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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.
The aim of this course is to help students develop an understanding of data science/ analytics, and provide an opportunity to gain experience with diverse methods and technologies related to common aspects of data science/analytics. Key concepts, analytical techniques and tools applicable to different aspects of data science/analytics and business decision making (i.e. business intelligence (BI)) are introduced.Students completing this course have an opportunity to develop foundational skills in the use of common data science/analytics tools, including data handling, data visualisation, regression, neural networks, decision trees, time series analysis,
At the end of this course, students will be able to:1. Demonstrate an understanding of key data science/analytics concepts, tools and techniques 2. To recognise and analyse business problems, issues and opportunities related to the role and use of data science/ analytics in organisations3. To select and apply suitable techniques (e.g. forecasting, data mining), extract meaningful insights from various data, and make recommendations that align with the organisations’ context/objectives and business decisions. 4. Produce appropriate information models and reports for use in business decision-making using Data Science/ Analytics software/visualisation tools5. Work as a team to perform key activities related to the analysis of data and business decisions and provision of meaningful insights (BI) and evidence-based recommendations.
This course will provide students with an opportunity to develop the Graduate Attributes specified below:
Critically competent in a core academic discipline of their award
Students know and can critically evaluate and, where applicable, apply this knowledge to topics/issues within their majoring subject.
Employable, innovative and enterprising
Students will develop key skills and attributes sought by employers that can be used in a range of applications.
Engaged with the community
Students will have observed and understood a culture within a community by reflecting on their own performance and experiences within that community.
Subject to approval of the Head of Department
Students must attend one activity from each section.
Domestic fee $1,023.00
International Postgraduate fees
* All fees are inclusive of NZ GST or any equivalent overseas tax, and do not include any programme level discount or additional course-related expenses.
This course will not be offered if fewer than 5 people apply to enrol.
For further information see
Department of Accounting and Information Systems on the
departments and faculties