Postgraduate

GISC404
Spatial Analysis
Description
This course provides an introduction to a range of statistical techniques used in the analysis of spatial data. A comprehensive lab programme uses a variety of software packages to explore visualisation, exploratory spatial data analysis, spatial autocorrelation, point pattern analysis, spatial statistics and the modifiable areal unit problem (MAUP).
Occurrences
Semester One 2025
Points
15 points
Prerequisites
Subject to the approval of the Programme Director. RP: GEOG-DIGI205 or GISC422 or equivalent, GEOG323
GISC412
Advanced Methods in Geospatial Data Science
Description
This course develops skills in geospatial data science and is designed to form understanding of fundamental algorithms and code libraries that are used to manipulate, analyse, and map spatial data, and to explore how they are implemented. Students will use the Python programming language. The course is largely lab and project based, with context and theoretical frameworks presented in lectures while labs guide hands-on development.
Occurrences
Semester Two 2025
Points
15 points
Prerequisites
GISC401 or COSC121 or COSC480 or equivalent
Restrictions
GEOG324
DATA415
Computational Social Choice
Description
This course provides a thorough introduction to both classical and computational social choice. Social choice theory is the study of mechanisms for collective decision making, such as voting rules or protocols for fair division. Computational social choice addresses problems at the interface of social choice theory with computer science, it uses concepts from social choice theory in the presence of big datasets. This course will introduce some of the fundamental concepts in social choice theory and how they are used in today's data science. The topics covered include material in voting theory, preference aggregation, judgment aggregation, and fair division.
Occurrences
Semester Two 2025
Semester Two 2025 (Distance)
Points
15 points
Prerequisites
Subject to approval of the Head of Department of Mathematics and Statistics.
DATA416
Contemporary Issues in Data Science
Description
This course focuses on the technical challenges in data science that societal and regulatory actions pose. It aims to introduce students the often very different and sometimes even conflicting perspectives from which policymakers and the technical community approaches these problems. We will review and discuss different examples from different areas of data science such as the extent to which machine learning and deep learning techniques conform with GDPR regulations on transparency, explainability, and accountability; impossibility theorems showing off the limits of data science methods; the mathematical foundations and data science techniques for mechanism design in order to manipulate beliefs (represented as transitive, anti-symmetric, and complete binary relations); and provide students as potential future product developers with the necessary knowledge to engage in responsible product development practices that are informed by regulatory requirements and expectations. This course develops students' understanding of the role of data science in decision making and the impact of data science in the design of AI systems. The course reflects the main issues of controversy identified in international policy debates.
Occurrences
Semester One 2025
Semester One 2025 (Distance)
Points
15 points
Prerequisites
Subject to approval of the Head of Department of Mathematics and Statistics.
COSC421
Advanced Topics in Security
Description
This course will cover the wide-ranging issues on advanced topics in computer, network, and systems security. Students will learn from security fundamentals to advanced topics in security.
Occurrences
Semester One 2025
Points
15 points
Prerequisites
(1) COSC362 and (2) subject to approval by the Head of Department
DATA422
Data Wrangling for Data Science
Description
This course develop students skills in data cleaning and processing, data integration techniques and implementing data wrangling workflows for a real world datasets.
Occurrences
Semester Two 2025
Semester Two 2025 (Distance)
Points
15 points
Prerequisites
Subject to approval of the Head of Department of Mathematics and Statistics.
GISC422
Foundations of Geographic Information Systems
Description
Geographic Information Systems (GIS) provide the tools for gathering, managing, analysing and presenting spatial information in an intuitive and graphical way. This course provides students with an introduction to the fundamental concepts, principles and techniques of GIS.
Occurrences
Semester One 2025
Points
15 points
Prerequisites
RP: Undergraduate degree or diploma
Restrictions
GEOG205; DIGI205
DATA423
Data Science in Industry
Description
In this course we will address core topics in the application of data science in industry.
