Course overview
The exceptional development, since the 1990s, of new hardware dedicated to high-performance mathematical computations, and the parallel availability of large data sets due to the rise of the internet, has made viable the field of data analytics, where large quantities of data can be handled and studied. This course introduces learners to two of the mathematical pillars of data analytics, linear algebra and calculus. The emphasis is on developing skill sets allowing learners to progress to more advanced courses.
- Matrices
- Differentiation
- Integration
Course learning outcomes
- Perform vector and matrix algebra, including obtaining determinants and matrix inverses.
- Calculate derivatives and integrals of elementary functions
- Formulate and solve problems involving derivatives and integrals
- Apply mathematical concepts to applications in data science
- Present results of calculations in a clear and logical manner
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The Student Contribution amount displayed below is for students commencing a new program from 2021 onwards. If you are continuing in a program you commenced prior to 1 January 2021, or are commencing an Honours degree relating to an undergraduate degree you commenced prior to 1 January 2021, you may be charged a different Student Contribution amount from the amount displayed below. Please check the Student Contribution bands for continuing students here. If you are an international student, or a domestic student studying in a full fee paying place, and are continuing study that you commenced in 2025 or earlier, your fees will be available here before enrolments open for 2026.