University of Technology Sydney

36114 Advanced Data Science for Innovation

Warning: The information on this page is indicative. The subject outline for a particular session, location and mode of offering is the authoritative source of all information about the subject for that offering. Required texts, recommended texts and references in particular are likely to change. Students will be provided with a subject outline once they enrol in the subject.

Subject handbook information prior to 2022 is available in the Archives.

UTS: Transdisciplinary Innovation
Credit points: 4 cp
Result type: Grade, no marks


This subject provides participants a holistic view of driving innovation using Machine Learning. Participants learn advanced concepts and techniques for building innovative Machine Learning solutions such as Neural Networks, SMOTE or Xgboost. They also gain other skills that help them better manage production-ready end-end solutions. This subject also consolidates the skills such as Agile methodology, Communication and Risk Management.