Master’s in Photorealistic Render Engineering and Real-Time Visualisation
Online master's programme of 1,900 hours in photorealistic rendering engineering and real-time visualisation. 12 modules covering light transport, physically based materials, ACES colour management, real-time rasterisation and ray tracing, offline render engines, optimisation, reality capture and neural rendering, with an assigned technical tutor.
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 light transport and the rendering equation.
Develop physically correct materials using microfacet models.
Manage colour, exposure and HDR with ACES workflows.
Programme shaders and real-time rasterisation techniques.
Apply real-time ray tracing with denoising and super-resolution.
Optimise scenes for performance in VR and on mobile devices.
Integrate reality capture and neural rendering into production.
Who it's for
- Lighting and rendering artists aiming to master physically based rendering and real-time visualisation.
- Graphics programmers who write shaders and rendering pipelines.
- Real-time visualisation specialists in automotive, architecture or video games.
- Technical artists bridging art and engineering in production teams.
- Virtual production specialists working with LED walls and game engines.
- Render engine developers looking to deepen their knowledge of light transport and GPU techniques.
- Engineering or science graduates seeking to move into the automotive sector.
What you'll work with
- SMPTE ST 2065-1 (ACES) (Academy Color Encoding System)
- ITU-R BT.2100 (HDR television image parameters)
- IEC 61966-2-1 (sRGB) (default RGB colour space)
- ISO 3664:2009 (viewing conditions for graphic technology and photography)
- ITU-R BT.709 (HDTV image parameters)
- ISO 22028-1:2016 (extended colour encodings for digital image storage)
- ISO/IEC 12113:2022 (glTF 2.0) (3D asset transmission format)
- Unreal Engine
- Blender
- Chaos V-Ray
- Autodesk Arnold
- RenderDoc
12 modules · 1900 h
1.1Radiometry: radiance and irradiance1.2Kajiya's rendering equation1.3Monte Carlo integration and sampling1.4Importance sampling and MIS1.5Global illumination and diffuse bounces1.6Caustics and photon mapping1.7Participating and volumetric media1.8Subsurface scattering in translucent materials1.9Spectral versus RGB rendering1.10Lab: minimal path tracer in Python
2.1GGX and Cook-Torrance microfacets2.2Energy conservation and Fresnel2.3Metalness versus specular workflow2.4Clearcoat varnish layers2.5Anisotropy in brushed metals2.6Transmissive materials and refraction2.7Fabrics and the sheen model2.8BRDF measurement with a gonioreflectometer2.9Measured and tabulated materials2.10Practical: skin material with subsurface scattering
3.1Physical camera model3.2Exposure, ISO and virtual shutter3.3Depth of field and bokeh3.4Motion blur3.5Linear colour spaces3.6Tone mapping and ACES transforms3.7Colour management with OCIO3.8Dynamic range and HDR103.9Monitor calibration3.10Workshop: end-to-end ACES colour pipeline
4.1The GPU graphics pipeline4.2Vertex, pixel and compute shaders4.3Deferred and forward rendering4.4Shadows with cascaded shadow maps4.5SSAO and GTAO ambient occlusion4.6Screen-space reflections4.7TAA and MSAA antialiasing4.8Baked lighting and lightmaps4.9Light and irradiance probes4.10Lab: PBR shader in HLSL
5.1BVH acceleration structures5.2DXR and Vulkan Ray Tracing APIs5.3Ray-traced reflections and shadows5.4Real-time global illumination5.5Spatio-temporal sample denoising5.6DLSS and FSR super-resolution5.7Real-time path tracing5.8Ray budget per pixel5.9RT core architecture5.10Practical: ray-traced reflections in Unreal
6.1Arnold and its integrator6.2V-Ray in product visualisation6.3Blender Cycles and its nodes6.4Redshift and GPU rendering6.5CPU versus GPU performance comparison6.6Distributed network rendering6.7Sample and noise settings6.8Light linking and passes6.9Multilayer EXR format6.10Workshop: engine comparison on a single scene
7.1Product studio lighting7.2Exterior scenes with a physical sky7.3Integration onto photographic backplates7.4Capturing HDRIs matched to backgrounds7.5Imperfections, dust and wear7.6Believable scale and proportion7.7Art direction of the image7.8Analysis of photographic references7.9Photographic composition and framing7.10Practical: integrating a vehicle into a backplate
8.1GPU profiling with RenderDoc and Nsight8.2Video memory management8.3Draw calls and instancing8.4Virtual textures and streaming8.5Virtualised geometry and automatic LOD8.6Shader compilation and caching8.7Virtual reality requirements at 90 Hz8.8Rendering on mobile platforms8.9Performance budgets per scene8.10Lab: optimising a scene to 60 fps
9.1Photogrammetry of objects and environments9.2Terrestrial laser scanning9.3Material scanning with structured light9.4Lighting capture with probes9.5Representation with Gaussian splatting9.6Neural radiance fields9.7Cleaning and retopology of captures9.8Integrating captures into engines9.9Rights for capturing spaces9.10Case study: digitising a museum for real time
10.1OIDN and OptiX neural denoisers10.2AI temporal super-resolution10.3Intermediate frame generation10.4Compressed neural materials10.5Depth-guided diffusion10.6Relighting with neural networks10.7AI texture synthesis10.8Artefacts and quality assessment10.9Ethics of synthetic imagery10.10Workshop: neural denoiser in a path tracer
11.1Real-time architectural visualisation11.2Automotive configurators11.3Consumer product packshots11.4Virtual production with LED walls11.5Video game graphics11.6Training simulators11.7Synthetic data for computer vision11.8Visualisation of engineering results11.9Volumetric medical visualisation11.10Case study: virtual production of a commercial
12.1Definition of the visual objective12.2Analysis of real references12.3Modelling and scene preparation12.4Development of materials and textures12.5Lighting and physical camera12.6Production of the final render12.7Optimisation of render times or fps12.8Perceptual evaluation of realism12.9Master's Thesis report12.10Master's Thesis: defence before a panel
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 the programme is compatible with full-time work.
Each module combines theory, guided reading of the original standard and applied exercises. The working software is Unreal Engine, Blender, Chaos V-Ray, Autodesk Arnold and RenderDoc, in free, academic or evaluation versions. Testing is studied through real procedures: comparing renders with reference photographs, performance profiling of real-time scenes and perceptual evaluation of realism with observers. Assessment is continuous by module, plus the final Master's Thesis.
Standards covered: SMPTE ST 2065-1 (ACES), ITU-R BT.2100, IEC 61966-2-1 (sRGB), ISO 3664:2009, ITU-R BT.709, ISO 22028-1:2016, ISO/IEC 12113:2022 (glTF 2.0).
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 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.
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 Unreal Engine, Blender, Chaos V-Ray, Autodesk Arnold, RenderDoc, 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 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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