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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.
This occurrence of the course is for approved online students only. On-campus students should enrol in the (C) occurrence of this course.Students may be required to sit invigilated tests and exams in-person in Christchurch, or with off-campus in-person invigilation, or with online invigilation, depending on the student's location. Where online invigilation is required the student will need to ensure that they have a suitable internet connection and access to technology including a webcam, and may be required to download and install online invigilation software. Also see Clashes and alternative arrangements
1. MATH101, 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.
Giulio Dalla Riva
General information for students
Domestic fee $926.00
International fee $4,563.00
* 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