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This course develops foundations for data science techniques. The focus of this course is on applications to modern data processing problems. Students will be introduced to multivariate statistical, linear algebra and calculus topics that are needed in data science and related subjects.
be familiar with standard techniques in linear algebra relevant to data sciencebe proficient with multivariate calculus techniques in probabilitydevelop problem solving skills including via softwaredevelop communication skills
This course will provide students with an opportunity to develop the Graduate Attributes specified below:
Employable, innovative and enterprising
Students will develop key skills and attributes sought by employers that can be used in a range of applications.
One of DATA101, STAT101 or EMTH119; and one of MATH102, MATH199 or EMTH118
MATH203 / EMTH211
Students must attend one activity from each section.
General information for students
Domestic fee $844.00
International fee $3,950.00
* 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