Statistics courses
These courses collectively introduce students to statistical thinking and methods applicable across various fields, including science, business, and engineering. They cover essential topics such as data collection, analysis, probability, statistical modeling, and hypothesis testing, with a focus on practical applications using software like R and Python. Courses range from introductory statistics and data analytics to advanced topics like generalised linear models and time series analysis, emphasising hands on experience and decision-making skills. Students also learn to design research studies, develop predictive models, and optimise systems, preparing them for diverse career paths and enhancing their employability through a solid statistical foundation.
Undergraduate Courses:
- STAT1020: Statistical Reasoning and Literacy
- STAT1060: Business Decision Making
- STAT1070: Statistics for the Sciences
- STAT1300: Fundamentals of Statistics
- STAT2000: Applied Statistics and Research Methods
- STAT2020: Predictive Analytics
- STAT2110: Engineering Statistics
- STAT2300: Statistical Inference
- STAT3030: Generalised Linear Models
- STAT3040: Forecasting with Linear Time Series Models
- STAT3100: Systems Thinking for an Integrated Workforce
- STAT3800: Deterministic and Stochastic Optimisation
Postgraduate Courses:
The University of Newcastle acknowledges the traditional custodians of the lands within our footprint areas: Awabakal, Darkinjung, Biripai, Worimi, Wonnarua, and Eora Nations. We also pay respect to the wisdom of our Elders past and present.