INFO634-24S2 (C) Semester Two 2024

Data Analytics & Business Intelligence

15 points

Start Date: Monday, 15 July 2024
End Date: Sunday, 10 November 2024
Withdrawal Dates
Last Day to withdraw from this course:
  • Without financial penalty (full fee refund): Sunday, 28 July 2024
  • Without academic penalty (including no fee refund): Sunday, 29 September 2024


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.

Learning Outcomes

University Graduate Attributes

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

Timetable 2024

Students must attend one activity from each section.

Lecture A
Activity Day Time Location Weeks
01 Tuesday 10:00 - 13:00 Ernest Rutherford 212 Computer Lab
15 Jul - 25 Aug
9 Sep - 20 Oct
02 Thursday 09:00 - 12:00 Ernest Rutherford 464 Computer Lab
15 Jul - 25 Aug
9 Sep - 20 Oct

Course Coordinator

Pan Zheng


Annette Mills

Indicative Fees

Domestic fee $1,080.00

* 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 .

All INFO634 Occurrences

  • INFO634-24S2 (C) Semester Two 2024