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Master'sEnergy and Networks Applications open

Master’s in Smart Buildings and BEMS

Online master's programme of 1,900 hours in smart buildings and BEMS — commissioning, ASHRAE/EN standards and energy analytics. 12 modules covering smart buildings, HVAC, lighting and other systems, building automation, building protocols, building energy management systems, analytics and optimisation, integration with renewables and the grid, comfort and air quality, cybersecurity, and commissioning and management, with ISO 52120-1, Directive (EU) 2024/1275 and ISO 16484-5 (BACnet) and an assigned technical tutor.

Duration12–14 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

Understand the systems of a smart building.

02

Design building automation architectures.

03

Integrate BACnet, KNX, DALI and Modbus protocols.

04

Implement building energy management systems (BEMS).

05

Apply analytics and fault detection.

06

Integrate buildings with renewables and the grid.

07

Verify energy savings according to IPMVP.

Profile

Who it's for

  • Building automation engineers.
  • Energy managers.
  • BMS system integrators.
  • HVAC engineers.
  • Building data analysts.
  • Energy efficiency consultants.
  • Engineering or science graduates seeking to enter the commercial building sector.
Standards & tools

What you'll work with

  • ISO 52120-1 (contribution of building automation, controls and management)
  • Directive (EU) 2024/1275 (Energy Performance of Buildings Directive)
  • ISO 16484-5 (BACnet data communication protocol)
  • EN 16798-1 (indoor environmental input parameters)
  • ISO 50001 (energy management systems)
  • ISO/IEC 14543-3 (KNX home and building electronic systems)
  • IEC 62386 (DALI digital addressable lighting interface)
  • IPMVP (International Performance Measurement and Verification Protocol)
  • Siemens Desigo CC
  • Niagara Framework
  • EnergyPlus
  • ETS (KNX)
  • SkySpark
Syllabus

12 modules

  1. 1.1The smart building concept
  2. 1.2Energy consumption of buildings
  3. 1.3The Energy Performance of Buildings Directive
  4. 1.4Smart readiness indicator (SRI)
  5. 1.5Nearly zero-energy buildings
  6. 1.6Building systems
  7. 1.7Occupants and comfort
  8. 1.8Trends in construction
  9. 1.9Reference cases
  10. 1.10Case study: diagnosis of an office building
  1. 2.1Heating and cooling production
  2. 2.2Heat pumps
  3. 2.3Variable refrigerant flow (VRF) systems
  4. 2.4Air handling units
  5. 2.5Ventilation with heat recovery
  6. 2.6HVAC hydraulic distribution
  7. 2.7Radiant floor and ceiling systems
  8. 2.8HVAC control
  9. 2.9Seasonal efficiency of equipment
  10. 2.10Lab: analysis of an AHU
  1. 3.1Efficient LED lighting
  2. 3.2DALI lighting control
  3. 3.3Daylight harvesting
  4. 3.4Presence detection
  5. 3.5Blind control
  6. 3.6Lifts and vertical transport
  7. 3.7Domestic hot water
  8. 3.8Security and access control
  9. 3.9Systems integration
  10. 3.10Practical exercise: DALI control with sensors
  1. 4.1Architecture of a BMS
  2. 4.2Management, automation and field levels
  3. 4.3Direct digital controllers (DDC)
  4. 4.4Sensors and actuators
  5. 4.5Controller programming
  6. 4.6Control loops
  7. 4.7Sequences of operation
  8. 4.8Alarms and events
  9. 4.9User interface
  10. 4.10Lab: control sequence for an AHU
  1. 5.1The BACnet protocol and its objects
  2. 5.2KNX home and building automation
  3. 5.3Modbus in buildings
  4. 5.4Legacy LonWorks networks
  5. 5.5Lighting with DALI-2
  6. 5.6M-Bus for meters
  7. 5.7IoT protocols in buildings
  8. 5.8Interoperability between protocols
  9. 5.9Gateways between systems
  10. 5.10Practical exercise: BACnet network with controllers
  1. 6.1Functions of a BEMS
  2. 6.2Consumption monitoring
  3. 6.3Sub-metering by end use
  4. 6.4Energy performance indicators
  5. 6.5Deviation detection
  6. 6.6Energy baseline
  7. 6.7Energy reporting
  8. 6.8Tariff management
  9. 6.9Integration with the BMS
  10. 6.10Lab: regression-based baseline
  1. 7.1Building data analytics
  2. 7.2Fault detection and diagnostics (FDD)
  3. 7.3Model predictive control
  4. 7.4Demand forecasting
  5. 7.5Set-point optimisation
  6. 7.6Peak management
  7. 7.7Machine learning in buildings
  8. 7.8Digital twins of buildings
  9. 7.9Brick and Haystack semantic models
  10. 7.10Practical exercise: fault detection rules
  1. 8.1Rooftop PV self-consumption
  2. 8.2Battery storage
  3. 8.3Electric vehicle charging
  4. 8.4Demand flexibility
  5. 8.5Demand response
  6. 8.6Grid-interactive buildings
  7. 8.7Building microgrids
  8. 8.8Participation in energy communities
  9. 8.9Load management
  10. 8.10Case study: building with PV and EV charging
  1. 9.1Thermal comfort (PMV/PPD)
  2. 9.2The EN 16798 standard
  3. 9.3Indoor air quality
  4. 9.4CO2 and particulate sensors
  5. 9.5Demand-controlled ventilation
  6. 9.6Visual comfort and glare
  7. 9.7Acoustic comfort of spaces
  8. 9.8Occupant wellbeing
  9. 9.9WELL wellbeing certification
  10. 9.10Lab: CO2-controlled ventilation
  1. 10.1Threats to BMS
  2. 10.2Protocol vulnerabilities
  3. 10.3Network segmentation
  4. 10.4Secure remote access
  5. 10.5BACnet Secure Connect
  6. 10.6Patch management
  7. 10.7Security regulations
  8. 10.8BMS security audits
  9. 10.9Incident response
  10. 10.10Workshop: security assessment of a BMS
  1. 11.1Commissioning of systems
  2. 11.2Recommissioning of existing buildings
  3. 11.3Savings verification
  4. 11.4IPMVP measurement protocol
  5. 11.5Energy management to ISO 50001
  6. 11.6Energy performance contracts
  7. 11.7BMS maintenance
  8. 11.8User training
  9. 11.9Continuous improvement of management
  10. 11.10Practical exercise: measurement and verification plan
  1. 12.1Building selection
  2. 12.2Systems audit
  3. 12.3BEMS architecture design
  4. 12.4Protocol selection
  5. 12.5Control strategies
  6. 12.6Analytics and optimisation
  7. 12.7Measurement and verification plan
  8. 12.8Economic evaluation of the measures
  9. 12.9Master's Thesis report
  10. 12.10Master's Thesis: defence before a panel
Methodology, software & labs

