Master’s Degree in Crisis Management and Decision Making in Emergency Situations
Why this master’s programme?
The Master’s in Crisis Management and Decision-Making in Emergency Situations
This program will provide you with the essential skills and knowledge to lead and coordinate effective responses to any type of crisis. You will learn to analyze risks, plan mitigation strategies, and make critical decisions under pressure, minimizing the impact on lives and property. This program will immerse you in realistic simulations and equip you with tools for effective communication and managing multidisciplinary teams.
Key Advantages
- Real-Case Analysis: Learn from the lessons of past crises.
- Immersive Simulations: Practice your skills in simulated crisis environments.
- Decision-Making Tools: Master techniques for evaluating options and making informed decisions.
- Communication Management: Learn to communicate effectively with different audiences in crisis situations.
- Crisis Leadership: Develop the skills needed to lead teams under pressure and maintain control. calm in situations of chaos.
- Modality: Online
- Level: Masters
- Hours: 1600 H
- Start date:
Availability: 1 in stock
Who is it aimed at?
- Public and private security professionals seeking to lead and coordinate effective responses to complex emergencies.
- Emergency directors and managers who need to optimize the planning and management of resources in critical situations.
- Decision-makers in governmental and non-governmental organizations who wish to strengthen their crisis management skills.
- Consultants and advisors in risk and emergency management interested in expanding their knowledge and analytical tools.
- Graduates in related fields (social sciences, health, engineering) seeking high-level specialization in crisis management and decision-making.
Flexibility Academic
Adapted for active professionals: online format, updated content, real-world case studies, and international networking.
Objectives and skills
Leading multidisciplinary teams in the effective response to complex crises:
Promote assertive communication, decision-making under pressure, and efficient resource management, prioritizing safety and the organization’s strategic objectives.
Analyze and assess risks to anticipate and mitigate the impact of emergencies:
Implement specific contingency plans, considering the vulnerability of the infrastructure, the criticality of the operations, and the response capacity of the staff.
Develop and implement communication strategies to manage information and public perception during a crisis:
“Develop proactive crisis plans, including clear communication protocols, identification of key stakeholders, and scenario simulations for a rapid and effective response.”
Mastering the tools and techniques for strategic decision-making under pressure:
Quickly assess available information, prioritize objectives, effectively communicate the decision, and adapt the strategy according to the evolving situation, minimizing risks and maximizing plan compliance.
Design and coordinate contingency plans to ensure the operational continuity of organizations in the face of adverse situations:
“Identify threats, assess risks and implement mitigation strategies prioritizing security and minimizing the impact on operations.”
Implement safety and response protocols that minimize damage and protect lives in emergency scenarios:
“Establish clear evacuation, communication and first aid procedures, adapted to specific risks and integrated with external emergency services.”
Study plan – Modules
- Fundamentals of Comprehensive Crisis Management: Definitions, Types of Crises, and Critical Phases
- Predictive Models and Their Applicability: Statistical Analysis, Machine Learning, and Artificial Intelligence Systems in Emergencies
- Development of Crisis Scenarios: Multivariable Simulation and Probabilistic Risk Assessment
- Advanced Mitigation Strategies: Design and Implementation of Dynamic and Adaptive Plans for Critical Situations
- Integration of Geospatial Information Systems (GIS) and Big Data for Real-Time Monitoring
- Data-Driven Decision Making: Frameworks (OODA, DECIDE) and Optimization Algorithms Under Pressure
- Technological Tools for Crisis Management: Collaborative Platforms, Predictive Dashboards, and Early Warning Systems
- Strategic Communication and Information Management in Crisis Situations Complex situations: managing uncertainty and multichannel communication
Post-crisis assessment and analysis: key performance indicators, lessons learned, and continuous improvement
International regulations and standards applied to emergency management and decision-making in critical contexts
- Current overview of technological innovation in crisis management: trends, challenges, and opportunities
- Fundamentals of data analysis applied to emergencies: data types, sources, and information quality
- Big Data and its application in emergency situations: capture, processing, and massive storage of information
- Advanced predictive analytics tools: machine learning, artificial intelligence, and statistical modeling to anticipate critical scenarios
