Diploma in Discrete Simulation and Operational What-If
Online postgraduate diploma of 800 hours in discrete-event simulation and operational what-if analysis: 8 modules covering discrete-event simulation, model building, verification and validation, output analysis, what-if scenarios, simulation-based optimisation and industrial applications under VDI 3633 and ISO 23247, with an assigned technical tutor.
Diploma in Discrete Simulation and Operational What-If — studying from South Africa
South Africa has a growing digital economy, with strong demand for data scientists, analysts and simulation specialists in finance, mining, telecoms and government. Major banks, mining houses and telecommunications operators such as MTN and Vodacom rely on advanced analytics for planning and operations. Universities including the University of Cape Town and Wits contribute research in machine learning and computational modelling. Protection of personal data is governed by national legislation, which shapes how analytics work is carried out.
Fees for South Africa: R 27 900 (South African rand), with instalments and employer sponsorship available.
Relevant bodies in South Africa
Typical roles
Questions from South Africa
Is a SEIUM qualification recognised by any South African professional body for data and AI?
South Africa has no single statutory register for data scientists or AI practitioners, and bodies such as the Computer Society of South Africa and the South African Qualifications Authority set their own standards. SEIUM is a private online institute whose qualifications are not state degrees and are not accredited by a national body. Recognition is decided by employers or the relevant body, so ask them directly before enrolling.
Do South African employers in data and AI value private online qualifications?
Demand for data and analytics skills in South Africa spans banking, insurance, telecoms, retail and government, and employers often assess skills through portfolios, technical interviews and experience. A private online qualification may support your CV, but it does not guarantee a job or salary outcome. Show prospective employers the syllabus and your project work to gauge their interest.
How does the workload fit with a job, and what English level do I need?
The programme is fully online and taught in English, so you need confident reading and writing skills. As it is remote, no student visa is needed to study from home. Master's programmes total 1,900 hours, postgraduate diplomas 800 hours and specialist courses 300 hours, with an assigned technical tutor and a final project. Fees can be paid in instalments, and employer sponsorship may be possible.
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
Explain the mechanisms of discrete-event simulation.
Build models of production and service systems.
Verify and validate models with data and experts.
Analyse simulation outputs statistically.
Design and evaluate operational what-if scenarios.
Apply simulation-based optimisation techniques.
Integrate simulation with industrial information systems.
Who it's for
- Process simulation engineers modelling production and service systems.
- Operations analysts who need to test decisions before implementing them.
- Industrial engineers working on layout, capacity and flow.
- Logistics consultants sizing warehouses and distribution centres.
- Digital twin engineers connecting simulation to plant data.
- Planning analysts evaluating demand, shift and resource scenarios.
- Engineering or science graduates looking to move into manufacturing.
What you'll work with
- VDI 3633 Blatt 1 (simulation of logistics, material flow and production systems)
- ISO 23247-1:2021 (digital twin framework for manufacturing)
- IEC 62264-1:2013 (ISA-95) (enterprise-control system integration)
- ISO 22400-2:2014 (key performance indicators for manufacturing operations management)
- ISO/IEC 30173:2023 (digital twin concepts and terminology)
- IEEE 1516-2010 (HLA) (High Level Architecture for distributed simulation)
- ISO 9001:2015 (quality management systems)
- AnyLogic
- Siemens Plant Simulation
- FlexSim
- SimPy
- Arena
8 modules
1.1Systems, entities and events1.2Time-advance mechanism1.3Event, process and activity approaches1.4Queues, resources and servers1.5Pseudo-random number generators1.6Random variables and distributions1.7Queueing theory and Little's law1.8Comparison with analytical models1.9The VDI 3633 simulation standard1.10Workshop: manual model of an M/M/1 queue
2.1Conceptualisation and scope of the model2.2Process data collection2.3Fitting input distributions2.4Modelling shifts and breakdowns2.5Priority logic and rules2.6Transport and handling2.7Appropriate level of detail2.8Documenting assumptions2.9Animation and communication2.10Lab: assembly line in AnyLogic
3.1Verification of the model logic3.2Traces and debugging3.3Validation with historical data3.4Validation with experts3.5Extreme-value tests3.6Statistical validation of outputs3.7Credibility with management3.8Model version control3.9Common modelling errors3.10Practical: validation of a warehouse model
4.1Terminating and non-terminating simulations4.2Warm-up period and Welch's method4.3Number of replications4.4Confidence intervals4.5Batch means4.6Common random numbers4.7Comparison of alternatives4.8Parameter sensitivity analysis4.9Presentation of results4.10Lab: output analysis with SimPy
5.1Definition of operational scenarios5.2Design of simulation experiments5.3Changes in capacity and resources5.4Changes in product mix and demand5.5Inventory and replenishment policies5.6Bottleneck management5.7Impact of breakdowns and maintenance5.8Risk and extreme scenarios5.9Decision tables5.10Practical: what-if analysis of extended shifts
6.1Simulation-based optimisation6.2Genetic and tabu-search metaheuristics6.3OptQuest and commercial tools6.4Selection and ranking of alternatives6.5Metamodels for optimisation6.6Multi-objective scenario optimisation6.7Operational constraints of the system6.8Computational cost and parallelisation6.9Validation of the optimal solution6.10Case study: resource sizing for a logistics centre
7.1Manufacturing and production lines7.2Logistics and warehouses7.3Hospitals and emergency departments7.4Airports and terminals7.5Supply chain7.6Hybrid simulation with agents7.7Integration with MES and ERP data7.8Simulation as a digital twin7.9The ISA-95 and ISO 23247 standards7.10Case study: redesign of flows in a hospital emergency department
8.1Definition of the system and questions8.2Data collection and analysis8.3Conceptual model of the system8.4Model implementation8.5Verification and validation8.6Design of what-if scenarios8.7Statistical analysis of the outputs8.8Operational recommendations to management8.9Report and presentation8.10Final project: final review with the tutor
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 standard and applied exercises. The working software is AnyLogic, Siemens Plant Simulation, FlexSim, SimPy and Arena, in free, academic or evaluation versions. Practical work is based on real procedures for modelling production lines and warehouses, capacity scenario analysis and resource optimisation through simulation. Assessment is continuous by module, plus the final project.
Standards covered: VDI 3633 Blatt 1, ISO 23247-1:2021, IEC 62264-1:2013 (ISA-95), ISO 22400-2:2014, ISO/IEC 30173:2023, IEEE 1516-2010 (HLA), ISO 9001:2015.
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
- Prior technical training or professional experience in the sector. No university degree is required.
- An 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.
Frequently asked questions
The programme totals 800 hours over 6–8 months. You set your own pace within each intake, and your tutor helps you plan the workload around your job.
You work with AnyLogic, Siemens Plant Simulation, FlexSim, SimPy and Arena, 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 final project. 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 are recognised in a higher programme in the same area (postgraduate diploma or master's). Ask about the recognition policy when you enrol.
Prior technical training or professional experience in the sector (no university degree required), 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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