Master’s in Energy Risk Management and Hedging
Online master's programme of 1,900 hours in energy risk management and hedging, 12 modules covering energy markets and products, price modelling, VaR and risk measurement, hedging strategies, PPAs, portfolio management, credit risk, REMIT/MiFID II/EMIR regulation and transition risks, with an assigned technical tutor.
Master’s in Energy Risk Management and Hedging — studying from Singapore
Singapore's energy system is largely based on natural gas, supplemented by growing investment in solar, energy storage and grid modernisation. The Energy Market Authority regulates the electricity and gas markets and oversees network reliability, while SP Group operates the national grid. Engineers work on power systems, distribution networks, energy efficiency and resilience planning. The sector also supports regional energy trading and the petrochemical cluster on Jurong Island.
Fees for Singapore: S$11,300 (Singapore dollar), with instalments and employer sponsorship available.
Relevant bodies in Singapore
Typical roles
Questions from Singapore
Which Singapore bodies regulate energy and utility networks, and is SEIUM recognised?
Singapore's energy sector is regulated by the Energy Market Authority (EMA), and power and water networks involve SP Group and PUB, the national water agency. Engineers may register with the Professional Engineers Board (PEB). SEIUM's qualifications are private, not state degrees, and not accredited by any national body, so recognition is for employers or the relevant body to decide.
Which employers in Singapore hire energy and network engineers?
Main employers include SP Group, PUB, EMA-regulated energy companies, engineering consultancies, and industrial firms managing power systems. Singapore's grid modernisation and renewable projects also create roles. Employers typically look for professional registration and practical network experience. Your final project may help, but it does not guarantee a position.
Is this workable alongside a job, and what support is provided?
The course is fully online and taught in English, with an assigned technical tutor for guidance. Workload is significant: 1,900 hours for a master's, 800 for a postgraduate diploma and 300 for a specialist course. Fees are payable in instalments, and employer sponsorship is possible, depending on your employer's training policy.
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
Identify the risks in energy markets.
Model electricity and gas prices.
Measure risk with VaR and related metrics.
Design hedging strategies with derivatives.
Value PPAs and flexible assets.
Manage credit and counterparty risk.
Organise risk management in line with financial regulation.
Who it's for
- Energy risk analysts.
- Energy portfolio managers.
- Energy traders.
- Origination analysts.
- Middle office managers.
- Risk management consultants.
- Engineering or science graduates looking to move into energy trading and retail.
What you'll work with
- Regulation (EU) 1227/2011 (REMIT) (wholesale energy market integrity and transparency)
- Directive 2014/65/EU (MiFID II) (markets in financial instruments)
- Regulation (EU) 648/2012 (EMIR) (OTC derivatives, central counterparties and trade repositories)
- IFRS 9 (financial instruments and hedge accounting)
- ISO 31000 (risk management)
- EFET General Agreement (standard energy trading contract)
- ISDA Master Agreement (standard OTC derivatives contract)
- Python with NumPy and pandas
- MATLAB Financial Toolbox
- Allegro ETRM
- Excel with VBA
- R
12 modules
1.1Types of energy risk1.2Price risk1.3Volume risk1.4Credit and counterparty risk1.5Liquidity risk1.6Operational and systems risk1.7Regulatory risk1.8Market volatility1.9The 2022 energy crisis1.10Case study: risk map of an energy retailer
2.1Electricity spot markets2.2Natural gas markets2.3Emission allowance markets2.4Standardised baseload and peakload products2.5Futures contracts2.6Bilateral forward contracts2.7Energy swaps2.8Energy options2.9Exchange and OTC markets2.10Lab: forward curve analysis
3.1Characteristics of energy prices3.2Seasonality and mean reversion3.3Price jumps and spikes3.4Stochastic price models3.5Fundamental equilibrium models3.6Scenario simulation3.7Model calibration3.8Correlation between commodities3.9Price forecasting3.10Practical: Monte Carlo price simulation
4.1Value at Risk (VaR)4.2Historical and parametric VaR4.3Monte Carlo VaR4.4Expected Shortfall4.5Profit at Risk4.6Cash Flow at Risk4.7Stress testing4.8Model backtesting4.9Risk limits4.10Lab: VaR calculation for a portfolio
5.1Hedging with futures5.2Hedging with swaps5.3Hedging with options5.4Optimal hedge ratio5.5Dynamic hedging strategies5.6Spread hedging5.7Basis risk5.8Cross-commodity hedging5.9Hedge effectiveness assessment5.10Practical: hedging strategy for an industrial consumer
6.1Types of PPA6.2Physical and financial PPAs6.3Delivery profiles6.4Price capture risk6.5Profile and volume risk6.6PPA valuation6.7Guarantees and collateral6.8Negotiating clauses6.9Public contracts for difference6.10Lab: valuation of a wind PPA
7.1Portfolio optimisation7.2Generation management7.3Demand management7.4Flexible assets and their value7.5Real options valuation7.6Storage as an option7.7Portfolio balancing7.8Performance indicators7.9Portfolio reporting7.10Practical: optimisation of a generation portfolio
8.1Counterparty assessment8.2Counterparty credit rating8.3Potential future exposure8.4Mitigation with collateral8.5ISDA and EFET agreements8.6Clearing houses8.7Margins and liquidity8.8Counterparty default8.9Credit limit management8.10Case study: the 2022 margin crisis
9.1REMIT integrity regulation9.2MiFID II Directive9.3EMIR derivatives regulation9.4Reporting obligations9.5Ancillary activity exemptions9.6Market abuse9.7IFRS 9 hedge accounting9.8Supervision by CNMV and CNMC9.9Compliance programme9.10Workshop: EMIR obligations of an energy company
10.1Risk governance10.2Front, middle and back office functions10.3Risk policies10.4Risk committee10.5ETRM management systems10.6Internal process controls10.7Risk auditing10.8Risk culture10.9Management reporting10.10Practical: risk policy for an energy company
11.1Physical climate risk11.2Transition risk11.3Renewable price cannibalisation11.4Stranded asset risk11.5The carbon market11.6EU green taxonomy11.7Sustainability reporting11.8Climate scenario analysis11.9Strategic risk management11.10Case study: impact of solar cannibalisation
12.1Selecting the company or portfolio12.2Risk identification12.3Price modelling12.4Risk measurement12.5Hedge design12.6Evaluation of results12.7Risk governance proposal12.8Conclusions and recommendations12.9Master's Thesis report12.10Master's Thesis: defence before a panel
How you'll learn
The programme is delivered 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. The working software is Python with NumPy and pandas, MATLAB Financial Toolbox, Allegro ETRM, Excel with VBA and R, in free, academic or evaluation versions. Testing is studied on real procedures for price scenario simulation, portfolio stress testing and risk model backtesting. Assessment is continuous by module plus the final Master's Thesis.
Standards covered: Regulation (EU) 1227/2011 (REMIT), Directive 2014/65/EU (MiFID II), Regulation (EU) 648/2012 (EMIR), IFRS 9, ISO 31000, EFET General Agreement, ISDA Master Agreement.
Build it end to end
Your final project follows the real engineering workflow, step by step, reviewed by your tutor.
Where this takes you
Requirements
- University degree in engineering, science or architecture, or equivalent demonstrable professional experience.
- Internet connection and a computer able to run 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.
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 Python with NumPy and pandas, MATLAB Financial Toolbox, Allegro ETRM, Excel with VBA and R, 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 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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