Courses - Faculty of Business And Economics
Information Systems
Stage I
Digital Systems
Explores how information systems and analytical tools help organisations to innovate, optimise and deliver value. Examines how the development and implementation of systems and technologies coordinate and manage information, people, and processes within data governance and privacy frameworks.
Stage II
Business Systems Analysis
An Information Technology (IT) professional must understand how IT systems are constructed and tested and how quality is assessed, in order to manage, develop or provide innovative business solutions. Business Systems Analysis introduces systems development process concepts and activities, with a strong focus on understanding the problem and solution through modelling.
Prerequisite: 15 points from COMPSCI 101, 105, 107, 130, INFOMGMT 192, INFOSYS 110
Restriction: INFOMGMT 291
Programming for Business
Focuses on enhancing Business/IT professional skills. Develops and applies problem-solving and algorithmic skills through pseudocode and fundamental programming constructs. Applies a design thinking methodology of empathise, ideate, design, prototype and test to build applications relevant to current business domains.
Prerequisite: INFOSYS 110
Restriction: COMPSCI 101, 130
Database Systems
Managers and other knowledge workers find that many of their duties revolve around accessing, organising, and presenting organisational and external information. The ability to develop and use computer databases is becoming a critical skill that is required in many disciplines. These skills are developed through an introduction to data modelling, relational theory, database design, and the management of databases.
Prerequisite: 15 points from COMPSCI 101, 105, 107, 130, INFOSYS 110
Stage III
Robotic Process Automation
Examines Robotic Process Automation (RPA) Systems and how RPA fits into the current information technology setups and helps the modern organisation address business process-related problems and opportunities. Examines the benefits and limitations of RPA and how it differs from other business solution technologies.
Prerequisite: 30 points at Stage II in Accounting, Business Analytics, Computer Science, Engineering Science, Information Management, Information Systems, Marketing, Operations and Supply Chain Management, Software Engineering
Solutions Architecture
Information systems specifically designed for organisational IT environments provide competitive advantages. Focusses on using high quality information architecture to address business requirements including the iterative use of system analysis, design and prototyping. Develops familiarity with state-of-the-art modelling, development, and deployment environments, and solutions for designing business systems architecture.
Prerequisite: INFOSYS 220, and BUSAN 201 or INFOSYS 222
Restriction: INFOSYS 320
IT Infrastructure
Modern IT infrastructure relies on a functionally hierarchical network designed around the OSI model. Explores internet-oriented backbones and high-speed access infrastructure, and uses the TCP/IP suite, cloud infrastructure and digital services, and applications to understand basic and business-oriented infrastructure challenges such as capacity planning, architecture design, and scaling of IT infrastructure and applications.
Prerequisite: 15 points from COMPSCI 230, INFOSYS 220, and 15 points from BUSAN 200, 201, COMPSCI 215, 235, INFOSYS 222, INNOVENT 203, OPSMGT 258, SCIGEN 201
Restriction: INFOSYS 224, 322, 339
Digital Strategy and Transformation
Explores strategic opportunities for delivering value through digital technologies. Examines best practices to ensure the effective development and operation of digital capabilities in the global context by aligning business and information technology strategies, controlling risks, and complying with regulatory requirements and standards.
Prerequisite: INFOSYS 220
Restriction: INFOSYS 323
Digital Business and Innovation
Explores the prominent IT-enabled innovative business models and digital platforms that result in the digital transformation of industries, businesses, products and services. Examines the strategic and economic foundations of digital platforms and models. Discusses the design, coordination and management of the ecosystems underpinning the digital business models and platforms. Prerequisite: 30 points at Stage II in either Accounting, Business Analytics, Computer Science, Engineering Science, Information Management, Information Systems, Marketing, Operations and Supply Chain Management, Software Engineering
Restriction: INFOSYS 323, 338, 344
Business Project
A project in conjunction with an industry partner. The projects are to be in the areas of Business Analytics, Information Systems, and Operations and Supply Chain Management. The course encourages students to demonstrate skills and knowledge obtained in previous courses and to develop the capabilities of solving real-life problems. Prerequisite: 30 points at Stage II in Business Analytics, Computer Science, Information Systems, Operations and Supply Chain Management and a GPA of 5.0 or higher
Restriction: INFOSYS 340, 342, 345
To complete this course students must enrol in INFOSYS 310 A and B
Enterprise Systems
Examines cross-functional integrated computer-based information systems, known as Enterprise Resource Planning (ERP) systems, designed to support an organisation's information needs and operations. Considers issues associated with the selection, analysis, design, implementation and configuration of such systems. Investigates transaction processing, management information and decision support across an organisation's business processes. Explores the characterisation of problems, in terms of process and information models.
