Topics in Data Science A

Undergraduate | 2026

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Area/Catalogue
STAT 4001
Course ID icon
Course ID
200059
Level of study
Level of study
Undergraduate
Unit value icon
Unit value
6
Course level icon
Course level
4
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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
Discipline group A
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

Specialised study in an area of expertise of an internal or visiting academic. Topics will be of significance in contemporary mathematical research. Specific choice of topic will be influenced by research activities in the areas of data science, analysis or statistics.

Course learning outcomes

  • Apply research skills to gain new knowledge in a topic of data science
  • Demonstrate knowledge of advanced concepts, theorems and techniques of data science, applied statistics or analysis
  • Apply these mathematical, computational and statistical techniques to real-world situations
  • Communicate effectively to clearly describe the process and/or results

Prerequisite(s)

N/A

Corequisite(s)

N/A

Antirequisite(s)

N/A

Assessment

A range of assignments designed to support course outcomes

Degree list
The following degrees include this course
Study Bachelor of Mathematics (Honours) at Adelaide University - Information for Domestic students