Diploma in Micro/Macro-Sim of Networks and Traffic Signals
Online postgraduate diploma of 800 hours in micro/macro network simulation and traffic signal control: 8 modules covering traffic flow and road networks, macrosimulation, microsimulation, signal timing design, adaptive control, scenario evaluation and multi-scale integration under the Highway Capacity Manual and NTCIP 1202, with an assigned technical tutor.
Diploma in Micro/Macro-Sim of Networks and Traffic Signals — studying from the United States
Data science, artificial intelligence and simulation are central to American industry, with major concentrations in the San Francisco Bay Area, Seattle, New York and Boston. Engineering organizations increasingly rely on machine learning, digital twins and high-performance computing to accelerate design, testing and operations. Employers range from large technology companies to aerospace, automotive and energy firms that apply analytics to complex systems. Demand is strong for engineers who combine domain knowledge with modeling, statistics and software skills.
Fees for the United States: US$1,220 (US Dollars), with instalments and employer sponsorship available.
Relevant bodies in the United States
Typical roles
Questions from the United States
Which US bodies relate to data science, AI and simulation engineering?
There is no single licensing body for data science or AI in the US. Relevant professional organizations include the IEEE Computer Society, the Association for Computing Machinery (ACM), and the Society for Industrial and Applied Mathematics (SIAM). Federal guidance such as the NIST AI Risk Management Framework shapes practice. SEIUM's qualifications are private and not accredited by a national body, so recognition is decided by employers.
How do US employers in data and AI regard private online postgraduate qualifications?
US tech firms, financial institutions and research labs generally hire on the basis of portfolios, technical interviews, relevant experience and sometimes advanced degrees. A private online qualification can show structured study, but it is not a standard hiring requirement and each employer weighs it differently. Public projects, code repositories and measurable results tend to matter most.
Is it realistic to study data and AI from the US around a full-time job?
Yes, the programmes are fully online and taught in English, so you can study from home without a student visa. The workload is large: about 1,900 hours for a master's, 800 hours for a postgraduate diploma, and 300 hours for a specialist course. An assigned technical tutor supports you. Fees may be paid in instalments, and employer sponsorship is sometimes available, which you should confirm with your employer.
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
Analyse traffic behaviour using its fundamental variables.
Build and calibrate macroscopic network models.
Develop validated microsimulations of intersections and corridors.
Design fixed-time and actuated signal plans.
Evaluate adaptive and intelligent control strategies.
Quantify impacts on delay, emissions and safety.
Integrate models at different scales into traffic twins.
Who it's for
- Traffic engineers working on urban and interurban networks.
- Transport modellers building demand and assignment models.
- Traffic signal technicians designing and tuning signal plans.
- Mobility consultants assessing schemes for public authorities.
- ITS engineers deploying detection, communications and control systems.
- Traffic control centre analysts managing network operations.
- Engineering or science graduates looking to move into the public sector.
What you'll work with
- Highway Capacity Manual, 7th edition (TRB) (capacity and level-of-service methodology)
- FHWA Traffic Analysis Toolbox Volume III (guidelines for applying traffic microsimulation software)
- NTCIP 1202 (object definitions for actuated signal controllers)
- SAE J2735 (V2X message set dictionary, including SPaT)
- Directive 2010/40/EU (ITS) (framework for intelligent transport systems)
- Real Decreto 1428/2003 (Reglamento General de Circulación) (Spanish General Traffic Regulations)
- ETSI EN 302 637-2 (cooperative awareness basic service for C-ITS)
- SUMO
- PTV Vissim
- PTV Visum
- Aimsun Next
- TRANSYT
8 modules
1.1Fundamental variables of flow, speed and density1.2The fundamental diagram of traffic1.3Capacity and levels of service1.4Highway Capacity Manual methodology1.5Representation of networks and nodes1.6Traffic count and detector data1.7Floating vehicle speed data1.8Macro, meso and micro models1.9Choosing the modelling level1.10Workshop: fundamental diagram with detector data
2.1The four-step model2.2Origin-destination matrices by time period2.3Traffic assignment and Wardrop equilibrium2.4BPR cost functions2.5Dynamic traffic assignment2.6The cell transmission model2.7Calibration with traffic counts2.8Matrix estimation2.9Evaluation of network alternatives2.10Lab: traffic assignment in PTV Visum
3.1Car-following models3.2Wiedemann and Krauss models3.3Lane changing and gap acceptance3.4Modelling intersections and roundabouts3.5Pedestrians and cyclists3.6Public transport in microsimulation3.7Randomness and number of replications3.8Calibration and validation with GEH3.9FHWA microsimulation guidance3.10Lab: urban intersection in SUMO
4.1Cycle, phases and splits4.2Webster's method4.3Fixed-time intersections4.4Detector-actuated control4.5Coordination and green waves4.6Optimisation with TRANSYT4.7Signal priority for public transport4.8Pedestrian safety and clearance times4.9Controllers according to NTCIP 12024.10Practical: signal plan for an intersection
5.1SCOOT and SCATS systems5.2Model-based adaptive control5.3Network control with reinforcement learning5.4Max-pressure and decentralised control5.5V2X communications and SPaT messages5.6Video detection and AI5.7Integration with traffic control centres5.8Assessing the benefits of adaptive control5.9Robustness and communication failures5.10Lab: reinforcement-learning control with SUMO and TraCI
6.1Delay, queue and stop indicators6.2Emissions with HBEFA models6.3Safety with SSAM conflict analysis6.4Roadworks and event scenarios6.5Low-emission zone scenarios6.6Connected and autonomous vehicles6.7Cost-benefit analysis of alternatives6.8Visualisation of results6.9Communication to decision-makers6.10Case study: impact of an urban bus lane
7.1Hybrid macro-micro models7.2Mesosimulation of large areas7.3Consistency between levels7.4Traffic digital twins7.5Real-time data for simulation7.6Short-term traffic forecasting7.7Real-time simulation for operations7.8Computational scalability of simulation7.9Management of city models7.10Case study: traffic twin of a district
8.1Scope and mobility problem8.2Traffic data collection8.3Macroscopic model of the network8.4Microscopic model of the critical area8.5Calibration and validation8.6Design of signal plans8.7Scenario evaluation8.8Technical recommendations to the city council8.9Report 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 SUMO, PTV Vissim, PTV Visum, Aimsun Next and TRANSYT, in free, academic or evaluation versions. Practical work is based on real procedures for calibrating microsimulation models with traffic counts, optimising signal plans at intersections and evaluating urban mobility scenarios. Assessment is continuous by module, plus the final project.
Standards covered: Highway Capacity Manual, 7th edition (TRB), FHWA Traffic Analysis Toolbox Volume III, NTCIP 1202, SAE J2735, Directive 2010/40/EU (ITS), Real Decreto 1428/2003 (Reglamento General de Circulación), ETSI EN 302 637-2.
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 SUMO, PTV Vissim, PTV Visum, Aimsun Next and TRANSYT, 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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