Prerequisite: 15 points at Stage II in Accounting, Business Analytics, Computer Science, Engineering Science, Information Management, Information Systems, Marketing, Operations Management, Software Engineering
Information Security in Business
An overview of activities, methods, and procedures used by business to establish robust information security policies. Topics include: security requirements; security management models and practices; risk management; identification and authentication; access control; information security technologies and encryption. In addition, key legal and ethical issues are discussed. Includes practical exercises using certain key technologies to assist learning.
Prerequisite: 30 points at Stage II in either Business Analytics, Computer Science, Information Systems
Postgraduate 700 Level Courses
Digital Innovation
New information technologies are transforming how innovations are created, distributed, and commercialised. Focuses on the practices for digital innovation creation, distribution, and commercialisation as well as the digital strategies needed to manage such digital innovations.
Managing with Artificial Intelligence
Focuses on a business perspective of the use of Artificial Intelligence (AI) tools and solutions in organisations. Explores how different AI-enabled tools and solutions contribute to organisational and societal objectives and values. Aims to prepare students for jobs that involve technology consultancy and management of technology, with specific focus on AI as an emergent technology.
IT Consultancy
Focuses on developing IT consultancy skills by introducing the lifecycle of IT consultancy project and best practices per each phase. Prepares students for IT consultancy roles that involve business and technology analysis, change management, implementation and performance management.
Digital Sustainability
Informs students about the opportunities in harnessing technology to address the UN SDGs. The course will be guided by the digital sustainability framework (digital maturity, governance, orientation and partnership) and will use real use-cases to develop solutions by students.
Information Systems Research
A substantive review of research in the discipline of information systems. Behavioural, strategic and social issues relating to the design, implementation and impact of information technology applications will be studied.
Data Mining and Big Data
Data mining and big data involves storing, processing, analysing and making sense of huge volumes of data extracted in many formats and from many sources. Using information systems frameworks and knowledge discovery concepts, this project-based course uses cutting-edge business intelligence tools for data analytics.
Advanced Information Security
Focuses on technical security issues of the systems used in today's information technology applications. Explores the practical issues of identification and authentication, security of operating systems, cryptography, disaster recovery and contingency planning, and discusses the relevant theoretical models. Managerial aspects of information security issues as well as legal and ethical issues arising from protecting computer files both from a New Zealand and global perspective will be addressed. The course follows the content of CISSP certification.
Readings in Information Systems
An independent study of the research literature in a particular area of information systems. An opportunity to investigate a topic in depth, and gain valuable research skills. The particular area of research must be jointly agreed upon by the lecturer and students, and approved by the Head of Department.
Cloud Computing Architecture
Cloud Computing Architecture combines practical skills development with broader research and critical thinking skills to enable the student to analyze concepts relating to cloud computing. The curriculum is delivered through instructor-led classes, knowledge assessments, and hands-on labs designed to develop technical expertise in cloud computing and preparing students for a career in cloud solutions.
Research Methods – Quantitative
A comprehensive review of the methodological issues in systems research, including detailed coverage of univariate and multivariate data analysis.
Prerequisite: 15 points from STATS 201-255, or equivalent
Restriction: MKTG 703, 704
Research Methods – Qualitative
Focus is on the conduct and evaluation of qualitative research. Reviews various qualitative research methods and ways of analysing qualitative data and the challenges of writing up qualitative research work for conferences and peer-reviewed academic journals.
Restriction: MKTG 703, 704
Project Management and Outsourcing
Discusses tools and techniques for managing complex projects. Particular focus is given to balancing competing demands among scope, time, cost, and quality. Communication tools for facilitating relationships between the project team and customers are also discussed as well as between client and vendors on information technology outsourcing projects in onshore, nearshore, offshore and web-based services.
Restriction: OPSMGT 757
Research Project - Level 9
Prerequisite: INFOSYS 750 or 751
Restriction: INFOSYS 789
Dissertation - Level 9
To complete this course students must enrol in INFOSYS 791 A and B, or INFOSYS 791
Thesis - Level 9
To complete this course students must enrol in INFOSYS 794 A and B