INFO634-25S1 (C) Semester One 2025

Data Analytics & Business Intelligence

15 points

Details:
Start Date: Monday, 17 February 2025
End Date: Sunday, 22 June 2025
Withdrawal Dates
Last Day to withdraw from this course:
  • Without financial penalty (full fee refund): Sunday, 2 March 2025
  • Without academic penalty (including no fee refund): Sunday, 11 May 2025

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.

Prerequisites

Subject to approval of the Head of Department

Timetable 2025

Students must attend one activity from each section.

Lecture A
Activity Day Time Location Weeks
01 Monday 13:00 - 16:00 Ernest Rutherford 464 Computer Lab
17 Feb - 6 Apr
28 Apr - 1 Jun
02 Tuesday 13:00 - 16:00 Ernest Rutherford 464 Computer Lab
17 Feb - 6 Apr
28 Apr - 1 Jun

Course Coordinator

For further information see Department of Accounting and Information Systems Head of Department

Indicative Fees

Domestic fee $1,145.00

* 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

  • INFO634-25S1 (C) Semester One 2025