INFO260-23S2 (C) Semester Two 2023

Data Management

15 points

Start Date: Monday, 17 July 2023
End Date: Sunday, 12 November 2023
Withdrawal Dates
Last Day to withdraw from this course:
  • Without financial penalty (full fee refund): Sunday, 30 July 2023
  • Without academic penalty (including no fee refund): Sunday, 1 October 2023


The course introduces a range of topics that underpin data management in contemporary organisations. The first part of the course focuses on data architecture, data modelling, data administration, and data warehousing. The second part of the course introduces the concepts of Big Data. In its wider scope the course is designed to expose the students to real-life issues in data management and database management systems in the modern environment.

NFO260 introduces a range of topics that underpin the successful use and management of information in contemporary organisations. INFO260 focuses on data governance, data modelling, database design, data administration, and data warehousing. The course provides a foundation for INFO361 (Business Intelligence Systems for Organisations). The course will introduce the concepts of Big Data which drive many modern decision-making processes. Big Data technologies such as Hadoop and cloud-based analytics bring significant cost advantages when it comes to processing large amounts of data with a view to identify more efficient ways of doing business.

The topics included in INFO260 are a part of the Australian Computer Society (ACS) and Institute of IT Professionals New Zealand (IIT PNZ) Core Body of Knowledge and the Model Curriculum and Guidelines for Information Systems at both the graduate and undergraduate levels. The material of the course draws on the Data Management Essentials certificate material developed by the British Computing Society (BCS) Chartered Institute of IT, as well as the material included in the Data Management International (DAMA) body of knowledge.

Learning Outcomes

  • Upon successful completion of INFO260 students will be able to:
  • Demonstrate knowledge of the goals, principles and functions of data management in the modern business environment.
  • Explain the difference between various levels of data models and design a data model using a standard industrial data modelling tool/notation.
  • Implement a database using a standard industrial data management tool.
  • Demonstrate the understanding and skills required for data administration and repository administration.
  • Analyse the roles that information systems professionals perform in data management in contemporary Aotearoa New Zealand context (BICC kaupapa 3).
  • Evaluate data management processes and practices in the global modern context in reference to the process of colonisation and globalisation (BICC kaupapa 5).


1) INFO123 or INFO125 or COSC101 or COSC121 or COSC131 or COSC122 or DIGI101; and (2) An additional 15 points

Timetable 2023

Students must attend one activity from each section.

Lecture A
Activity Day Time Location Weeks
01 Wednesday 13:00 - 15:00 Psychology - Sociology 252 Lecture Theatre
17 Jul - 27 Aug
11 Sep - 22 Oct
Computer Lab A
Activity Day Time Location Weeks
01 Monday 15:00 - 17:00 Ernest Rutherford 212 Computer Lab
17 Jul - 27 Aug
11 Sep - 22 Oct

Course Coordinator

Constantine Zakkaroff


Thilini Bhagya


Assessment Due Date Percentage 
Final Exam 40%
Course Project 30%
Online quiz 5%
Lab Test 25%

Indicative Fees

Domestic fee $916.00

International fee $4,750.00

* 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.

For further information see Department of Accounting and Information Systems on the departments and faculties page .

All INFO260 Occurrences

  • INFO260-23S2 (C) Semester Two 2023