Flinders University
2 years
A 2-year Master's degree in Mathematics and Statistics for graduates seeking advanced expertise in mathematical sciences and research skills. Ideal for those pursuing careers in data science, finance, research, or further postgraduate study.
Applicants must normally hold a bachelor degree or equivalent qualification in Mathematics, Statistics, or a closely related discipline. Applicants with a bachelor degree containing substantial mathematics or statistics (up to first-year level) will also be considered. Knowledge of second-year mathematics or statistics is assumed. Applicants who hold an Honours degree in Mathematics or a closely related area are not eligible to apply.
The Master of Science (Mathematics) consists of two years of full-time study with flexibility to choose topics complementing and extending undergraduate studies. The curriculum offers studies in all areas of mathematical sciences with emphasis on modern applied mathematics, including methods of applied mathematics, complex analysis, partial differential equations, and statistical science. The masters project is normally taken in the final two semesters, helping students develop research, communication and technical skills through in-depth investigation of a particular area under supervisor guidance.
Flinders University offers a comprehensive Master's program in Mathematics with a strong emphasis on modern applied mathematics and research skills. The course is designed to address topical concerns in industry and society, preparing graduates for both further research degrees and employment in competitive fields. The flexibility to choose specialized topics and the inclusion of a substantial research project ensure students develop both theoretical knowledge and practical expertise valued by employers.
This course provides specialist knowledge applicable in business and finance, data science, environment, health, insurance, and logistics. Potential occupations include credit bureau analyst, data and analytics officer, consultant in data analytics, quantitative assistant, trader, and consumer research executive. Potential employers include research centres, schools and universities, petroleum and nuclear industries, pharmaceutical companies, market research firms, banks, and accountancy firms.
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