudges and choice architecture3.10Case study: comparative consumption reports
4.1Randomised controlled trials4.2Opt-in, opt-out and selection bias4.3Difference-in-differences4.4Regression discontinuity and instrumental variables4.5Statistical power calculation4.6Heterogeneity of effects4.7Persistence of long-term effects4.8SMUD and BGE pilots4.9Evaluation protocols and reproducibility4.10Practical: analysing a tariff pilot in Python
5.1Smart meter load curves5.2NILM load disaggregation5.3Customer segmentation and clustering5.4Response prediction models5.5Personalisation of tariff offers5.6Privacy, GDPR and anonymisation5.7Data visualisation and communication5.8Data access via Datadis5.9Algorithmic bias in segmentation5.10Lab: clustering load curves
6.1Smart thermostats and automatic control6.2Electric vehicle charging management6.3Home batteries and self-consumption6.4Heat pumps and thermal storage6.5Home energy management systems6.6Apps and real-time price signals6.7Automation versus manual response6.8Interoperability with Matter and open protocols6.9Barriers to technology adoption6.10Workshop: automated response to price signals
7.1Protection of vulnerable consumers7.2Transparency and comparability of offers7.3Dynamic pricing contracts in European regulation7.4Default tariffs and mass migrations7.5Communicating tariff changes7.6Customer service and complaints7.7Social and political acceptability7.8Lessons from the 2021–2022 price crisis7.9Regulatory impact assessment7.10Case study: campaign for migration to a time-of-use tariff
8.1Diagnosis of the customer segment8.2Tariff structure design8.3Modelling the bill impact8.4Nudge and communication strategy8.5Experimental pilot design8.6Analysis plan and metrics8.7Assessment of fairness and vulnerability8.8Deployment recommendations8.9Report and presentation8.10Final 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. 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.
Build it end to end
Your final project follows the real engineering workflow, step by step, reviewed by your tutor.
Compare fixed, time-of-use and dynamic retail tariff structures.
Apply concepts of electricity demand economics and elasticity.
Incorporate behavioural economics insights into tariff design.
Design experiments to assess the impact of a tariff.
Analyse smart meter data to segment consumers.
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 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.
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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