INFO260-24S2 (C) Semester Two 2024

Data Management

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 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

  • The objectives of the course are:
  • 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).
    • 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.

      Biculturally competent and confident

      Students will be aware of and understand the nature of biculturalism in Aotearoa New Zealand, and its relevance to their area of study and/or their degree.


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

Timetable 2024

Students must attend one activity from each section.

Lecture A
Activity Day Time Location Weeks
01 Monday 14:00 - 16:00 Psychology - Sociology 252 Lecture Theatre
15 Jul - 25 Aug
9 Sep - 20 Oct
Computer Lab A
Activity Day Time Location Weeks
01 Tuesday 10:00 - 11:00 Meremere 110 Computer Lab
15 Jul - 25 Aug
9 Sep - 20 Oct
02 Wednesday 10:00 - 11:00 Meremere 110 Computer Lab
15 Jul - 25 Aug
9 Sep - 20 Oct
03 Friday 09:00 - 10:00 Meremere 110 Computer Lab
15 Jul - 25 Aug
9 Sep - 20 Oct

Course Coordinator / Lecturer

Claris Chung


Kulani Sumanasekera


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

Textbooks / Resources

Recommended Reading

Earley, Susan. , Henderson, Deborah., Data Management Association; DAMA-DMBOK : data management body of knowledge ; 2nd edition; Technics Publications, 2017.

Gordon, Keith; Principles of data management : facilitating information sharing ; Third edition; BCS, The Chartered Institute for IT, 2022.

Indicative Fees

Domestic fee $942.00

International fee $4,988.00

* 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 .

All INFO260 Occurrences

  • INFO260-24S2 (C) Semester Two 2024