Smart Water Grids in Cities Course
About our
The Smart Water Grids in Cities course explores the implementation of advanced technologies for efficient water management in urban environments. It focuses on the application of IoT sensors, real-time data analytics, and predictive modeling to optimize water distribution, leak detection, and consumption. The course also addresses cybersecurity in water infrastructure and the use of smart grids to improve the resilience and sustainability of cities.
Participants will gain practical knowledge of SCADA systems, Big Data applied to water, and simulation tools for urban water resource planning and management. Aspects of water regulation and public policy are also explored, fostering innovation in integrated water management and the creation of smarter and more sustainable cities.
Smart Water Grids in Cities Course
- Format: Online
- Duration: 3 months
- Hours: 300 H
- Language: English / Spanish
- Registration date: 23-10-2026
- Start date: 12-12-2026
- Available places: 3
575 $
Competencies and results
What you will learn
1. Design and Management of Smart Water Networks in Urban Environments
- Understand the fundamentals of smart water networks: From basic hydraulics to advanced distribution systems.
- Master sensor and monitoring technologies: Pressure, flow, and water quality sensors, and their integration into SCADA systems.
- Learn about data management and analytics: Data collection, storage, processing, and analysis for performance optimization.
- Study network modeling and simulation: Using specialized software to simulate network behavior and predict scenarios.
- Explore performance optimization strategies: Reducing water losses, energy management, and operational optimization.
- Learn about the application of smart technologies: Integration of communication technologies (IoT), predictive analytics, and machine learning.
- Analyze the implementation of asset management systems: Predictive maintenance, asset replacement planning, and lifecycle management.
- Understanding cybersecurity in smart water networks: Protection against cyber threats and ensuring data security.
- Studying regulations and standards: Knowledge of the regulations and standards relevant to the design and operation of smart water networks.
- Developing planning and design skills: Designing new smart networks and adapting existing ones.
life.
2. Analysis and Optimization of Smart Urban Water Systems
- Understand the fundamentals of smart water systems and their importance in urban environments.
- Identify the key components of smart water systems, including sensors, communication networks, and data management platforms.
- Analyze the data collected by smart water systems to identify patterns, anomalies, and trends in water consumption and distribution.
- Use data analysis tools and specialized software to optimize the performance of smart water systems.
- Apply optimization techniques to reduce water consumption, minimize losses, and improve operational efficiency.
- Evaluate the implementation of smart technologies, such as leak detection, real-time monitoring, and pressure management.
- Develop optimization strategies for water demand management, supply planning, and emergency response.
- Understand the related security and cybersecurity aspects with smart water systems.
Explore case studies and practical examples of the implementation of smart water systems in different cities and regions.
Evaluate the economic, social, and environmental impact of smart water systems in urban communities.
3. Comprehensive user-oriented design and validation (from modeling to manufacturing)
You will learn to integrate the entire product development process, from initial model conception to final validation, applying user-centered methodologies. You will develop skills in parametric design, ergonomics, simulation, sustainable materials, 3D visualization, and manufacturing management, ensuring efficient, safe solutions that meet current industry standards.
4. Development and Operation Strategies for Smart Water Grids in Cities
4. Smart Water Grid Development and Operation Strategies in Cities
- Understand the fundamentals of Smart Water Grids (SWGs) and their importance in efficient water management.
- Identify the key components of an SWG: sensors, smart meters, communication systems, and data management platforms.
- Analyze the different sensor and smart meter technologies used in SWGs, including their advantages and disadvantages.
- Explore the communication protocols and network architectures used in SWGs, such as LoRaWAN, NB-IoT, and mesh networks.
- Study data management and analysis in SWGs, including the collection, storage, processing, and visualization of water consumption and quality data.
- Learn about SWG management platforms and their functionalities for network monitoring, control, and optimization.
- Evaluate optimization strategies of the operation of SWGs, including pressure management, leak detection and repair, and demand management.
- Analyze the challenges and opportunities related to cybersecurity in SWGs.
- Study SWG implementation case studies in different cities and regions, analyzing their results and lessons learned.
- Design and implement energy management solutions for SWGs, considering sustainability and energy efficiency.
5. Evaluation and Improvement of the Performance of Urban Smart Water Grids
- Understand the critical components of urban Smart Water Grids and how they work.
- Evaluate key performance indicators (KPIs) for smart water management.
