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Master'sNuclear Engineering & Nuclear Fuel Cycle Technologies Applications open

Master’s in Nuclear Energy Policy, Economics and Project Finance Engineering

Online master's programme of 1,900 hours in nuclear energy policy, economics and project finance engineering. 12 modules covering electricity markets, the economics of nuclear generation, project finance, megaproject risk, comparative nuclear policy, fuel cycle markets, decommissioning liabilities, public policy analysis, energy modelling and new business models, 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

Analyse the role of nuclear energy in the energy system.

02

Understand how electricity markets work.

03

Calculate levelised costs and system costs.

04

Build financial models of nuclear projects.

05

Manage megaproject risks.

06

Compare international nuclear policies.

07

Assess public policies using energy models.

Profile

Who it's for

  • Energy policy analysts.
  • Energy economists.
  • Project finance analysts.
  • Electricity market consultants.
  • Megaproject risk managers.
  • Public policy advisers.
  • Engineering or science graduates looking to enter the nuclear energy sector.
Standards & tools

What you'll work with

  • Delegated Regulation (EU) 2022/1214 (EU taxonomy: nuclear and gas activities)
  • Regulation (EU) 2024/1747 (EU electricity market design reform)
  • Paris Convention (third-party liability in the field of nuclear energy)
  • Directive 2011/70/Euratom (management of spent fuel and radioactive waste)
  • IAEA NG-G-3.1 (Milestones approach for a national nuclear power infrastructure)
  • Spanish Law 25/1964 (Nuclear Energy Act)
  • Euratom Treaty (European Atomic Energy Community)
  • Microsoft Excel
  • OSeMOSYS
  • TIMES
  • Python
  • @RISK
Syllabus

12 modules · 1900 h

  1. 1.1World and European nuclear generation
  2. 1.2Role in decarbonisation
  3. 1.3IEA and IPCC scenarios
  4. 1.4Long-term operation
  5. 1.5New nuclear in Europe
  6. 1.6Phase-out policies
  7. 1.7Security of supply
  8. 1.8The EU taxonomy
  9. 1.9Public debate
  10. 1.10Case study: scenario analysis of a National Energy and Climate Plan
  1. 2.1Wholesale market design
  2. 2.2Marginal pricing
  3. 2.3Capacity markets
  4. 2.4Long-term contracts: PPAs
  5. 2.5Contracts for difference
  6. 2.6EU electricity market reform
  7. 2.7Value of firm generation
  8. 2.8Integration with renewables
  9. 2.9Taxation of nuclear generation
  10. 2.10Practical: price simulation with a supply curve
  1. 3.1Cost structure of a power plant
  2. 3.2Overnight capital costs
  3. 3.3Fuel cost
  4. 3.4Operation and maintenance costs
  5. 3.5Decommissioning and waste costs
  6. 3.6Levelised cost of electricity (LCOE)
  7. 3.7System costs
  8. 3.8Comparison between technologies
  9. 3.9NEA cost databases
  10. 3.10Lab: LCOE model in Excel
  1. 4.1Project finance in energy
  2. 4.2Capital structure
  3. 4.3Weighted average cost of capital
  4. 4.4Financial models
  5. 4.5Debt service coverage ratios
  6. 4.6Construction risks
  7. 4.7The RAB model
  8. 4.8Public guarantees
  9. 4.9Export credit agencies
  10. 4.10Practical: project finance model of a power plant
  1. 5.1Cost overruns in megaprojects
  2. 5.2Lessons from Olkiluoto, Flamanville and Vogtle
  3. 5.3Lessons from Barakah and Shin Kori
  4. 5.4Project risk management
  5. 5.5Probabilistic cost estimation
  6. 5.6EPC contracts and alternatives
  7. 5.7Project governance
  8. 5.8Supply chain
  9. 5.9Learning curves
  10. 5.10Case study: comparative analysis of two projects
  1. 6.1France: the EPR2 programme
  2. 6.2United Kingdom: Hinkley Point C and Sizewell C
  3. 6.3USA: the Inflation Reduction Act
  4. 6.4Nuclear newcomer countries
  5. 6.5Spain: phase-out timetable
  6. 6.6Germany: nuclear exit
  7. 6.7China and Russia as exporters
  8. 6.8The IAEA Milestones approach for new programmes
  9. 6.9Industrial policies
  10. 6.10Workshop: comparison of the policies of three countries
  1. 7.1The uranium market
  2. 7.2Conversion and enrichment
  3. 7.3Fuel fabrication
  4. 7.4Security of fuel supply
  5. 7.5HALEU and new fuels
  6. 7.6Spent fuel management
  7. 7.7Reprocessing and its economics
  8. 7.8Geological disposal and costs
  9. 7.9Waste funds
  10. 7.10Practical: fuel cycle cost
  1. 8.1Decommissioning strategies
  2. 8.2Decommissioning cost estimation
  3. 8.3Provisioning funds
  4. 8.4Enresa and its financing fund
  5. 8.5Liability management
  6. 8.6Nuclear civil liability
  7. 8.7Nuclear insurance
  8. 8.8Long-term financial risk
  9. 8.9International experience
  10. 8.10Case study: adequacy analysis of a fund
  1. 9.1Social cost-benefit analysis
  2. 9.2Externalities and carbon pricing
  3. 9.3Regulatory impact assessment
  4. 9.4State aid and the European Commission
  5. 9.5Employment and regional development
  6. 9.6Social acceptance and participation
  7. 9.7Intergenerational equity
  8. 9.8Policy indicators
  9. 9.9Policy communication
  10. 9.10Workshop: cost-benefit analysis of a lifetime extension
  1. 10.1TIMES and OSeMOSYS optimisation models
  2. 10.2Dispatch models
  3. 10.3Decarbonisation scenarios
  4. 10.4Value of firmness
  5. 10.5Hydrogen and cogeneration
  6. 10.6Uncertainty and sensitivity analysis
  7. 10.7Macroeconomic models
  8. 10.8Interpretation of results
  9. 10.9Model limitations
  10. 10.10Lab: energy scenario with OSeMOSYS
  1. 11.1SMRs and fleet models
  2. 11.2Contracts with large consumers
  3. 11.3Data centres and nuclear
  4. 11.4Industrial heat and cogeneration
  5. 11.5Consumer consortia
  6. 11.6Green finance and bonds
  7. 11.7Venture capital in nuclear
  8. 11.8International cooperation
  9. 11.9Sector trends
  10. 11.10Practical: business model of an SMR for industry
  1. 12.1Definition of the case
  2. 12.2Energy policy context
  3. 12.3Market analysis
  4. 12.4Economic model
  5. 12.5Financial model
  6. 12.6Risk analysis
  7. 12.7Policy recommendations
  8. 12.8Conclusions
  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 material, recorded classes and an assigned technical tutor. There are no fixed timetables: you progress at your own pace within the intake, so you can combine it with your job.

