Monte Carlo Simulation Course in Radiation Protection
Online 300-hour course in Monte Carlo simulation in radiation protection. 6 modules covering IAEA GSR Part 3 (radiation protection), ICRP Publication 103 (recommendations for radiation protection) and MCNP. Assigned tutor and open enrolment.
Take the controls.
Run a real engineering trade-off from this programme. Move the sliders, watch the model react in real time and beat the challenge.
What you will be able to do
Explain the fundamentals of the Monte Carlo method for radiation transport.
Build geometries and sources in Monte Carlo codes.
Calculate dose quantities using ICRP conversion coefficients.
Apply variance reduction techniques.
Assess the statistical uncertainty of results.
Compare results between MCNP, Geant4 and FLUKA.
Solve a radiation protection case by simulation.
Who it's for
- Radiation protection physicist who wants to specialise in Monte Carlo simulation in radiation protection.
- Monte Carlo calculation engineer who wants to specialise in Monte Carlo simulation in radiation protection.
- Radiophysicist who wants to specialise in Monte Carlo simulation in radiation protection.
- Dosimetry technician who wants to specialise in Monte Carlo simulation in radiation protection.
- Radiation transport researcher who wants to specialise in Monte Carlo simulation in radiation protection.
- Radiation safety consultant who wants to specialise in Monte Carlo simulation in radiation protection.
- Engineering or science graduates seeking to enter the nuclear industry.
What you'll work with
- IAEA GSR Part 3 (radiation protection)
- ICRP Publication 103 (recommendations for radiation protection)
- ICRP Publication 116 (dose conversion coefficients)
- ICRP Publication 110 (reference computational phantoms)
- ICRU Report 95 (operational quantities)
- Directive 2013/59/Euratom (basic safety standards)
- Royal Decree 1029/2022 (protection of health against ionising radiation)
6 modules · 300 h
1.1Why a stochastic method is used1.2Brief history of the method and its applications1.3Transport equation and its statistical solution1.4Elements of a simulation: source, geometry, materials and detectors1.5Histories, collisions and scoring1.6Cross sections and nuclear data libraries1.7Widely used codes in radiation protection1.8What a simulation can and cannot solve1.9Verification versus validation1.10Exercise: planning a simple simulation
2.1Building geometry by surfaces and by bodies2.2Combinatorial geometry versus meshes2.3Defining materials and densities2.4Importing design and image-based geometries2.5Anthropomorphic and voxelised phantoms2.6Defining the source: energy, direction and distribution2.7Extended sources and real spectra2.8Most common modelling errors2.9Model documentation2.10Practice: modelling a room with shielding
3.1Estimators for flux, current and energy deposition3.2Converting flux to dose using coefficients3.3Calculating ambient and personal dose equivalent3.4Scoring on surfaces, cells and points3.5Scoring meshes and dose maps3.6Calculating spectra at a point3.7Activation and heating scoring3.8Scoring problems in low-probability regions3.9Physical interpretation of the result3.10Practice: obtaining a dose rate map
4.1Statistical error and convergence criteria4.2Statistical tests of the result4.3Importance of cells and particle splitting4.4Russian roulette and its effect4.5Source biasing and importance sampling4.6Weight window transport4.7Hybrid deterministic and stochastic methods4.8Risk of introducing bias when accelerating4.9Computation time and parallelisation4.10Practice: accelerating a deep shielding case
5.1Shielding design for rooms and bunkers5.2Calculation of doors, mazes and service passages5.3Instrument dosimetry and detector response5.4Calibration of measuring equipment by simulation5.5Internal dosimetry and biokinetic models5.6Doses to patients and healthcare staff5.7Material activation and subsequent management5.8Accelerator and industrial facility cases5.9Documenting a calculation report5.10Practice: sizing the shielding of a room
6.1Choosing the problem to solve6.2Defining requirements and acceptance criteria6.3Geometric and material model6.4Defining the source and scoring6.5Variance reduction strategy6.6Convergence and uncertainty analysis6.7Comparison with analytical calculation or measurements6.8Design conclusions6.9Technical calculation report6.10Defence of the work
How you'll learn
100 % online training on the SEIUM campus, with downloadable material, recorded classes and assigned technical tutor. No fixed timetable: the student progresses 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 MCNP, Geant4, FLUKA, PENELOPE, OpenMC, in free, academic or evaluation versions. Case studies cover real dose calculation procedures in computational phantoms, source and detector modelling, and variance reduction techniques. Assessment is continuous per 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.
Explain the fundamentals of the Monte Carlo method for radiation transport.
Build geometries and sources in Monte Carlo codes.
Calculate dose quantities using ICRP conversion coefficients.
Apply variance reduction techniques.
Assess the statistical uncertainty of results.
Where this takes you
Requirements
- No prior degree is required.
- Internet connection and a computer capable of running the programme's software.
- Sufficient level of Spanish to follow technical regulatory reading.
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 300 hours spread over 3 to 5 months. That is between 10 and 15 hours a week on average, compatible with a full-time job.
You work with MCNP, Geant4, FLUKA, PENELOPE, OpenMC. Free, academic or evaluation versions are used, and the tutor indicates the free alternative where one exists.
An SEIUM own diploma upon passing the continuous assessment and the integrative project. It is in-house training, not an official Ministry title.
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.
Related programmes
ISO/IEC 42001 Course (AI Management Systems)
Online course of 300 h in ISO/IEC 42001 (AI Management Systems). 6 modules covering ISO/IEC 42001 (AI management systems), ISO/IEC 23894 (AI risk management) and OneTrust.…
Course in Ethics in the Academic Use of Military Engineering
Online 300-hour course in ethics in the academic use of military engineering. 6 modules covering the European Code of Conduct for Research Integrity (ALLEA, 2023), Law…
Course in ISO Military Software Certification
Online 300-hour course in ISO military software certification. 6 modules covering DO-178C (software in airborne systems), ISO/IEC/IEEE 12207 (software lifecycle processes) and IBM Engineering Requirements Management…
More in Off-Road, Special Vehicles & Machinery
All Off-Road, Special Vehicles & Machinery programmes → · How to apply · Fees & financing · Scholarships