Mathematics for Data Analytics B

Postgraduate | 2026

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Area/Catalogue
MATH 5014
Course ID icon
Course ID
201686
Level of study
Level of study
Postgraduate
Unit value icon
Unit value
6
Course level icon
Course level
1
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Inbound study abroad and exchange
Inbound study abroad and exchange
The fee you pay will depend on the number and type of courses you study.
No
University-wide elective icon
University-wide elective course
No
Single course enrollment
Single course enrolment
No
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Note:
Course data is interim and subject to change

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 students to advanced concepts in linear algebra, calculus, and probability, which form the three mathematical pillars of data analytics. The emphasis is on developing skill sets allowing students to progress to specialised courses in data analytics. Python is utilised throughout as a means of implementing mathematical methods with technology.

Prerequisite(s)

N/A

Corequisite(s)

N/A

Antirequisite(s)

N/A