Occurrences
Semester One 2025
Semester One 2025 (Distance)
Semester Two 2025
Semester Two 2025 (Distance)
Points
15 points
Prerequisites
Subject to approval of the Head of Department of Mathematics and Statistics.
DATA425
Foundations of Deep Learning
Description
The aim of this course is to introduce students to foundational concepts of deep neural networks. The focus of this course is on both fundamental and applied methods in deep neural networks. A range of topics from convolutional and recurrent type networks to neural-network generative models and attention mechanisms will be introduced.
Occurrences
Semester One 2025
Points
15 points
Prerequisites
Subject to HoS approval
Restrictions
DATA473
COSC428
Computer Vision
Description
This course covers advanced techniques and algorithms used in real-time 3D computer vision, image processing and deep learning - from medical imaging to intelligent autonomous UAV/robot vision.
Occurrences
Semester One 2025
Points
15 points
Prerequisites
(1) 30 points of 300-level COSC/SENG/DATA; or (2) ENEL300; or (3) ENMT301; or (4) Approval by the Head of Department of Computer Science and Software Engineering.
STAT446
Advanced Generalised Linear and Multivariate Models
Description
This course covers the statistical principles, data analysis techniques, the software analysis methods, and implementation in R, for Generalised Linear Models (GLM) and Multivariate Models.
Occurrences
Semester Two 2025
Points
15 points
Prerequisites
Subject to approval of the Head of School.
STAT447
Official Statistics
Description
This course provides an overview of the key areas of Official Statistics. Topics covered include data sources (sample surveys and administrative data); the legal and ethical framework of official statistics; an introduction demography; the collection and analysis of health, social and economic data; data visualisation including presentation of spatial data; data matching and integration; the system of National Accounts.
Occurrences
Semester Two 2025
Points
15 points
Prerequisites
Subject to approval of the Head of School
Restrictions
STAT474
STAT450
Advanced Statistical Modelling
Description
Nau mai ki GISC404-STAT450 - welcome to GISC404-STAT450. This course provides an introduction to a range of statistical techniques used in the analysis of spatial data. It will cover the basic concepts and techniques of spatial data analysis (SDA) and provide a wide range of applications examples from various fields such as geology, demographics, epidemiology and environmental sciences. A comprehensive lab programme uses a variety of software packages (including ArcGIS, Geoda, geoR) to explore and analyse spatial data using the techniques taught in the course.
Occurrences
Semester One 2025
Points
15 points
Prerequisites
Subject to approval of the Head of School.
STAT455
Data Collection and Sampling Methods
Occurrences
Semester One 2025
Semester One 2025 (Distance)
Points
15 points
Prerequisites
Subject to approval of the Head of School.
STAT456
Time Series and Stochastic Processes
Occurrences
Semester Two 2025
Points
15 points
Prerequisites
Subject to approval of the Head of School.
Restrictions
ECON663, ECON614
BIOL459
Genomics
Description
Students taking this course will develop a deep knowledge in a current area of genome biology and evolution. Students will get to grips with the latest research in this fast moving field, read deeply on a chosen topic, and develop strong critical thinking, writing and debating skills.
Occurrences
Semester Two 2025
Points
15 points
Prerequisites
Subject to approval of the Head of School.
Restrictions
BIOL430/BCHM406/BCHM459
HLTH462
Quantitative Methods in Health
Description
This course will provide students with an understanding of key quantitative methodological issues in health research from the perspective of research designs and development of current best evidence in health.
Occurrences
Semester Two 2025
Points
15 points
Prerequisites
Subject to approval of the Associate Dean - Academic.
Restrictions
HLTH460
STAT463
Advanced Multivariable Statistical Methods and Applications
Occurrences
Semester One 2025
Semester One 2025 (Distance)
Points
15 points
Prerequisites
Subject to approval of the Head of School.
DATA474
Special Topic: Mathematical Data Science
Occurrences
Semester Two 2025
Points
15 points
Prerequisites
Subject to the approval of the Head of School.
