Academic structure, teaching phases, and curriculum for M.Sc. Data Science at University of Newcastle.
Master of Data Science and Artificial Intelligence
Teaching phases
Data science foundations
Study data processing, statistics, databases, visualisation, programming and machine learning.
AI specialisation and project
Choose Computational Intelligence or Health Data Analysis and complete project-based advanced study.
Tuition fee and hostel estimate
Year-wise cost data is not currently published for this program.
Applying to University of Newcastle?
Students Traffic verifies seat availability, checks current recognition status, and prepares your complete application for University of Newcastle. The consultation is free.
Academic structure, teaching phases, and curriculum for M.Sc. Data Science at University of Newcastle.
Master of Data Science and Artificial Intelligence
Teaching phases
Data science foundations
Study data processing, statistics, databases, visualisation, programming and machine learning.
AI specialisation and project
Choose Computational Intelligence or Health Data Analysis and complete project-based advanced study.
Tuition fee and hostel estimate
Year-wise cost data is not currently published for this program.
Applying to University of Newcastle?
Students Traffic verifies seat availability, checks current recognition status, and prepares your complete application for University of Newcastle. The consultation is free.
Training & support
Practical training & industry exposure
The university describes practical learning through laboratories, projects, clinical placements, design studios, professional practice and industry experience. Nursing students are told to complete 800 hours of clinical placement; engineering students complete industrial experience; architecture is professionally accredited by the Architects Accreditation Council of Australia; computing programmes include project-based study. Requirements, checks, availability and registration outcomes remain award-specific.
Training & support
Practical training & industry exposure
The university describes practical learning through laboratories, projects, clinical placements, design studios, professional practice and industry experience. Nursing students are told to complete 800 hours of clinical placement; engineering students complete industrial experience; architecture is professionally accredited by the Architects Accreditation Council of Australia; computing programmes include project-based study. Requirements, checks, availability and registration outcomes remain award-specific.