Fees and funding

Fees

Fees for entry in 2027 have not yet been set. For reference, the fees for the academic year beginning September 2026 were as follows:

  • MSc (full-time)
    UK students (per annum): £14,700
    International, including EU, students (per annum): £30,700
  • MSc (part-time)
    UK students (per annum): £7,350
    International, including EU, students (per annum): £15,350

The fees quoted above are fully inclusive of tuition, administration and computational costs.

Fees for entry are subject to yearly review. The University reserves the right to increase your tuition fee by up to 7% each year for courses lasting more than one year, including to reflect rising costs associated with delivering our educational and wider student experience. Postgraduate fees information .

Always contact the admissions team if you are unsure which fee applies to your qualification award and method of attendance.

International student CAS deposit

Self-funded international applicants are required to pay a deposit of £2500 towards their tuition fees before a confirmation of acceptance for studies (CAS) is issued. Some applicants will be required to pay a higher deposit. More information on tuition fee deposits .

Policy on additional costs

All students should normally be able to complete their programme of study without incurring additional study costs over and above the tuition fee for that programme. Any unavoidable additional compulsory costs totalling more than 1% of the annual home undergraduate fee per annum, regardless of whether the programme in question is undergraduate or postgraduate taught, will be made clear to you at the point of application. Further information can be found in the University's Policy on additional costs incurred by students on undergraduate and postgraduate taught programmes (PDF document, 91KB).

Scholarships/sponsorships

We know that student finance can be complicated. The links below provide further information to help guide you.

Course unit details:
Systemic Approaches to Disaster Management

Course unit fact file
Unit code HCRI63222
Credit rating 15
Unit level FHEQ level 7 – master's degree or fourth year of an integrated master's degree
Teaching period(s) Semester 2
Offered by Humanitarian Conflict Response Institute
Available as a free choice unit? Yes

Overview

Despite the massive knowledge accumulated about disasters, emergency responders are still overwhelmed by the unprecedented complexity of current disasters. The recent pandemic made it clear that our existing approach to managing disasters is not effective. Governments and international organisations started to call for new approaches to address such crises and to recover our societies and systems to become more resilient and sustainable. In contrast to the conventional approach to managing typical disasters, managing highly complex disasters requires adopting a multi-disciplinary approach. The management sciences and operational research offer valuable theories and tools to facilitate more effective decision-making and problem-solving approach when mitigating, preparing, responding, and recovering from disasters. This module introduces students to new ways of analysing complex problems such as disasters using a management and soft operations perspective. The module equips students with theory, methodologies, techniques and tools that facilitate problem-solving and analysis in highly complex and uncertain contexts. Students will appreciate the difference between complicated and complex problems, and the inter-connectivity and mutual influence of communities and organisations as part of a wider environment. Students are expected to develop their decision-making, management, and modelling skills. This module does not require mathematical skills. It is designed for a wider audience who have no previous knowledge of management. The module is engaging and involves exercises, discussions, and activities. These activities and discussions are designed to develop personal and teamwork skills that are sought after in the job market. 

Aims

  • Introduce students to systems-thinking theories as a way to analyse, understand, and make decisions before and during disasters.
  • Develop students’ problem solving, decision-making and analytical skills.
  • Deepen students’ understanding of the complex operational problems that face disaster responders.
  • Provide the students with practical experience of how to use their system thinking knowledge in analysing complex problems.

 

Teaching and learning methods

  • Lectorials: Involve one or more teaching methods (lectures, seminars, workshops, and roleplays) in each session.
  • Teamwork and group discussions using systematic methods (e.g. rich pictures and affinity diagrams).
  • Case study analysis
  • Interactive exercises and roleplay simulations
  • Teamwork -Roleplay

Knowledge and understanding

  • Be able to critically, systemically, and systematically analyse complex problems.
  • Obtain an inclusive and holistic perspective to understanding and analysing social problems.
  • Appreciate the importance of multi-disciplinary approaches in solving complex problems. · Improve teamwork skills by working on mini group projects.
  • Obtain different decision-making and problem-solving tools that can be used in professional contexts.

Intellectual skills

  • Critical and analytical skills.
  • Holistic and in-depth analysis of complex and dynamic problems and situations.
  • Systematic and robust decision making.
  • Innovative, creative, and strategic thinking.
  • Qualitative analysis through exercises and activities.
  • Ability to refer to literatures from different disciplines to solve problems.