- Integration of geographic information systems (GIS) and remote sensing for real-time monitoring and evaluation
- Development and use of collaborative digital platforms for inter-institutional coordination and communication in crises
- Application of IoT (Internet of Things) sensors in the early detection and dynamic monitoring of emerging events
- Protocols for processing massive amounts of data during emergencies: cleaning, validation, and ensuring data integrity
- Advanced Data Visualization: Dashboards, Interactive Maps, and Simulation Tools to Support Decision-Making
- Data Management in Multi-Agency Environments: Interoperability, Open Standards, and Information Security
- Automation and Robotics in Crisis Response: Drones, Autonomous Vehicles, and Search and Rescue Robots
- Practical Application of Real-Time Analytics for Resource and Logistics Optimization in Emergency Response
- Capabilities and Limitations of Artificial Intelligence in Complex Decision-Making Under Pressure and Dynamic Conditions
- Ethical and Legal Aspects of Using Disruptive Technologies and Personal Data During Crisis Management
- International Success Stories in Applying Technological Innovation and Data Analysis in Natural Disasters, Pandemics, and Urban Crises
- Design and Evaluation of Customized Technological Systems: Usability, Scalability, and Operational Resilience Criteria
- Development of Technical Skills for the Implementation and management of advanced technologies in response teams
Continuing education and technological updating strategies for emergency management professionals
Methodologies for the evaluation and continuous improvement of technological tools and analytical processes in responding to critical situations
Planning future scenarios with technological support: simulations, serious games, and augmented and virtual reality techniques
- Fundamentals of Predictive Models: definition, types, and applications in crisis management
- Machine Learning and Deep Learning Algorithms: supervised, unsupervised, neural networks, and their implementation in emergency scenarios
- Advanced Big Data analytics techniques for the early detection of critical events
- Integration of IoT sensors in real-time monitoring systems: capture, processing, and transmission of vital information
- Technological architectures for developing predictive models: cloud computing, edge computing, and their impact on the speed of decision-making
- Development of simulations and digital twins to anticipate complex scenarios in disaster management
- Explainable Artificial Intelligence (XAI): how to validate and trust automated predictions for critical decisions
- Methodologies for
- Validation and calibration of predictive models in dynamic and highly uncertain environments
- Risk assessment through predictive analytics: quantification, prioritization, and contingency planning
- Collaborative platforms based on disruptive technologies to improve interoperability among emergency agencies
- Advanced data visualization: creation of dashboards, dynamic maps, and early warning systems for end users
- Automated management of information flows for the efficient coordination of human and material resources in crises
- Ethical and privacy aspects in the use of data for emergency management: regulations, security, and responsible handling
- Case studies of technological implementation in natural, health, and man-made emergencies with results analysis
- Development of technical skills for the critical interpretation of results from predictive tools
- Strategic planning
- Based on data intelligence: Integration of predictive insights for response optimization
- Roles and responsibilities of crisis managers in the handling of advanced technologies and information systems
- Training in specialized software for predictive analysis and modeling of emergency scenarios
- Continuous evaluation and adaptation of models in response to changes in risk patterns and technological evolution
- Technological innovation applied to continuous improvement in decision-making, with a focus on resilience and sustainability
- Fundamentals of Crisis Leadership: Contemporary Theories Applied to Highly Complex and Volatile Incidents
- Advanced Decision-Making Models Under Pressure: Heuristic Analysis, Cognitive Biases, and Mitigation Techniques in Critical Environments
- Inter-institutional Coordination: Design and Implementation of Communication and Effective Collaboration Protocols Among Civilian, Military, and Private Sector Organizations
- Comprehensive Resource Management in Emergencies: Capacity Assessment, Dynamic Allocation, and Logistics Optimization in Multi-Stakeholder Scenarios
- Tactical and Operational Planning in Complex Incidents: Agile Methodologies for the Development, Execution, and Adjustment of Real-Time Response Plans
- Building and Leading Multidisciplinary Teams: Strategies to Enhance Performance, Resilience, and Cohesion in Highly Uncertain Situations
- Use of Information and Communication Technologies (ICTs) in Crisis Management: Command and Control Systems, Interoperable Platforms, and Analytics
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- Stress Management and Operational Well-being: Psychological Techniques Applied to Leaders and Teams in Prolonged Emergencies
