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Master'sEnergy and Networks Applications open

Master’s in Data Centre Energy Engineering

Online master's programme of 1,900 hours in energy engineering for data centres: 12 modules covering efficiency metrics, electrical architecture, UPS and backup generation, efficient cooling, heat reuse, renewable supply, grid integration, monitoring, and design, regulation and certification, with an assigned technical tutor.

Duration1900 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

Measure data centre efficiency with standardised metrics.

02

Design redundant electrical architectures.

03

Size uninterruptible power supply and backup systems.

04

Select efficient cooling strategies.

05

Assess the reuse of waste heat.

06

Plan renewable supply and grid integration.

07

Apply the sector's standards and regulatory requirements.

Profile

Who it's for

  • Data centre infrastructure engineers.
  • Data centre energy managers.
  • Cooling engineers working on high-density facilities.
  • Digital sustainability consultants.
  • Mission-critical electrical engineers.
  • Renewable supply analysts serving digital infrastructure.
  • Engineering or science graduates aiming to move into the data centre sector.
Standards & tools

What you'll work with

  • UNE-EN 50600 (data centre facilities and infrastructures)
  • ISO/IEC 30134-2 (PUE, power usage effectiveness)
  • Directive (EU) 2023/1791 (Energy Efficiency Directive)
  • Delegated Regulation (EU) 2024/1364 (common rating scheme for data centres)
  • ASHRAE TC 9.9 Thermal Guidelines (data processing environments)
  • IEC 62040-3 (UPS performance)
  • Real Decreto 842/2002 (REBT, Spanish low-voltage electrical regulation)
  • EU Code of Conduct for Data Centre Energy Efficiency (voluntary best-practice scheme)
  • 6SigmaDCX
  • EcoStruxure IT
  • ETAP
  • Python (pandas)
  • EnergyPlus
Syllabus

12 modules · 1900 h

  1. 1.1Growth of digital demand
  2. 1.2Electricity consumption of data centres
  3. 1.3Artificial intelligence and power density
  4. 1.4Types: hyperscale, colocation and edge
  5. 1.5Availability classification by tiers
  6. 1.6Siting and energy criteria
  7. 1.7The data centre market in Spain
  8. 1.8Impact on the power grid
  9. 1.9Sustainability of the sector
  10. 1.10Case study: energy analysis of a hyperscale campus
  1. 2.1PUE: definition and measurement
  2. 2.2WUE and CUE
  3. 2.3ERF and energy reuse
  4. 2.4REF and renewable energy factor
  5. 2.5Metrics in the ISO/IEC 30134 series
  6. 2.6Reporting under the Energy Efficiency Directive
  7. 2.7Benchmarking between facilities
  8. 2.8Measurement errors
  9. 2.9Continuous efficiency improvement
  10. 2.10Lab: PUE calculation from sub-metering data
  1. 3.1High- and medium-voltage supply
  2. 3.2Data centre substations
  3. 3.3Low-voltage distribution
  4. 3.4N+1 and 2N redundancy
  5. 3.5Switchboards and busbar trunking
  6. 3.6Rack-level distribution and PDUs
  7. 3.7400 V DC distribution
  8. 3.8Discrimination and protection
  9. 3.9Power quality in data centres
  10. 3.10Practical exercise: single-line diagram of a 2 MW data hall
  1. 4.1UPS technologies
  2. 4.2Scalable modular UPS
  3. 4.3Lead-acid and lithium batteries
  4. 4.4Flywheels
  5. 4.5UPS efficiency
  6. 4.6High-efficiency eco modes
  7. 4.7UPS as a grid resource
  8. 4.8Battery maintenance
  9. 4.9Lithium battery safety
  10. 4.10Lab: sizing a UPS with 10 minutes of autonomy
  1. 5.1Diesel generator sets
  2. 5.2HVO renewable fuels
  3. 5.3Fuel cells
  4. 5.4Periodic load testing
  5. 5.5Emissions and permits
  6. 5.6Fuel storage
  7. 5.7Start-up and transfer
  8. 5.8Battery-based backup
  9. 5.9Combustion-free alternatives
  10. 5.10Case study: replacing diesel generators with HVO and batteries
  1. 6.1Thermal loads of servers
  2. 6.2Chillers and free cooling
  3. 6.3Direct and indirect evaporative cooling
  4. 6.4Aisle containment
  5. 6.5Direct-to-chip liquid cooling
  6. 6.6Immersion cooling
  7. 6.7ASHRAE recommended temperatures
  8. 6.8CFD simulation of data halls
  9. 6.9Water consumption
  10. 6.10Practical exercise: CFD simulation of a contained data hall
  1. 7.1Waste heat from data centres
  2. 7.2Heat pumps to raise temperature
  3. 7.3Connection to district heating networks
  4. 7.4Industrial and agricultural uses
  5. 7.5Nordic heat reuse experience
  6. 7.6Obligations under the Energy Efficiency Directive
  7. 7.7Technical and economic feasibility
  8. 7.8Heat supply contracts
  9. 7.9Urban planning of data centres
  10. 7.10Lab: feasibility of connecting to a district heating network
  1. 8.1Long-term renewable PPAs
  2. 8.224/7 hourly matching
  3. 8.3Guarantees of origin
  4. 8.4Self-consumption in data centres
  5. 8.5Storage on campus
  6. 8.6Emissions accounting
  7. 8.7Carbon neutrality targets
  8. 8.8Sustainability reporting
  9. 8.9Greenwashing and credibility
  10. 8.10Case study: 24/7 carbon-free supply strategy
  1. 9.1Access and connection of large loads
  2. 9.2Connection timescales
  3. 9.3Demand capacity tenders
  4. 9.4Data centre flexibility
  5. 9.5Shiftable AI workloads
  6. 9.6Balancing services
  7. 9.7Quality of supply
  8. 9.8Coordination with the system operator
  9. 9.9Network planning
  10. 9.10Practical exercise: load flexibility of an AI data centre
  1. 10.1DCIM and BMS
  2. 10.2Energy monitoring by data hall
  3. 10.3Digital twins of data centres
  4. 10.4AI-based cooling optimisation
  5. 10.5Predictive maintenance of critical equipment
  6. 10.6Capacity management
  7. 10.7Operational availability indicators
  8. 10.8Cybersecurity of building systems
  9. 10.9Mandatory energy audits
  10. 10.10Workshop: energy dashboard for a data centre
  1. 11.1EN 50600 for facilities
  2. 11.2Availability certifications
  3. 11.3European Code of Conduct for Data Centres
  4. 11.4Fire protection regulations
  5. 11.5Licences and permitting
  6. 11.6Environmental assessment of the project
  7. 11.7Requirements of the Energy Efficiency Directive
  8. 11.8EU Taxonomy and data centres
  9. 11.9Prefabricated modular construction
  10. 11.10Case study: EN 50600 checklist for a project
  1. 12.1Definition of the data centre
  2. 12.2Design of the electrical architecture
  3. 12.3Cooling strategy
  4. 12.4Heat reuse
  5. 12.5Renewable supply strategy
  6. 12.6Grid integration
  7. 12.7Efficiency assessment
  8. 12.8Conclusions and future lines of work
  9. 12.9Master's Thesis report
  10. 12.10Master's Thesis: defence before a panel
Methodology, software & labs