Practical skills

  • Ability to work in teams to analyse and solve problems.
  • Written and presentation skills.
  • Ability to implement a variety of decision-making tools in different contexts.
  • Qualitative analysis

Transferable skills and personal qualities

  • Analytical and critical skills.

  • Teamwork

  • Appreciation of others’ perspectives.

  • Ability to use a range of problem-solving tools and models.

  • Written and presentational skills.

 

Employability skills

Other
· Reporting skills. · Experience how problem-solving workshops and meetings are facilitated. · Appreciation of a bottom-up management approach. · Holistic perspective to problems. · Strategic skills by analysing the feasibility of management decisions from an operational perspective. · Understand and analyse organisational structures. · Ability to use a range of problem-solving tools and models.

Assessment methods

Assessment TaskFormative or SummativeWeighting
Feedback on weekly presentations, on group discussion and reflectionsFormativeN/A
Group PresentationSummative65%
Reflective PieceSummative10%
Written EssaySummative25%

 

Feedback methods

Feedback method

Formative or Summative

Feedback from observation during  activities, simulations and presentations. The feedback will focus on skills and knowledge that will be needed in the different forms of summative assessment (e.g. presentation skills, technical feedback, critical thinking, and reflection).

Formative

Mid-course student evaluation of learning – verbal feedback in tutorials (individual and group)

Formative

Written

Summative

Presentations

Summative

Recommended reading

Simonovic, S. P. (2011). Systems Approach to Management of Disasters: Methods and Applications. Wiley.

Altay, N., & Green, W. G. (2006). OR/MS research in disaster operations management. European Journal of Operational Research, 175(1), 475–493. https://doi.org/10.1016/J.EJOR.2005.05.016 

Reissberg, A. C. (2012). Managing Natural Catastrophies: Viable Systems to prevent human tragedy-the Hawai’ian example. Frankfurt/New York: Campus Verlag Gmbh.

Preece, G., Shaw, D., & Hayashi, H. (2015). Application of the Viable System Model to analyse communications structures: A case study of disaster response in Japan. European Journal of Operational Research, 243, 312–322.

Checkland, P. (1993). Systems thinking, systems practice. In Systems Thinking, System Practice: Includes a 30-year retrospective (p. i–xiv, 3-330). Chichester: John Wiley.

Cooke, D. L. (2003), A system dynamics analysis of the Westray mine disaster. Syst. Dyn. Rev., 19: 139-166. doi:10.1002/sdr.268

Pidd, M. (2009). Tools for Thinking: Modelling in Management Science (3rd ed.). Chichester, UK: John Wiley & Sons Ltd.

Hollnagel, E. (2015). Disaster Management, Control, and Resilience. In A. Masys (Ed.), Disaster Management Enabling Resilience. Cham: Springer International Publishing. https://doi.org/10.1007/978-3-319-08819-8 

Powell, J. H., Mustafee, N., Chen, A. S., & Hammond, M. (2016). System-focused risk identification and assessment for disaster preparedness: Dynamic threat analysis. European Journal of Operational Research, 254(2), 550–564. https://doi.org/10.1016/J.EJOR.2016.04.037 

Weaver, M. W., Crossan, K., Tan, H. B., & Paxton, S. E. (2018). A systems approach to understanding the perspectives in the changing landscape of responsible business in Scotland. European Journal of Operational Research, 268(3), 1149–1167. https://doi.org/https://doi.org/10.1016/j.ejor.2017.11.050 

Kreps, G. A., & Bosworth, S. L. (2007). Organizational Adaptation to Disaster. In H. Rodriguez, E. L. Quarantelli, & R. R. Dynes (Eds.), Handbook of Disaster Research (pp. 297–315). New York: Springer Science+Business Media, LLC.

Holling, C. S. (2001). Understanding the complexity of economic, ecological, and social systems. Ecosystems, 4(5), 390–405. https://doi.org/10.1007/s10021-001-0101-5 

Study hours

Scheduled activity hours
Seminars 30
Independent study hours
Independent study 120

Teaching staff

Staff member Role
Ayham Fattoum Unit coordinator

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