- Analyze sensor data and Geographic Information Systems (GIS) for decision-making.
- Identify and diagnose problems in the water network, such as leaks and losses.
- Apply simulation and optimization models to improve system efficiency.
- Develop strategies for reducing non-revenue water loss.
- Implement demand management (DMM) and demand response (DRR) technologies.
- Evaluate the impact of new technologies on water infrastructure.
- Design and implement continuous improvement plans for system performance.
- Analyze cybersecurity and data protection in Smart Water Grids.
6. Analysis, Design and Optimization of Smart Water Grids in Cities
6. Analysis, Design, and Optimization of Smart Water Grids in Cities
- Understand the fundamentals of Smart Water Grids.
- Analyze the key components of a Smart Water Grid: sensors, smart meters, communication systems, and management software.
- Evaluate the existing water infrastructure in cities and its potential for integrating smart technologies.
- Design and model Smart Water Grids, considering network topology, sensor placement, and data transmission capacity.
- Optimize the performance of Smart Water Grids using analysis and simulation tools to improve efficiency and reduce water losses.
- Apply data analysis techniques to identify consumption patterns, detect leaks, and predict network failures.
- Implement demand management strategies, including dynamic pricing and user awareness campaigns.
- Explore the use of renewable energy in Smart Water Grids.
- Evaluate cybersecurity in Smart Water Grids and measures to protect the infrastructure from attacks.
- Analyze Smart Water Grid case studies in different cities around the world.
Who this program is for:
Smart Water Grids in Cities Course
- Water management professionals, including engineers, technicians, and managers of operations, maintenance, and planning in water companies, public entities, and consulting firms.
- Graduates in Civil Engineering, Environmental Engineering, Chemical Engineering, Electronics Engineering, Computer Science, or related disciplines, interested in the application of Smart Water Grid technologies.
- Personnel from utility companies seeking to optimize efficiency in water distribution and management, reduce losses, and improve service quality.
- Researchers and academics interested in the research and development of innovative solutions for water management.
Recommended requirements: Basic knowledge of hydraulics, water networks, and Water distribution, measurement and control systems; familiarity with software platforms and data analysis.
- Standards-driven curriculum: you will work with CS-27/CS-29, DO-160, DO-178C/DO-254, ARP4754A/ARP4761, ADS-33E-PRF from the first module.
- Accreditable laboratories (EN ISO/IEC 17025) with rotor bench, EMC/Lightning pre-compliance, HIL/SIL, vibrations/acoustics.
- Evidence-oriented TFM: safety case, test plan, compliance dossierand operational limits.
- Mentored by industry: teachers with experience in rotorcraft, tiltrotor, eVTOL/UAM and flight test.
- Flexible modality (hybrid/online), international cohorts and support from SEIUM Career Services.
- Ethics and security: safety-by-design approach, cyber-OT, DIH and compliance as pillars.