- Business Continuity Planning and Essential Operations: Designing Robust Plans to Ensure Rapid and Sustainable Post-Incident Recovery
- Advanced Case Studies: Critical Analysis of Landmark Incidents, Lessons Learned, and Application of Best Practices in Tactical and Operational Management
- Fundamentals of Crisis Communication: Theories and Models Applied to Emergency Management
- Information Protocols: Design and Application of Standardized Structures for Efficient Data Transmission in Critical Situations
- Digital and Technological Tools for Real-Time Monitoring and Dissemination: Communication Platforms, Alert Systems, and Social Networks
- Information Management: Collection, Validation, Analysis, and Distribution Under Pressure and in Dynamic Environments
- The Role of Official Spokespersons: Training, Media Relations, and Strategic Discourse for Controlling the Public Narrative
- Real-Time Decision-Making: Advanced Methodologies for Assessing Risks, Prioritizing Resources, and Anticipating Scenarios Using Situational Intelligence
- Inter-Institutional Integration: Coordination Among Public, Private, and Security Agencies for Fluid and Coherent Communication
- Cybersecurity in crisis management: prevention, protection, and response to cyberattacks that compromise information or critical infrastructure
- Analysis of real-world cases and simulations of communication management in complex crises: applied learning and development of continuous improvement plans
- Ethics and social responsibility in crisis communication: transparency, managing uncertainty, and mitigating psychosocial impacts
- Fundamentals of data analysis in crisis management: key concepts, data types, and primary and secondary sources in emergency environments
- Advanced data collection and preprocessing tools: cleaning, normalization, imputation, and anomaly detection in critical contexts
- Descriptive and predictive statistical models applied to complex crises: regression, time series, survival analysis, and multivariate analysis
- Machine learning and artificial intelligence techniques for the early prediction of critical events: supervised and unsupervised algorithms, random forests, SVM, and neural networks
- Implementation of early warning systems based on predictive models: design, calibration, validation, and dynamic adaptation to new information sources
- Risk assessment and intervention prioritization using quantitative analysis: conditional probabilities, Monte Carlo simulations, and scenario analysis
- Integration of predictive models with systems of Geographic Information Systems (GIS) for real-time crisis visualization and monitoring
Automation and optimization of decision-making through computational intelligence techniques: genetic algorithms, expert systems, and fuzzy logic
Practical case studies: application of predictive models in natural disasters, pandemics, social conflicts, and technological failures
Ethical and legal aspects of data management during emergencies: privacy, information security, and international regulations
Development of dashboards and control panels for comprehensive crisis management: key performance indicators (KPIs) and real-time operational metrics
Leadership and communication skills for the efficient interpretation and dissemination of predictive analytics among interdisciplinary teams and strategic decision-makers
Specialized software tools for advanced data analysis and simulations in crisis management: R, Python, MATLAB, and GIS platforms
- Maintenance, updating, and continuous improvement of predictive models in response to the dynamic evolution of crisis scenarios
- Design and implementation of early intervention protocols based on quantitative evidence to minimize impact and optimize resources
- Fundamentals of Crisis Management: definition, typologies, phases, and essential characteristics in emergency contexts.
- Advanced models of decision-making under pressure: cognitive theories, heuristics, biases, and their impact on operational effectiveness.
- Predictive Models and Simulation: application of predictive analytics, machine learning, and statistical algorithms to anticipate crisis scenarios.
- Integration of Big Data and Real-Time Analytics: data sources, processing, visualization, and support for strategic decisions.
- Geographic Information Systems (GIS) and advanced georeferencing for tactical planning and response in emergencies.
- Disruptive Technologies Applied to Crisis Management: artificial intelligence, drones, IoT, and blockchain to improve resilience and multi-sectoral coordination.
- Architectures and Platforms
- Technological for data and communications interoperability in multidisciplinary crisis management operations.
- Development and evaluation of automated response protocols supported by predictive technologies and early warning systems.
- Decision Support Tools (DSS) and their configuration for dynamic environments and high uncertainty during emergencies.
- Applied case studies: analysis of complex incidents with a focus on technological implementation and organizational learning.
