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Master of Social Science in Disaster and Human Security Management

  • Outline
  • Admission Criteria
  • General Guideline
  • Course List

Faculty: Faculty of Arts & Social Science (FASS)

Department: Department of Disaster Management & Resilience

Program: Master of Social Science in Disaster and Human Security Management

Course Outline

Objective

• Produce trained and skilled personnel and processionals of Disaster Management & Resilience.

• Developing Leadership in the field of Disaster Management & Resilience.

• Create a centre of excellence for research and capacity building in the field of climate change and disaster management.

Mission

The Mission is to equip and empower students with the technical expertise, critical thinking, and experiences required as scholars and practitioners to be competent in a rapidly changing disaster management environment. In addition, the M.S.S program prepares students for high-level professional careers in government and industry or further study for the Ph.D. degree. This program allows students the choice of a range of courses and these career-focused courses will permit the students to become professionals in a range of cutting-edge occupations.

Vision

The ultimate vision is to develop future disaster professionals to conceptualize and strategies to address real world problems by bridging theoretical and practical skills in understanding risks.

Applied only for students, completed undergraduation from BUP.

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1st Semester

Objectives

  • • To develop an understanding of Spatial Analysis
  • • To develop an understanding of various data models in GIS and uncertainty.
  • • To develop ability of data analysis, modification, display and present at advance level.
  • • To develop an understanding of various data analysis methods in GIS environment.

Outcomes

  • • Use GIS to identify, explore, understand, and solve spatial patterns and problems
  • • Demonstrate GIS modelling skills
  • • Demonstrate critical thinking skills in solving geospatial problems.
  • • Demonstrate competency with the ArcMap software to enhance and interpret data Use queries in GIS Analysis Formulate applications of GIS technology.

References

  • This course is internal course, therefore, no reference is applicable.

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Objectives

  • Main Objectives of the course are:  to understand the concepts of hazard assessment  to learn various methods for vulnerability assessment  to learn the formulation process of spatial data for risk assessment  to generate risk maps using qualitative and quantitative methods

Outcomes

  • Course Outcome of Hazard and Vulnerability Assessment (DHSM-5105)

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Objectives

  • • To develop an understanding of spatial statistics
  • • To develop an understanding of data distribution and patterns.
  • • To develop an understanding of various statistical methods for data analysis.
  • • To develop ability of perform statistical analysis in different spatial software.

Outcomes

  • • Distinguish different types of spatial data (geostatistical, areal, point process) and understand how spatial autocorrelation plays a role in statistical modeling.
  • • Use existing methods to investigate spatial autocorrelation in example datasets pro- vided as exercises.
  • • Determine which spatial methods to use to in their own research and implement them using statistical software and GIS.
  • • Read and discuss new methods in the spatial statistics literature based on an under- standing of the basic spatial statistics approaches, principles and main assumptions

References

  • This course is internal course, therefore, no reference is applicable.

Objectives

  • The primary objective of this course is to develop an understanding of basic concepts of RS. Some other objectives of the course are: • To develop an understanding of Remote Sensing • To develop an understanding of various data models. • To identify various sources of information for data collection. • To develop an understanding of various data analysis methods in ENVI environment. • To develop ability of data display and cartographic sense.

Outcomes

References

  • Richards, John A. and Xiuping Jia (2006) Remote Sensing Digital Image Analysis: An Introduction [4th Edition]. Berlin Heidelberg New York: Springer. ISBN: 978-3-540-25128-6
  • Weng, Qihao (2010) Remote Sensing and GIS Integration: Theories, Methods, and Application. New York: McGraw Hill. ISBN: 978-0-07-160654-7
  • Campbell, J. B. and R. H. Wynne (2011) Introduction to Remote Sensing [5th Edition]. New York: The Guildford Press. ISBN: 978-1-60918-176-5.

Objectives

  • To provide the students with a deeper understanding of disaster management and science with the theories and methodologies that make up its practice.
  • To provide the students with a master’s level knowledge of the academic literature.
  • To emphasis on knowledge grounded within the research.

Outcomes

  • Assess concepts typically associated with scientific research and literature on disaster management and science
  • Analyze the scholarly works of scientific researcher with respect to disaster management and science
  • Evaluate the impacts of theory (abstract) on operations (reality)
  • Synthesize the lessons to be learned from a large body of research and writing

References

  • Etkin, D., 2015. Disaster Theory.
  • Asgary A., 2005. Technological Disasters’ Cost/loss Data: Current Issues and Future Challenges. 2nd Toulouse–Montreal Conference: The Law, Economics and Management of Large-Scale Risks, September 30 to October 1, 2005, Montreal, Canada.
  • Twigg, J., 2015. Disaster Risk Reduction. Overseas Development Institute.
  • USAID Disaster Risk Reduction Training Course for Southern Africa., 2011. Introduction to Disaster Risk Reduction.
  • The National Academies (2012). Disaster resilience: A national imperative. Washington DC: The National Academies Press.
  • The World Bank (2010). Natural hazards, unnatural disasters. Washington DC: The World Bank.
  • Quarantelli, E.L., 1987. Disaster Studies: An Analysis of Social Historical Factors Affecting the Development of Research in the Area.

2nd Semester

Objectives

  • • To develop understanding of Exposure, Vulnerability and thus Risk.
  • • To develop an understanding of modeling from risk stance, considering statistical computation.
  • • To identify various sources of risk and hazard model available in practice.
  • • To develop ability of design, develop, and validate models.
  • • To develop an understanding of various model generation methods in GIS and python coding.

Outcomes

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References

  • This course is internal course, therefore, no reference is applicable.

Objectives

  • – To understand the current disaster management and resilience research and prac-tice fields.

Outcomes

  • – assess and analyze disaster risk, its components, driving factors, different disaster risk reduction approaches.
  • – apply detailed knowledge of policy and approaches for disaster risk reduction, disas-ter preparedness, and disaster recovery stage.
  • – assess complexity and interaction and developing, monitoring and evaluating resili-ence in processes, systems, organizations and communities at risk from known and emergent threats in a sustainable way.

References

  • Disaster management: enabling resilience
  • Strengthening the resilience of an economy
  • On some recent definitions and analysis frameworks for risk, vulnerability, and resilience.
  • Vulnerability and resilience in natural disasters. a marketing and public policy perspective.
  • Understanding uncertainty and reducing vulnerability: lessons from resil- ience thinking
  • Multi-agent based disaster management system: a review
  • Disaster risk reduction and ‘built-in’ resilience: towards over- arching principles for construction practice.

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  • The learning objective of this course is to provide the students with the basic idea of the relationship between disasters and different types of genders as well as gender related challenges and policies that deals with disaster management and disaster risk reduction.

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References

  • 1. Feminist Theories
  • 2. Gender Vulnerability
  • 3.Gender Based Violence

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