Each module combines theory, guided reading of the original standards and applied exercises. The working software is Microsoft Excel, OSeMOSYS, TIMES, Python and @RISK, in free, academic or evaluation versions. Exercises are based on real procedures for modelling levelised generation costs, project finance models, and energy scenario analysis. Assessment is continuous by module, plus the final Master's Thesis.

Standards covered: Delegated Regulation (EU) 2022/1214 (taxonomy, nuclear and gas), Regulation (EU) 2024/1747 on electricity market reform, Paris Convention on nuclear civil liability, Directive 2011/70/Euratom, IAEA NG-G-3.1 (Milestones approach), Spanish Law 25/1964 on Nuclear Energy, Euratom Treaty.

Assigned technical tutor:every module ends with a deliverable that your tutor marks individually.
Standards-based learning:guided reading of the EU taxonomy delegated regulation 2022/1214, the electricity market reform regulation 2024/1747 and the Paris Convention applied to real cases, not as a theoretical annex.
Industry software:Microsoft Excel, OSeMOSYS, TIMES, Python and @RISK, in free, academic or evaluation versions.
Master's Thesis with defence:A nuclear investment case covering the energy policy context, market analysis, economic and financial models, risk analysis and policy recommendations, 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.

LCOE model
Build a levelised cost of electricity model for a nuclear plant in Excel.
Project finance model
Develop a project finance model with capital structure and debt coverage ratios.
Cost-benefit analysis
Carry out a social cost-benefit analysis of a plant lifetime extension.
Energy scenario
Model a decarbonisation scenario including nuclear with OSeMOSYS.
Master's Thesis
Develop a complete nuclear investment case with economic, financial and policy analysis, defended before a panel.
Career opportunities

Where this takes you

Energy policy analystEnergy economistProject finance analystElectricity market consultantMegaproject risk managerPublic policy adviser
Admissions & scholarships

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.

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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 Microsoft Excel, OSeMOSYS, TIMES, Python and @RISK, 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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