- Fundamental concepts of integrated risk management: definitions, typologies, and levels of analysis
- Advanced methodologies for the qualitative and quantitative assessment of risks in complex environments
- Vulnerability mapping tools: Geographic Information Systems (GIS), multi-criteria analysis, and spatial modeling
- Identification and characterization of natural, technological, and social hazards in contexts of high uncertainty
- Development of dynamic risk maps for the visualization and real-time updating of critical scenarios
- International reference frameworks for risk and vulnerability management (Sendai Framework, ISO 31000, NIST)
- Design and implementation of comprehensive early response and adaptive mitigation plans
- Protocols for inter-institutional coordination and communication in chains of command during emergencies
- Crisis cycle management: Preparedness, Response, Recovery, and Continuous Learning
Application of emerging technologies for monitoring and early warning in critical events (IoT, big data, artificial intelligence)
Analysis of real-world cases and advanced simulations of multiple and interconnected emergency scenarios
Integration of human, cultural, and socioeconomic factors in vulnerability assessment
Strategic planning for the efficient allocation of resources in situations of high demand and operational constraints
Metrics and KPIs for measuring performance in risk management and response effectiveness
Establishment of knowledge management systems and protocols for documenting and transferring lessons learned
- Theoretical and practical foundations of advanced crisis management: definition, classification, and analysis of multidimensional scenarios
- Predictive models and stochastic simulation applied to decision-making in emergencies: modeling techniques, algorithms, and real-time application
- Artificial intelligence and machine learning as disruptive tools in anticipating and managing complex crises
- Integrated Decision Support Systems (DSS): architecture, interoperability, and adaptability in dynamic and volatile environments
- Big Data and advanced analytics for risk assessment, pattern identification, and resource optimization in critical situations
- Implementation of predictive analytics algorithms for early emergency detection and forecasting of future scenarios
- Intelligent automation and robotics applied to responding to highly complex emergencies: drones, autonomous vehicles, and remote systems
- Integration of disruptive technologies: blockchain for Traceability, IoT for real-time monitoring, and advanced communications
Managing critical information under conditions of high uncertainty: protocols, cybersecurity, and handling of sensitive data
Developing strategic plans based on predictive models: evaluation, validation, and continuous adjustment through operational feedback
Multi-criteria analysis and game theory applied to collaborative decision-making in crises with multiple stakeholders
Simulation methodologies and immersive training for preparing and optimizing responses in complex emergencies
Study of real-world cases and international best practices in the application of advanced technology for crisis management
Ethical and legal dimensions in the use of disruptive technologies for decision-making in emergency contexts
Developing skills to lead multidisciplinary teams in complex technological environments and under pressure
- Fundamentals and theoretical framework of crisis management: definitions, typologies, and intervention models in complex emergency situations
- Advanced methodologies for developing comprehensive decision-making models: multi-criteria analysis, decision theory under uncertainty, and adaptive models
- Integration of predictive analytics in crisis management: machine learning, big data, and data mining techniques applied to anticipating critical events
- Application of disruptive technologies in emergencies: artificial intelligence, IoT, drones, and autonomous systems for real-time data collection and processing
- Design and validation of early warning systems based on historical and real-time data: predictive algorithms and probabilistic models
- Modular architecture of digital platforms for integrated incident management and collaborative decision-making under high-pressure conditions
- Dynamic risk assessment using simulations and digital twins to facilitate scenario visualization and Strategic planning in crisis situations
Inter-institutional communication and coordination protocols supported by disruptive technologies to improve interoperability and organizational resilience
Critical analysis and mitigation of cognitive biases in decision-making during emergencies using advanced computational support tools
Final project: design, implementation, and presentation of an innovative crisis decision-making model based on advanced technological integration and predictive analytics, with practical application in real-world cases
Career prospects
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- Emergency Manager: Planning, coordination, and response to crises in various sectors (natural, industrial, etc.).
- Risk Analyst: Identification, assessment, and mitigation of risks in public and private organizations.
- Crisis Management Consultant: Advising companies and institutions on the development of contingency plans and action protocols.
- Security Manager: Design and implementation of security measures to protect people, property, and information.
- Emergency Plans Director: Leadership and coordination of response teams in crisis situations.
- Business Continuity Specialist: Development and maintenance of plans to ensure business operations in the event of disruptions.
- Incident Investigator: Analysis of the causes of accidents and disasters to prevent future events.
- Crisis Management Trainer: Design and delivery of courses and workshops on emergency prevention and response.
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Entry requirements
Academic/professional profile:
Bachelor’s degree in Nautical Science/Maritime Transport, Naval/Marine Engineering or a related qualification; or proven professional experience on the bridge/in operations.
Language proficiency:
Functional Maritime English (SMCP) recommended for simulations and technical materials.
Documentation:
Updated CV, copy of qualification or seaman’s book, national ID/passport, motivation letter.
Technical requirements (for online):
Device with camera/microphone, stable internet connection, monitor ≥ 24” recommended for ECDIS/Radar-ARPA.
Admissions process and dates
Online
application
(form + documents).
Academic review and interview
Admissions decision
Admissions decision
(+ scholarship offer if applicable).
Place reservation
(deposit) and enrolment.
Induction
(access to the virtual campus, calendars, simulator guides).
Scholarships and financial support
- Predictive Analytics: Anticipate critical scenarios with modeling and simulation techniques for proactive management.
- Strategic Decision Making: Master decision-making frameworks under pressure, optimizing real-time response and minimizing impact.
- Crisis Communication: Learn to manage information and public perception, building trust and transparency during an emergency.
- Organizational Resilience: Strengthen your organization’s ability to recover quickly, ensuring operational continuity after a crisis.
- Emergency Leadership: Develop leadership skills to guide teams and coordinate resources in high-pressure environments. tension.
Testimonials
This master’s program provided me with the tools and theoretical framework to effectively manage an international logistics crisis in my company. By applying the principles of risk analysis, strategic communication, and leadership in high-pressure situations, we minimized losses and restored operations in record time, exceeding the board of directors’ expectations.