INFO620
Information Systems Research
Description
The course examines key strategic and contemporary issues related to the management and use of information systems and technology, including their theoretical and practical implications for organisations and society.
Occurrences
Semester Two 2025
Points
15 points
Prerequisites
Subject to approval of the Head of Department.
Restrictions
ACIS620, AFIS620, AFIS610
INFO634
Data Analytics & Business Intelligence
Description
The aim is to help students develop an understanding and gain experience with key aspects of business data analytics its applications, systems, processes and practices, and be able to engage critically with the opportunities, issues and challenges that underpin supporting and engaging with business intelligence and analytics in organisations. Key concepts, analytical techniques and tools applicable to various aspects of data science/business analytics, including the collection, integration, analysis, and presentation of organisational information, and data-driven decision making in businesses and otherwise are introduced and applied.
Occurrences
Semester One 2025
Points
15 points
Prerequisites
Subject to approval of the Head of Department

Not Offered Courses in 2025

Postgraduate

DATA417
The Trustworthy Data Scientist
Description
This course will stimulate students to think about the ethical facets of their data scientific projects and provide them with conceptual and practical tools to assess said project. The ethics and security of data collection, storage, manipulation, analysis and communication is of paramount importance in our information based society. This course faces these topics from the point of view of data scientists-rather than consumers or data subjects-enabling the student to become trustworthy professionals. The students will learn to identify risk and opportunities related to fairness, agency, interpretability, and security. Maori Data Sovereignty, Te Mana Raraunga, and its relevance for data scientist in New Zealand will be introduced. The course will follow a flipped class-room flow. Fundamental concepts will be first introduce via guided discussions and hands-on-data exercises during the laboratories. In the lectures, the understanding of concepts and tools introduced in the laboratories is made rigorous and generalised.
Occurrences
Not offered 2025, offered in 2020 , 2021 , 2022 , 2023 , 2024
For further information see DATA417 course details
Points
15 points
DATA419
Online Communities and Social Networks
Description
This course introduces to the analyses of online communities and social networks. Students will learn to formulate scientific questions about the online dynamics and use open software to collect, organize, model, and communicate data from common social networks.
Occurrences
Not offered 2025, offered in 2020 , 2021 , 2022 , 2023
For further information see DATA419 course details
Points
15 points
DATA424
Information Is Beautiful
Description
This course will introduce students to the truthful art of visualizing data. The students will use an iterative design process to create visualizations that are truthful, functional, beautiful, insightful and enlightening. The lectures will consist of presentations, critiques, in-class exercises and discussions. This course will enable students to select appropriate visualization methods for their data and solve practical data science communication problems. They will consider the context and the indented reader to focus the story their data will tell. The students will learn to use the Tableau software, which will be made available for their own computers within the framework of this course. The course will provide a supportive environment in which students can experiment with the aesthetics of data visualization. Students will need to be familiar with basic data manipulation principles and the process of data gathering and cleaning.
Occurrences
Not offered 2025, offered in 2021 , 2022 , 2023
For further information see DATA424 course details
Points
15 points
DATA430
Medical Data Informatics
Description
This course explores statistical models, algorithms, and programming platforms for medical data including imaging, clinical and research text reports, lab results, and patient records.
Occurrences
Not offered 2025, offered in 2019 , 2020 , 2021
For further information see DATA430 course details
Points
15 points
POLS443
Policy Issues in Science and Technology
Description
This course focuses on the analysis and evaluation of comparative national policies for science, technology and the environment. Scientific innovation and investment are crucial to both economic and environmental sustainability, but the dynamics of policy-making in this domain often lead to public mistrust and conflict. Based on the case study method, this course will examine STEP with reference to issues such as: geo-engineering and climate change; energy policy; autonomous machines and the robotic revolution; and advanced biotechnologies for human health and the environment.
Occurrences
Not offered 2025
For further information see POLS443 course details
Points
30 points