MBIS623-26S1 (C) Semester One 2026

Data Management

15 points

Details:
Start Date: Monday, 16 February 2026
End Date: Sunday, 21 June 2026
Withdrawal Dates
Last Day to withdraw from this course:
  • Without financial penalty (full fee refund): Sunday, 1 March 2026
  • Without academic penalty (including no fee refund): Sunday, 10 May 2026

Description

This course covers the principles and practices that underpin the effective use and management of data in modern organizations. It includes core topics such as data governance, data modelling, data quality, data integration, data sovereignty, SQL querying, and principles of data security, ethics and privacy. The course exposes the students to real-world challenges and considerations in managing and using data to support business decision-making. Emphasis is placed on practical skills and real-world applications.

MBIS623 introduces a range of topics that underpin the successful use and management of information in contemporary organisations. MBIS623 focuses on data governance, data modelling, data storage and operations, data administration, data quality, data security and data warehousing. The course introduces the concepts of Big Data which drive many modern decision-making processes. Big Data platforms 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 MBIS623 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

1. Demonstrate knowledge of the goals, principles and functions of data management.
2. Design a data model using a standard industrial data modelling tool/notation.
3. Implement a database using a standard industrial data management tool.
4. Demonstrate the understanding and skills required for data administration and repository
administration.
5. Analyse the roles that information systems professionals perform in data management.
6. Evaluate data management processes and practices in contemporary organisations.

Restrictions

Timetable 2026

Students must attend one activity from each section.

Lecture A
Activity Day Time Location Weeks
01 Thursday 15:00 - 18:00 E16 Lecture Theatre
16 Feb - 29 Mar
20 Apr - 31 May
Computer Lab A
Activity Day Time Location Weeks
01 Monday 10:00 - 11:00 Jack Erskine 010 Computer Lab
23 Feb - 29 Mar
20 Apr - 31 May
02 Thursday 13:00 - 14:00 Jack Erskine 010 Computer Lab
23 Feb - 29 Mar
20 Apr - 31 May
03 Friday 11:00 - 12:00 Jack Erskine 010 Computer Lab
23 Feb - 29 Mar
20 Apr - 31 May
04 Monday 17:00 - 18:00 Online Delivery
23 Feb - 29 Mar
20 Apr - 31 May

Examinations, Quizzes and Formal Tests

Test A
Activity Day Time Location Weeks
01 Monday 19:00 - 20:30 Rehua 102
23 Mar - 29 Mar
02 Monday 19:00 - 20:30 Rehua 103 Project Workshop
23 Mar - 29 Mar

Course Coordinator

Richard Derham

Assessment

Assessment Due Date Percentage  Description
Assignment 1 15% Data Modelling
Assignment 2 15% Database Design
Quizzes 15%
Term Test 25%
Final Exam 30%

Indicative Fees

Domestic fee $1,198.00

* 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 10 people apply to enrol.

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

All MBIS623 Occurrences