How you'll learn

100% online training on the SEIUM campus, with downloadable materials, recorded classes and an assigned technical tutor. There is no fixed timetable: you progress at your own pace within the intake, so it is compatible with full-time work.

Each module combines theory, guided reading of the original standards and applied exercises. The working software is 6SigmaDCX, EcoStruxure IT, ETAP, Python (pandas) and EnergyPlus, in free, academic or evaluation versions. Practical work is based on real procedures: energy efficiency measurement of data halls, CFD cooling simulation and heat reuse studies. Assessment is continuous by module, plus the final Master's Thesis.

Standards covered: UNE-EN 50600, ISO/IEC 30134-2, Directive (EU) 2023/1791, Delegated Regulation (EU) 2024/1364, ASHRAE TC 9.9 Thermal Guidelines, IEC 62040-3, Real Decreto 842/2002, EU Code of Conduct for Data Centre Energy Efficiency.

Assigned technical tutor:every module ends with a deliverable that your tutor marks individually.
Standards-based learning:guided reading of UNE-EN 50600, ISO/IEC 30134-2 and the Energy Efficiency Directive (EU) 2023/1791 applied to real cases, not as a theoretical annex.
Industry software:6SigmaDCX, EcoStruxure IT, ETAP, Python (pandas) and EnergyPlus, in free, academic or evaluation versions.
Master's Thesis with defence:A complete energy design for a data centre, from electrical architecture to renewable supply, defended before a panel.
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.

Data centre definition and PUE
Define the facility and establish its efficiency baseline with PUE and related metrics.
Electrical architecture
Design the redundant electrical architecture, UPS and backup generation.
Cooling strategy
Select and simulate the cooling strategy with CFD.
Heat reuse and renewable supply
Assess heat reuse and plan the renewable supply and grid integration.
Master's Thesis
A complete data centre energy design with efficiency assessment, defended before a panel.
Career opportunities

Where this takes you

Data centre infrastructure engineerData centre energy managerCooling engineerDigital sustainability consultantMission-critical electrical engineerRenewable supply analyst
Admissions & scholarships

Requirements

  • A university degree in engineering, science or architecture, or equivalent demonstrable professional experience.
  • 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.

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FAQ

Frequently asked questions

The programme totals 1,900 hours over 12–14 months. You set your own pace within each intake, and your tutor helps you plan the workload around your job.

You work with 6SigmaDCX, EcoStruxure IT, ETAP, Python (pandas) and EnergyPlus, 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 Master's Thesis. 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 in a course or postgraduate diploma in the same area are recognised in the higher programme. Ask about the recognition policy when you enrol.

A degree in engineering, science or architecture (or equivalent professional experience), a computer able to run the programme's 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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