1.1 Fundamentals of Smart Water Networks: Key Concepts
1.2 Components of a Smart Water Network: Sensors, Actuators, and Communication
1.3 Design of Supervisory Control and Data Acquisition (SCADA) Systems
1.4 Data Management in Smart Water Networks: Collection, Storage, and Analysis
1.5 Tools and Software for the Design and Management of Smart Water Networks
1.6 Modeling and Simulation of Water Distribution Networks
1.7 Leak Detection and Prevention Strategies
1.8 Optimizing Energy Performance in Water Networks
1.9 Cybersecurity in Smart Water Networks
1.10 Implementing a Water Network Management Plan
2.2 Introduction to the Analysis of Urban Smart Water Systems
2.2 Data Collection and Analysis in Smart Water Systems
2.3 Modeling and Simulation of Smart Water Networks
2.4 Optimization of Water Distribution Network Design
2.5 Failure Analysis and Risk Management in Water Systems
2.6 Optimization of the Operational Performance of Water Networks
2.7 Integration of IoT Technologies and Sensors in Water Systems
2.8 Tools and Software for Smart Water System Analysis
2.9 Cost-Benefit Analysis and Sustainability of Solutions
2.20 Case Studies: Optimization of Smart Water Systems in Cities
3.3 Fundamentals of Smart Water Grid Implementation: Key Concepts and Architecture
3.2 Sensor and Measurement Technologies for Smart Water Grids
3.3 Communication and Connectivity in Smart Water Grids: Communication Networks
3.4 Integration of Geographic Information Systems (GIS) in Smart Water Grids
3.5 Implementation of Data Management and Analysis Software in Smart Water Grids
3.6 Cybersecurity in Smart Water Grids: Data and System Protection
3.7 Case Studies: Successful Smart Water Grid Implementations in Urban Environments
3.8 Challenges and Solutions in Smart Water Grid Implementation
3.9 Regulatory and Normative Aspects of Smart Water Grid Implementation
3.30 Future of Smart Water Grid Implementation: Trends and Emerging Technologies
4.4 City Identification: Selection and Analysis of Urban Environments for Smart Water Grids.
4.2 Strategy Design: Modeling and Simulation of Smart Water Systems.
4.3 Key Technologies: Sensors, Actuators, and Communications in Smart Water Grids.
4.4 Data Management: Real-Time Data Collection, Processing, and Analysis.
4.5 Network Modeling: Hydraulic and Energy Optimization of Water Systems.
4.6 Control and Automation: Implementation of Intelligent Control Systems.
4.7 Cybersecurity: Protecting Smart Water Grids Against Cyber Threats.
4.8 Demand Management: Strategies for Water Efficiency and Loss Reduction.
4.9 Sustainability: Environmental Impact Assessment and Sustainability of Smart Water Grids. 4.40 Case Studies: Implementation of Strategies in Real Cities.
5.5 Introduction to Smart Water Grids: Concepts and Fundamentals
5.5 Design of Smart Water Distribution Networks
5.3 Sensors and Actuators for Smart Water Grids
5.4 Data Management and Analytics Systems in Water Networks
5.5 Cybersecurity in Smart Water Infrastructures
5.6 Modeling and Simulation of Water Networks
5.7 Optimizing Network Design for Energy Efficiency
5.8 Pressure Management and Leak Control in Smart Networks
5.9 Implementation of Communication Technologies in Smart Water Grids
5.50 Case Study: Design and Management of an Urban Smart Water Grid
6.6 Fundamentals of Smart Water Grid Design
6.2 Smart Water Grid Architecture and Components
6.3 Sensor and Monitoring System Design
6.4 Data Analysis and Hydraulic Modeling
6.5 Water Distribution Optimization
6.6 Pressure Management System Design
6.7 Implementation of Communication Technologies
6.8 Cybersecurity Design in Smart Water Grids
6.9 Case Studies: Smart Water Grid Design in Cities
6.60 Optimization and Continuous Improvement Strategies
- Hands-on methodology: test-before-you-trust, design reviews, failure analysis, compliance evidence.
- Software (depending on licenses/partners): MATLAB/Simulink, Python (NumPy/SciPy), OpenVSP, SU2/OpenFOAM, Nastran/Abaqus, AMESim/Modelica, acoustics tools, planning toolchains DO-178C.
- SEIUM Laboratories: scale rotor bench, vibrations/acoustics, EMC/Lightning pre-compliance, HIL/SIL for AFCS, data acquisition with strain gauging.
- Standards and compliance: EN 9100, 17025, ISO 27001, GDPR.
Capstone-type projects
Admissions, fees, and scholarships
- Profile: Background in Computer Engineering, Mathematics, Statistics, or related fields; practical experience in NLP and valued information retrieval systems.
- Documentation: Updated CV, academic transcript, SOP/statement of purpose, project examples or code (optional).
- Process: Application → Technical evaluation of profile and experience → Technical interview → Review of case studies → Final decision → Enrollment.
- Fees:
- Single payment: 10% discount.
- Payment in 3 installments: No fees; 30% upon registration + 2 equal monthly payments of the remaining 35%.
Monthly payment: available with a 7% commission on the total; annual review.
Scholarships: based on academic merit, financial need, and promoting inclusion; agreements with companies in the sector for partial or full scholarships.
See “Calendar & Calls for Applications,” “Scholarships & Grants,” and “Fees & Financing” in the SEIUM mega-menu.
Do you have any questions?
Our team is ready to help you. Contact us, and we will respond as soon as possible.
F. A. Q
Frequently asked questions
Yes, we have international certification
Yes: experimental models, real data, applied simulations, professional environments, real case studies.
It is not mandatory. We offer leveling tracks and tutoring.
Completely. It covers e-propulsion, integration, and emerging regulations (SC-VTOL).
Recommended. There are also internal challenges and consortiums.
Yes. Online/hybrid modality with planned labs and visa support (see “Visa & Residence”).