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Students
Tuition Fee
NZD 42,746
Per course
Start Date
Medium of studying
Duration
12 months
Program Facts
Program Details
Degree
Diploma
Major
Computer Science | Information Systems | Information Technology
Area of study
Information and Communication Technologies
Timing
Full time
Course Language
English
Tuition Fee
Average International Tuition Fee
NZD 42,746
Intakes
Program start dateApplication deadline
2024-07-15-
2025-03-03-
2025-07-21-
About Program

Program Overview


The Postgraduate Diploma in Computer and Information Sciences is a one-year program that explores the latest advancements in the field. It offers a wide range of courses, including artificial intelligence, big data, and software architecture, and prepares students for careers in database architecture, software development, and project management. The program features a strong emphasis on research and practical application, with students working on real-world projects and conducting independent research. Graduates have a high employment rate and are well-prepared for success in the rapidly changing field of computer and information sciences.

Program Outline

Degree Overview:

  • Overview: The Postgraduate Diploma in Computer and Information Sciences is a one-year program that explores the latest advancements in computer and information sciences.
  • Objectives: The program aims to broaden students' knowledge of specialized fields within computer and information sciences and develop advanced analytical, planning, and critical thinking skills.
  • Program Description: The program offers a wide range of courses, including artificial intelligence, big data, bioinformatics, 3D technologies, and software architecture.
  • Students can choose from a variety of elective courses to tailor their studies to their interests and career goals.

Outline:

  • Content: The program covers a comprehensive range of topics in computer and information sciences, including:
  • Artificial intelligence
  • Software systems engineering
  • Knowledge engineering
  • Information systems technology
  • Structure: The program consists of 120 points of coursework, including one compulsory Research Methods course.
  • Students choose the remaining 105 points from a variety of elective courses.
  • Course Schedule: Courses are typically offered on a semester basis, with most courses lasting one semester and worth 15 points.
  • The program can be completed in one year of full-time study or part-time over a longer period.
  • Individual Modules:
  • ENGE817 STEM Research Methods (15 points):
  • This course provides students with the research skills and knowledge necessary to conduct independent research in computer and information sciences.
  • COMP800 Neuroinformatics (15 points): This course introduces students to the principles of neuroinformatics, including data acquisition, processing, and analysis.
  • COMP806 Software Architecture (15 points): This course covers the principles and practices of software architecture, including design patterns, architectural styles, and software quality.
  • COMP809 Data Mining and Machine Learning (15 points): This course introduces students to the principles and techniques of data mining and machine learning, including data preprocessing, feature selection, and model evaluation.
  • COMP810 Data Warehousing and Big Data (15 points): This course covers the principles and techniques of data warehousing and big data, including data integration, data storage, and data analysis.
  • COMP815 Nature Inspired Computing (15 points): This course introduces students to the principles and techniques of nature-inspired computing, including evolutionary algorithms, swarm intelligence, and ant colony optimization.
  • COMP816 Advanced Internet of Things and Applications (15 points): This course covers the principles and applications of the Internet of Things, including sensor networks, data analytics, and security.
  • COMP818 Intelligent Surveillance (15 points): This course introduces students to the principles and techniques of intelligent surveillance, including video analytics, object recognition, and tracking.
  • COMP819 Ubiquitous Computing (15 points): This course covers the principles and applications of ubiquitous computing, including wearable devices, smart environments, and context-aware computing.
  • COMP820 Video and Image Processing (15 points): This course introduces students to the principles and techniques of video and image processing, including image enhancement, image segmentation, and object recognition.
  • COMP821 Information Security (15 points): This course covers the principles and practices of information security, including cryptography, network security, and data protection.
  • COMP822 Human Computer Interaction (15 points): This course introduces students to the principles and techniques of human-computer interaction, including user interface design, usability testing, and user experience.
  • COMP823 Readings (30 points): This course provides students with the opportunity to conduct independent research on a topic of their choice in computer and information sciences.
  • COMP824 Special Topic A (15 points): This course covers a special topic in computer and information sciences.
  • The topic varies from year to year.
  • COMP825 Special Topic B (15 points): This course covers a special topic in computer and information sciences.
  • The topic varies from year to year.
  • COMP826 Mobile System Development (15 points): This course introduces students to the principles and techniques of mobile system development, including mobile operating systems, mobile application development, and mobile security.
  • COMP828 Statistical Programming for Data Science (15 points): This course covers the principles and techniques of statistical programming for data science, including data analysis, data visualization, and machine learning.
  • COMP831 Cybercrime and Cybersecurity (15 points): This course introduces students to the principles and techniques of cybercrime and cybersecurity, including cyberattacks, cybercrime investigation, and cybersecurity risk management.
  • COMP838 Deep Learning (15 points): This course covers the principles and techniques of deep learning, including neural networks, convolutional neural networks, and recurrent neural networks.
  • COMP842 Applied Blockchains and Cryptocurrencies (15 points): This course introduces students to the principles and applications of blockchains and cryptocurrencies, including blockchain architecture, cryptocurrency mining, and smart contracts.
  • INFS803 Cloud Computing (15 points): This course covers the principles and practices of cloud computing, including cloud architecture, cloud services, and cloud security.
  • INFS809 Software Development Methods (15 points): This course covers the principles and practices of software development methods, including agile development, scrum, and DevOps.
  • INFS813 Information Technology Strategy and Policy (15 points): This course covers the principles and practices of information technology strategy and policy, including IT governance, IT risk management, and IT service management.

Assessment:

  • Assessment Methods: Assessment methods vary depending on the course but may include:
  • Assignments
  • Projects
  • Presentations
  • Exams
  • Assessment Criteria: Assessment criteria typically include:
  • Knowledge and understanding of the subject matter
  • Critical thinking and problem-solving skills
  • Communication and presentation skills
  • Research skills

Teaching:

  • Teaching Methods: Teaching methods vary depending on the course but may include:
  • Lectures
  • Tutorials
  • Workshops
  • Project work
  • Faculty: The program is taught by a team of experienced faculty members who are active in research and industry.
  • Unique Approaches: The program features a strong emphasis on research and practical application.
  • Students have the opportunity to work on real-world projects and conduct independent research.

Careers:

  • Career Paths: Graduates of the Postgraduate Diploma in Computer and Information Sciences may pursue careers in a variety of fields, including:
  • Database architect
  • E-commerce solutions architect
  • Group IT manager
  • Integration architect
  • IT manager
  • Programme manager
  • Project leader
  • Project manager
  • Software architect
  • Software developer/architect
  • Opportunities: The program prepares students for a wide range of career opportunities in the growing field of computer and information sciences.
  • Graduates may find employment in a variety of industries, including technology, finance, healthcare, and government.
  • Outcomes: Graduates of the Postgraduate Diploma in Computer and Information Sciences have a high employment rate and are well-prepared for success in their careers.
  • The program provides students with the skills and knowledge they need to succeed in the rapidly changing field of computer and information sciences.

Tuition Fees and Payment Information:

Domestic $10,607 (for 120 points) ($9,461 tuition fees + $1146 student services levy) International $42,746 (for 120 points) ($41,600 tuition fees + $1146 student services levy)

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