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Security and Crime Science

Crime Science uses evidence-based information together with scientific approaches and methods to reduce crime and threats to security.

Security and Crime Science is a multidisciplinary subject and draws upon such subjects as Computer Science, Geographic Information Systems, Political Studies, Population Studies, Psychology, and Statistics.

Security and Crime Science can be studied via the Master of Security and Crime Science (MSCS) or the Postgraduate Diploma in Security and Crime Science (PGDip(SCS)).

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Study Security and Crime Science in these qualifications

Security and Crime Science as a specialisation of

Prescriptions for the PGDip(SCS) and MSCS

Unless a student is approved to take ISCS594, the compulsory papers for the Master of Security and Crime Science degree are ISCS501, ISCS502, IRSST505, MAORI518, PSYCH544 and the 60 point dissertation ISCS592.

To complete a PGDip(SCS), students will need to complete 120 points at 500 level consisting of the papers prescribed for the 180 point Master of Security and Crime Science with the exception of the 60 point dissertation.

Students enrolled in a 180 point Master of Security and Crime Science will take the compulsory papers and another 45 points of papers from those prescribed in the Security and Crime Science entry in the University of Waikato Catalogue of Papers.

Depending on their previous study, students who have an honours degree or a postgraduate diploma may be given a waiver on 15 points of the compulsory taught papers required for the Master of Security and Crime Science.

500 Level

Code Paper Title Occurrence / Location
COMPX502Cryptography19B (Hamilton)
An introduction to cryptographic methods.
COMPX518Cyber Security19A (Hamilton)
This paper introduces the key topics in the important field of cyber security. It will cover a range of topics relating to defensive security (e.g. malware analysis, social engineering, intrusion detection and prevention), offensive security (e.g. pen testing, Web app security) and preventative security (e.g. cryptography, applied ...
COMPX521Advanced Machine Learning19A (Hamilton)
This paper exposes students to more advanced topics in machine learning. Rule induction, numeric prediction, clustering and state-of-the-art ensemble learning methods are among the topics covered.
COMPX532Information Visualisation19A (Hamilton)
This paper aims to provide an awareness of the potential offered by information visualisation techniques, a familiarity with the underlying concepts, and an understanding and ability to effectively design and apply information visualisations in a given context.
GEOGY538Automated Spatial Analysis using Geographic Information Systems19C (Block)
Automated techniques are the most practical method for the spatial analysis of large data sets. In this paper, students are introduced to program scripts for automated GIS analysis, which is extremely powerful compared to the 'point and click' environment, and is an area of expertise expected of GIS experts. An important part of th...
GEOGY548Advanced Geographic Information Systems Modelling19C (Block)
This paper provides a close examination of contemporary GIS modelling. GIS is used for a range of applications and in this paper students gain practical experience and understanding of many of these. Students are given the opportunity to develop GIS models in their choice of application.
GEOGY558Applied Geographic Information Systems for Research and Planning19A (Hamilton)
This paper is designed as an introduction to GIS for graduate students. Students learn about the use of GIS for spatial analysis and cartographic visualisation. Students gain 'hand on' experience with GIS laboratory exercises and undertake a graduate-level GIS project in an application of their choice.
IRSST505International Security, Strategy and Technology19A (Hamilton)
This course offers an introduction to Strategic Studies with particular emphasis on how developments in science and technology affect warfare, conflict, and the use of force in international relations.
IRSST507Cyber Security and Cyber Warfare19B (Hamilton)
This course examines the poltical, strategic, legal and economic debates around cyber security and cyber warfare. Particular emphasis is placed on how militaries, national security agencies, and law enforcement are adapting to online threats and incorporating cyber in their strategic planning.
ISCS501Foundations of Security and Crime Science 119A (Hamilton)
This paper introduces key theories and analytical techniques that support security and crime responses by police, government departments, and industry.
ISCS502Foundations of Security and Crime Science 219B (Hamilton)
This paper enables the practical application of Security and Crime Science theories within an operational context by police, Government departments, and industry.
ISCS592Dissertation19C (Hamilton)
Students undertake a research dissertation in the subject area of Security and Crime Science.
ISCS594Security and Crime Science Thesis19C (Hamilton)
This is a research project in the area of Security and Crime Science. The research work will be written up in a thesis.
MAORI518Māori, Indigeneity and Criminal Justice19A (Hamilton)
This paper provides a critical analysis of Maori and Indigenous-based practices and criminal justice systems, including the State's constitutional obligations to its Indigenous citizens, and Maori and Indigenous alternative juridical approaches.
PSYCH544Psychology of Security and Crime Science19B (Hamilton)
This paper introduce students to key psychological explanations of criminal events and criminality, and emerging topics in psychological crime science.
PSYCH580The Psychology of Criminal Conduct19B (Hamilton)
Over recent years correctional psychology has been developing into a specialised discipline with strong career paths for clinicians and researchers. This paper is designed to introduce individuals to the theory and practice of psychology applied to the analysis, prevention, assessment, and treatment of criminal behaviour.

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Contacts

Faculty of Computing & Mathematical Sciences

Phone: 0800 924 528 ext: 4322 or +64 7 838 4322
Email: cms@waikato.ac.nz
Website: cms.waikato.ac.nz
Facebook: facebook.com/WaikatoFCMS

Faculty of Arts and Social Sciences

Phone: 0800 800 145 or +64 7 838 4080
Email: wfass@waikato.ac.nz