Mathematics for Data Analytics B

Postgraduate | 2026

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Mode
Mode
Your studies will be on-campus, and may include some online delivery
On campus
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Area/Catalogue
MATH 5110
Course ID icon
Course ID
208378
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Campus
Adelaide City Campus East, Mawson Lakes
Level of study
Level of study
Postgraduate
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Unit value
6
Course owner
Course owner
School of Mathematical Science
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Course level
5
Work Integrated Learning course
Work Integrated Learning course
No
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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.
Yes
University-wide elective icon
University-wide elective course
Yes
Single course enrollment
Single course enrolment
Yes
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Note:
Course data is interim and subject to change

Course overview

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

  • Linear Algebra
  • Multivariable Calculus
  • Probability

Course learning outcomes

  • Apply techniques from linear algebra to solve problems involving vector spaces, matrices, eigenvalues and linear transformations.
  • Formulate and solve optimisation problems using multivariable calculus.
  • Perform computations with random variables and probability and explain the relation to entropy.
  • Use Python to verify solutions and produce solutions for more complex problems.
  • Present results of calculations in a clear and logical manner.

Prerequisite(s)

  • must have completed MATH5109 Mathematics for Data Analytics A

Corequisite(s)

N/A

Antirequisite(s)

N/A

Degree list
The following degrees include this course