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INFO634 - SPECIAL TOPIC - DATA ANALYTICS & BUSINESS INTELLIGENCEThis course aims 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 visualization, regression, neural networks, decision trees, time series analysis, and exploratory data analysis, and apply these to decision-making in organisations.
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 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.
Subject to approval of the Head of Department
Students must attend one activity from each section.
Domestic fee $975.00
International Postgraduate fees
* Fees include New Zealand GST 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 department and colleges page.