The University of Newcastle

Bachelor of Science (Statistics)

Science is about asking new questions and then answering them. Science underpins all things including technology, business, environmental management, research, and health. Complement and enhance your knowledge by developing business and communication skills.

Systems Thinking for an Integrated Workforce

Through a quality improvement and data analytics lens, the course develops the student’s ability to leverage workplace data and synergies, analyze and improve organizational systems, and realize quality processes and outcomes. Students will become systems thinkers, able to:

• Engage appropriate statistical techniques for assessing, describing, and improving systems, processes, and outcomes.
• Lead data-based decision making and quality improvement considerate of the system’s many stakeholders, utilizing the science, psychology, and management of systems and the underlying statistical principles.

Statistical Inference

STAT2300 further extends the theory, methods, and mechanics that underpin standard statistical analysis from STAT1300. The course builds upon advances in computational power by introducing exciting numerically-driven techniques such as jackknife and bootstrap resampling procedures for investigating and modeling data, thereby equipping students with tools for analysis of data when distributional assumptions are challenging.

Predictive Analytics

The world is awash in data, and there is a huge demand for people with the skills and knowledge to turn data into actionable insights. STAT2020 covers the basics of predictive data analytics, statistical computing, and visualization. Students develop an understanding of data science, from the basic skills of data processing and visualization to building sophisticated descriptive and predictive models.

Mathematics for Engineering, Science and Technology 2

This course covers the mathematics necessary to perform calculations in, and create models for, the real world of Science and Engineering. Specifically, it will demonstrate how to do mathematics in a three-dimensional world. The course describes the fundamental ideas of calculus of functions of one and two variables, differential equations, and linear algebra.

Fundamentals of Statistics

Statistics provides us with a quantitative framework to utilize data for describing, summarizing, and modeling the world around us. This course provides students with fundamental concepts of probability, random variables and their distributions, and then applies them to provide the theoretical foundation for data analysis through statistical modeling, estimation, and hypothesis testing.

Forecasting with Linear Time Series Models

Time series analysis is a statistical methodology to exploit historical data generated by real-world systems to forecast the future of these systems. This course presents both theory and applications of time series analysis at a level accessible to a wide variety of students and practitioners in statistics, economics and finance, science, engineering, and quantitative social sciences.

The courses shown above are a guide and don't reflect the exact year-by-year structure of the program.