How you'll learn

Training 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 you can combine the programme with your job.

Each module combines theory, guided reading of the original standard and applied exercises. The working software is Siemens Desigo CC, Niagara Framework, EnergyPlus, ETS (KNX) and SkySpark, in free, academic or evaluation versions. Practical work is based on real procedures for commissioning control systems, verifying savings with IPMVP and automated fault detection. Assessment is continuous for each module, plus the final Master's Thesis.

Standards covered: ISO 52120-1, Directive (EU) 2024/1275 on the energy performance of buildings, ISO 16484-5 (BACnet), EN 16798-1, ISO 50001, ISO/IEC 14543-3 (KNX), IEC 62386 (DALI) and IPMVP.

Assigned technical tutor:every module ends with a deliverable that your tutor marks individually.
Standards-based learning:guided reading of ISO 52120-1, the EPBD, ISO 16484-5 (BACnet) and IPMVP applied to real cases, not as a theoretical annex.
Industry software:Siemens Desigo CC, Niagara Framework, EnergyPlus, ETS (KNX) and SkySpark, in free, academic or evaluation versions.
Master's Thesis with defence:The design of a BEMS for a real building, from the systems audit and architecture to protocols, control strategies, analytics, measurement and verification plan and economic evaluation, 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.

Building systems audit
Select a building and audit its HVAC, lighting and control systems.
BEMS architecture and protocols
Design the BEMS architecture and select BACnet, KNX, DALI or Modbus integration.
Control strategies
Define sequences of operation and optimised control strategies.
Analytics and M&V
Apply fault detection and prepare an IPMVP measurement and verification plan.
Master's Thesis
Present the project with its economic evaluation, defended before a panel.
Career opportunities

Where this takes you

Building automation engineerEnergy managerBMS system integratorHVAC engineerBuilding data analystEnergy efficiency consultant
Admissions & scholarships

Requirements

  • University degree in engineering, science or architecture, or equivalent demonstrable professional experience.
  • 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 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 Siemens Desigo CC, Niagara Framework, EnergyPlus, ETS (KNX) and SkySpark, 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 university degree in engineering, science or architecture (or equivalent professional experience), 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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