Capstone Project in Applied Data Analytics III

Undergraduate | 2026

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Mode icon
Mode
Mode
Your studies will be on-campus, and may include some online delivery
On campus
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Area/Catalogue
STAT 3013
Course ID icon
Course ID
208178
Campus icon
Campus
Adelaide City Campus East
Level of study
Level of study
Undergraduate
Unit value icon
Unit value
6
Course owner
Course owner
School of Mathematical Science
Course coordinator
Course coordinator
Lauren Kennedy (Maths)
Course level icon
Course level
3
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.
No
University-wide elective icon
University-wide elective course
No
Single course enrollment
Single course enrolment
No

Course overview

This is a capstone course in the mathematical sciences. Each student will work in a small group on a project. Research skills and written and oral communication skills will be developed. Ongoing written reporting, oral presentations, a project report, and participation in group work are required.

Course learning outcomes

  • Demonstrated familiarity with a specialised topic in an area of applied data analytics.
  • Demonstrated skills in critical analysis and interpretation of applied data analytics.
  • Demonstrated ability to work as part of a group to complete an assigned task.
  • Demonstrated ability to communicate applied data analytical ideas in both written and oral form.

Availability

Census date Icon
Census date
Fri 04/09/2026
Enrol by date
Enrol by date
Fri 21/08/2026
Last day to W
Last day to W
Fri 18/09/2026
Last day to WF
Last day to WF
Fri 16/10/2026

Class details

Adelaide City Campus East

Class number
Class number 53655
Section
Section LE01
Size
Size 15
Available
Available 13
Dates Days Time Campus Location Instructor
5 Aug - 23 Sep Wednesday 1:10pm - 2pm Adelaide City Campus East Engineering North, N218
14 Oct - 11 Nov Wednesday 1:10pm - 2pm Adelaide City Campus East Engineering North, N218

Prerequisite(s)

N/A

Corequisite(s)

N/A

Antirequisite(s)

  • must not have completed MATH3033 Capstone Project in Mathematical Sciences III OR must not have completed APPDATA3020 Capstone Project in Applied Data Analytics III at the University of Adelaide

Assumed knowledge

N/A

Textbook(s)

N/A

Inherent requirements

N/A

Other resources

N/A

Assessment

N/A

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