Diploma of Data Science and Artificial Intelligence (CRICOS 121411H)

The Diploma of Data Science and Artificial Intelligence course aims to develop graduates with foundational, practical skills in working with data to support data informed decision-making in real-world contexts. It introduces core data science concepts, including data collection and preparation, exploratory data analysis, and ethical data practices, equipping graduates for entry-level roles and further study in data driven fields. This course equips graduates with cutting-edge analytical, computational, and problem-solving skills that are in high demand worldwide. Through a curriculum grounded in innovation, ethical practice, and real-world application, students develop the confidence and capability to contribute meaningfully in diverse international industries. The program’s emphasis on practical learning, collaboration, and adaptability ensures that graduates are not only technically proficient but also prepared to thrive as responsible and globally minded data professionals. Graduates of the Diploma of Data Science and Artificial Intelligence will gain foundational skills in data collection, management, and analysis, enabling them to interpret data and support informed decision-making. The diploma provides a practical pathway to the bachelor program and prepares students for entry-level roles such as data technician, junior data analyst, or research assistant in sectors including business, health, education, finance, and technology. Graduates will have a range of career opportunities across data science, analytics, and artificial intelligence. Potential career options include Junior Data Analyst, Data Support Officer, Reporting Analyst, Data Quality Coordinator, and Junior Business Intelligence Officer.

The Diploma of Data Science and Artificial Intelligence course requires students to complete 8 Core subjects (32 credit points). The curriculum includes subjects such as Programming in Python and R, Database Systems, Data Analytics, Statistics and Mathematics, Networking and AI Governance.
The curriculum integrates theoretical foundations with practical, industry-relevant skills aligned with contemporary developments in data science and artificial intelligence. Students are encouraged to pursue industry-recognised certifications from providers such as Google, AWS, Microsoft Azure, and IBM, while industry guest lectures, and faculty expertise throughout the course provide exposure to current industry trends and workforce needs.

Course Learning Outcomes

1. 1. Demonstrate technical knowledge and understanding of Data Science and Artificial Intelligence principles, including the concepts underpinning associated emerging technologies.
   2. Analyse information and concepts and apply critical thinking using appropriate data and AI driven approaches
   3. Apply foundational knowledge and skills across diverse contexts, demonstrating initiative, sound judgement, and ethical responsibility.
   4. Communicate knowledge, ideas, and solutions clearly and effectively to a range of audiences while working independently and collaboratively in teams.

Delivery Mode

• Face-to-Face with blended learning facilities

Subject Credit Points

• 4 Credit Points each subject

Exit Pathways

• N/A

POSSIBLE CAREER PATHS
Graduates of the Diploma of Data Science and Artificial Intelligence may find employment across a range of industries and in various junior or entry-level roles; Junior Data Analyst, Reporting Analyst, Junior Business Intelligence Officer, Data Support Officer, Data Quality Coordinator.
*Advancement in these roles generally requires additional certification or training

PATHWAY TO FURTHER STUDIES

Graduates of the Diploma of Data Science and Artificial Intelligence are eligible to apply for admission into KOI’s Bachelor of Data Science and Artificial Intelligence or Bachelor of Information Technology. Graduates may use the Diploma to gain admission into many other bachelor level courses in Australia and overseas.

STUDENT PROFILE
The table in the pop-up window here gives an indication of the likely peer cohort for new students at KOI. It provides data on students that commenced Diploma of Data Science and Artificial Intelligence study and passed the census date in the most relevant recent intake period for which data are available, including those admitted through all offer rounds, across all Australian campuses, and international students studying in Australia.

ATAR PROFILE
The table in the pop-up window here gives ATAR profile for those offered places wholly or partly on the basis of ATAR in Trimester 1, 2026

ADMISSION REQUIREMENTS
General admission criteria apply to the course.

COURSE CONDITIONS
To be permitted to enrol in this course:
KOI will admit students in Diploma of Data Science and Artificial Intelligence who have an NSW Higher School Certificate or equivalent showing satisfactory completion of Year 12 at a standard equivalent to ATAR 60.00 or above.