The Master’s in Leadership & Captain Training provided me with the tools and perspectives necessary to propel my team to exceed their sales targets by 20% in just six months. I learned to delegate effectively, foster communication, and motivate each member to reach their full potential, creating a collaborative and highly productive work environment.
“This master’s program provided me with the tools and analytical framework necessary to effectively manage an international logistics crisis in my company. Thanks to the simulations and the program’s practical approach, I was able to implement a contingency plan that minimized losses and protected the organization’s reputation. The ability to make quick and accurate decisions under pressure, developed during the course, was fundamental to the operation’s success.”
“I applied the risk analysis methodologies I learned in the Master’s program during the forest fire that affected our region. Thanks to scenario planning and practice in decision-making under pressure, we were able to coordinate the safe and efficient evacuation of more than 500 people, minimizing material losses and, most importantly, without any fatalities. The Master’s program provided me with the tools and confidence necessary to successfully lead such a complex situation.”
Frequently asked questions
Develop skills and knowledge for effective crisis management and strategic decision-making in emergency situations.
Yes. The itinerary includes ECDIS/Radar-ARPA/BRM with harbor, ocean, fog, storm, and SAR scenarios.
Online with live sessions; hybrid option for simulator/practical placements through agreements.
Professionals from the public and private sectors with responsibilities in risk management, security, civil protection, security forces, crisis communication, and emergency services, as well as consultants and analysts interested in crisis management.
Recommended functional SMCP. We offer support materials for standard phraseology.
Yes, with a relevant degree or experience in maritime/port operations. The admissions interview will confirm suitability.
Optional (3–6 months) through Companies & Collaborations and the Alumni Network.
Simulator practice (rubrics), defeat plans, SOPs, checklists, micro-tests and applied TFM.
A degree from Navalis Magna University + operational portfolio (tracks, SOPs, reports and KPIs) useful for audits and employment.
- Fundamentals and theoretical framework of crisis management: definitions, typologies, and intervention models in complex emergency situations
- Advanced methodologies for developing comprehensive decision-making models: multi-criteria analysis, decision theory under uncertainty, and adaptive models
- Integration of predictive analytics in crisis management: machine learning, big data, and data mining techniques applied to anticipating critical events
- Application of disruptive technologies in emergencies: artificial intelligence, IoT, drones, and autonomous systems for real-time data collection and processing
- Design and validation of early warning systems based on historical and real-time data: predictive algorithms and probabilistic models
- Modular architecture of digital platforms for integrated incident management and collaborative decision-making under high-pressure conditions
- Dynamic risk assessment using simulations and digital twins to facilitate scenario visualization and Strategic planning in crisis situations
Inter-institutional communication and coordination protocols supported by disruptive technologies to improve interoperability and organizational resilience
Critical analysis and mitigation of cognitive biases in decision-making during emergencies using advanced computational support tools
Final project: design, implementation, and presentation of an innovative crisis decision-making model based on advanced technological integration and predictive analytics, with practical application in real-world cases
Request information
Complete the Application Form.
Attach your CV/degree certificate (if you have it to hand).
Indicate your preferred cohort (January/May/September) and whether you would like the hybrid option with simulator sessions.
An academic advisor will contact you within 24–48 hours to guide you through the admission process, scholarships, and compatibility with your professional schedule.
Faculty
Eng. Tomás Riera
Full Professor
Eng. Tomás Riera
Full Professor
Naval engineer specializing in the selection, integration, and optimization of propulsion systems for yachts, high-speed craft, and service vessels.
Eng. Sofía Marquina
Full Professor
Eng. Sofía Marquina
Full Professor
Materials engineer specializing in marine composites and corrosion protection systems for ships, yachts, and port structures.
Eng. Javier Bañuls
Full Professor
Eng. Javier Bañuls
Full Professor
Naval electrical engineer with over fifteen years of experience in the design, integration, and operation of power and automation systems.
Dr. Nuria Llobregat
Full Professor
Dr. Nuria Llobregat
Full Professor
Specialist in meteorological and operational decision-making for coastal and offshore navigation, integrating wind, wave, and current models.
Dr. Pau Ferrer
Full Professor
Dr. Pau Ferrer
Full Professor
Naval engineer with a PhD in applied hydrodynamics and over a decade of experience designing high-performance hulls and marine structures.
Cap. Javier Abaroa (MCA)
Full Professor
Cap. Javier Abaroa (MCA)
Full Professor
MCA-certified captain with command of ocean-going vessels, specializing in advanced maneuvering, navigation management, and bridge safety.