Postgraduate Diploma in Artificial Intelligence
Program start date | Application deadline |
2025-03-03 | - |
2026-03-02 | - |
Program Overview
The Postgraduate Diploma in Artificial Intelligence (PGDipAI) at the University of Auckland equips individuals with the expertise to develop and deploy AI systems. The program comprises compulsory courses in AI fundamentals, machine learning, and deep learning, along with elective courses in specialized areas. Graduates can pursue diverse careers in AI engineering, data science, and research.
Program Outline
Postgraduate Diploma in Artificial Intelligence (PGDipAI) at the University of Auckland
Degree Overview:
The Postgraduate Diploma in Artificial Intelligence (PGDipAI) at the University of Auckland is a program designed to equip individuals with the expertise and knowledge required to work in the growing field of Artificial Intelligence (AI). This program aims to provide graduates with the capability to develop and deploy AI systems in various sectors, enabling them to become key players in shaping the future of AI.
Outline:
The program comprises a total of 180 points, divided into two parts:
Part 1:
- Compulsory Courses (60 points):
- COMPSCI 712: Fundamentals of Artificial Intelligence
- COMPSCI 713: Machine Learning
- COMPSCI 714: Deep Learning
- INFOSYS 703: Introduction to Data Science
- Elective Courses (60 points):
- Choose two from the following:
- COMPSCI 703: Computer Vision
- COMPSCI 705: Robotics
- COMPSCI 720: Computer Graphics
- COMPSCI 732: Computer Networks
- COMPSCI 734: Natural Language Processing
- COMPSCI 750-753: Honours Project (choose two)
- COMPSCI 760: Big Data
- COMPSCI 761: Data Mining
- COMPSCI 764: Optimization Methods
- COMPSCI 765: Computational Linguistics
- COMPSCI 767: Recommender Systems
- COMPSCI 769: Data Visualization
- COMPSCI 773: Introduction to Bioinformatics
- COMPSYS 726: High Performance Computing
- COMPSYS 731: Cloud Computing
- COMPSYS 732: Parallel Programming
- DIGIHLTH 701: Digital Health Technologies
- DIGIHLTH 703: Health Information Systems
- DIGIHLTH 704: Healthcare Analytics
- DIGIHLTH 706: Digital Health Leadership
- ELECTENG 722: Machine Learning for Engineers
- ENGGEN 730: Engineering Mathematics
- ENGGEN 743: Engineering Project Management
- ENGSCI 760: Engineering Science Project
- INFOSYS 722: Advanced Databases
- PHIL 745: Philosophy of Artificial Intelligence
- STATS 762: Statistical Modelling
- STATS 769: Statistical Machine Learning
- STATS 782: Time Series Analysis
- STATS 784: Bayesian Inference
Part 2:
- Compulsory Courses (60 points):
- COMPSCI 783: Capstone Project (60 points)
Assessment:
Assessment methods for the program may include:
- Individual assignments
- Group projects
- Quizzes
- Mid-term and final exams
- Presentations
- Research paper writing
Teaching:
The program utilizes a variety of teaching methods, including:
- Lectures
- Tutorials
- Practicals
- Guest lectures
- Industry partnerships
- Online resources and discussion forums The program also boasts a distinguished faculty with expertise in various areas of AI and related fields.
Careers:
Graduates of the PGDipAI can pursue diverse career opportunities such as:
- Artificial intelligence engineer
- Machine learning engineer
- Data engineer
- Natural language processing engineer
- Data mining analyst
- Big data engineer/architect
- Research scientist
- Researcher
Other:
- The program is open to both domestic and international students.
- Applicants must hold a relevant undergraduate degree with a strong academic record.
- The program is offered full-time over one year or part-time spread over a longer duration.
- Cost of the program is currently unavailable.
University of Auckland Summary
Overview:
The University of Auckland is New Zealand's leading university, renowned for its academic excellence and commitment to research. It offers a wide range of undergraduate and postgraduate programs across various disciplines.
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The University provides a comprehensive range of services for students, including:
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Entry Requirements:
The Postgraduate Diploma in Artificial Intelligence (PGDipAI) program at the University of Auckland requires applicants to meet the following entry requirements:
- Academic qualifications:
- Applicants must hold either:
- A Bachelor of Science or another relevant undergraduate degree from the University of Auckland with a Grade Point Average (GPA) of 4.0 or higher in 75 points above Stage II.
- A Bachelor of Advanced Science (Honours), Bachelor of Engineering, Bachelor of Engineering (Honours), or Bachelor of Science (Honours) with a GPA of 4.0 or higher in 120 points above Stage III.
- Other requirements:
- Applicants must also meet the following requirements:
- Completion of any 60-point postgraduate level course at the University of Auckland, including one chosen from the following list:
- COMPSCI 712
- COMPSCI 713
- COMPSCI 714
- INFOSYS 703
- Completion of 60 points from the following list:
- COMPSCI 703
- COMPSCI 705
- COMPSCI 720
- COMPSCI 732
- COMPSCI 734
- COMPSCI 750-753
- COMPSCI 760
- COMPSCI 761
- COMPSCI 762
- COMPSCI 764
- COMPSCI 765
- COMPSCI 767
- COMPSCI 769
- COMPSCI 773
- COMPSYS 726
- COMPSYS 731
- COMPSYS 732
- DIGIHLTH 701
- DIGIHLTH 703
- DIGIHLTH 704
- DIGIHLTH 706
- ELECTENG 722
- ENGGEN 730
- ENGGEN 743
- ENGSCI 760
- GEOG 761
- INFOGOV 704
- INFOSYS 722
- PHIL 745
- STATS 762
- STATS 769
- STATS 782
- STATS 784
Please note:
- The specific details of the entry requirements may change over time. Prospective applicants are encouraged to consult the University of Auckland's official website for the most up-to-date information. However, international students whose native language is not English may be required to demonstrate their English language proficiency by providing evidence of a satisfactory score on an English language test such as IELTS or TOEFL. The specific requirements will vary depending on the applicant's home country and educational background.