INFO634-20S2 (C) Semester Two 2020

Special Topic

15 points

Start Date: Monday, 13 July 2020
End Date: Sunday, 8 November 2020
Withdrawal Dates
Last Day to withdraw from this course:
  • Without financial penalty (full fee refund): Friday, 24 July 2020
  • Without academic penalty (including no fee refund): Friday, 25 September 2020


Special Topic


This 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.

Learning Outcomes

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 organisations
3.  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 tools
5. 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

Course Coordinator / Lecturer

Annette Mills

Indicative Fees

Domestic fee $995.00

* 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.

Minimum enrolments

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 page .

All INFO634 Occurrences

  • INFO634-20S2 (C) Semester Two 2020