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Data Science is a fast growing, important, and globally in-demand discipline. This course is designed to introduce students to the fundamentals of this field. It will start by introducing key mathematical and statistical concepts and applications like exploratory data analysis, probability (with a focus on essential theories, discrete and continuous random variables), modelling, inference, and bivariate data. It will also address a range of more applied topics where data is important to making decisions, including data wrangling, data analysis, and data visualisation, supported by the statistical programming language R.
1. MATH101 or EMTH117, or2. NCEA 14 Credits at level 3 Mathematics, or3. Cambridge: D at A level or an A at AS level in Mathematics, or4. IB: 4 at HL or 5 at SL in Mathematics, or5. Approval of the Head of School based on alternative prior learning.
STAT101 and DIGI103
Students must attend one activity from each section.
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Domestic fee $1,099.00
International fee $5,388.00
* All fees are inclusive of NZ GST or any equivalent overseas tax, and do not include any programme level discount or additional course-related expenses.
For further information see Mathematics and Statistics .