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.

Learning Outcomes

At the end of this course, students will be able to:
*  Demonstrate an understanding of key data science/analytics concepts, tools and techniques.
*  To recognise and analyse business problems, issues and opportunities related to the role and use of data science/analytics in organisations.
*  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.
*  Produce appropriate information models and reports for use in business decision-making using Data Science/Analytics software/visualisation tools.
*  Work as a team to perform key activities related to the analysis of data and business decisions and the provision of meaningful insights (BI) and evidence-based recommendations.

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 Tuesday 13:00 - 16:00 Ernest Rutherford 464 Computer Lab
17 Feb - 6 Apr
28 Apr - 1 Jun

Examinations, Quizzes and Formal Tests

Test A
Activity Day Time Location Weeks
01 Wednesday 10:00 - 13:00 Ernest Rutherford 464 Computer Lab
2 Jun - 8 Jun
02 Wednesday 10:00 - 13:00 Ernest Rutherford 465
2 Jun - 8 Jun

Course Coordinator

Pan Zheng

Lecturer

Annette Mills

Assessment

Assessment Due Date Percentage 
Assignments 20%
Project 35%
Final Test 45%

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 on the departments and faculties page .

All INFO634 Occurrences

  • INFO634-25S1 (C) Semester One 2025