UO Advanced Topics in Data Analytics

Undergraduate | 2026

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Area/Catalogue
INFO 3022
Course ID icon
Course ID
203928
Level of study
Level of study
Undergraduate
Unit value icon
Unit value
6
Course level icon
Course level
3
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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

This course aims to extend the knowledge and skills in applying a range of advanced data analytics techniques and integrate responsibility into the systems they design, build and deploy. The aim of this course is topics covered in this course include responsible data analytics, time series analysis, reinforcement learning, deep neural networks and computer vision, and natural language processing.

Course learning outcomes

  • Apply advanced analytics methods to solve complex data analytics problems.
  • Design an approach to AI and Data Analytics problems in specialised domains including natural language processing, speech and vision.
  • Critique emerging technologies in Artificial intelligence (AI), considering their scope, limitations and application.
  • Apply principles of responsible AI at every stage of the Data Analytics and AI-enabled application development.

Prerequisite(s)

N/A

Corequisite(s)

N/A

Antirequisite(s)

N/A