University of Newcastle, Australia
3 years
Master advanced mathematics for artificial intelligence and data science. Designed for high-achieving students, this program combines theoretical expertise with practical applications, preparing you for careers in AI, finance, energy, and research sectors.
Applicants must have completed a senior secondary school qualification equivalent to the Higher School Certificate (HSC). A selection rank of 90.00 is required for domestic students. International applicants must demonstrate English proficiency with a minimum IELTS overall score of 6.0 and section minimum of 6.0. Students without HSC Mathematics Extension I and/or II must complete foundational mathematics courses in their first year.
The curriculum covers core mathematics topics including statistics, linear algebra, differential equations, numerical methods, number theory, and complex analysis. Students complete programming courses in Python and object-oriented programming. The program offers specialization tracks in Pure and Applied Mathematics, Statistics, or Studies in Mathematics and Statistics. Core courses include Mathematical Modelling, Calculus, Discrete Mathematics, Data Communication and Modelling, Predictive Analytics, and Advanced Mathematical Topics. Advanced courses cover Algebra, Number Theory, Applied Fourier Analysis, Partial Differential Equations, Numerical Methods, Generalised Linear Models, and Time Series Forecasting. A capstone Work Integrated Learning project in the final year applies theory to real-world industry problems.
The University of Newcastle is a leading Australian research institution offering advanced mathematics education through experienced researchers and industry partnerships. The program provides career-ready placements, merit pathway opportunities for high-achieving students to work on active research projects, and a supportive learning environment. The university's commitment to practical, hands-on learning ensures students gain both theoretical expertise and practical experience applicable to emerging industries.
Graduates pursue diverse careers as algorithm designers, data mining analysts, economic/social statisticians, investment bankers, climate modellers, and risk or strategy analysts. With industry experts predicting up to 200,000 new AI-focused roles in Australia by 2030, graduates are equipped for adaptable careers in communications, education, international finance, energy sectors, and medical research. The program's emphasis on critical thinking and problem-solving prepares graduates for leadership roles in technology-driven organizations.
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