Program Overview
The UNSW Master of Statistics equips students with advanced statistical analysis skills and expertise in statistical modeling, data analysis, and inference. Through a combination of core courses and elective options, students gain a solid foundation in theoretical and applied statistics, preparing them for careers in research, industry, and academia across various fields, including finance, engineering, and medical sciences.
Program Outline
Degree Overview:
The UNSW Master of Statistics aims to train statisticians for research or professional careers in government, industry, and academia. It provides a solid foundation in theoretical and applied statistics. The program emphasizes developing strong mathematical and statistical analysis skills and the ability to apply these skills to solve real-world problems. Graduates will gain expertise in statistical modeling, data analysis, and statistical inference, preparing them for careers in various fields such as finance, engineering, medical and biological sciences, and more.
Outline:
The Master of Statistics program consists of 10 courses, including two core courses and eight electives. Students must complete a supervised research project.
Core Courses:
- Advanced Stochastic Processes
- Statistical Inference
Elective Courses:
Students can choose from a wide range of elective courses, including:
- Optimisation
- Special Topics in Applied Mathematics
- Fluids, Oceans, and Climate
- Computational Mathematics for Science and Engineering
- Computational Mathematics for Finance
- Graph Theory
- Combinatorics
- Special Topics in Pure Mathematics
- Functional Analysis
- Banach and Operator Algebras
- Number Theory
- Algebraic Topology
- Complex Analysis
- Modern Analysis
- Harmonic Analysis
- Galois Theory
- Modules and Representation Theory
- Special Topics in Statistics
- Applied Regression Analysis
- Continuous Time Financial Modelling
- Measure, Integration, and Probability
- Statistical Methods in Epidemiology
- Data Mining and its Business Applications
- Time Series
- Survival Analysis
- Multivariate Analysis
- Longitudinal Data Analysis
- Nonparametric Statistics
Assessment:
Assessment methods may vary depending on the specific courses and may include:
- Examinations
- Quizzes
- Homework assignments
- Projects
- Presentations
- Research papers
Teaching:
The program is taught by a team of experienced faculty members who are actively involved in research and industry collaborations. The faculty uses a variety of teaching methods, including lectures, tutorials, workshops, and project-based learning. The program also provides opportunities for students to engage in research projects and internships.
Careers:
Graduates of the Master of Statistics program are well-prepared for careers in a wide range of fields, including:
- Banking and finance
- Insurance and investment
- Environmental modeling
- Oceanography
- Meteorology
- Computing and information technology
- Government
- Education
- Research
