DATAX504

Practical Machine Learning for Data Analysis

2026

15

500

B Trimester

Hamilton

Practical Machine Learning in Data Analysis" is a graduate-level course focused on applying machine learning methods to real-world data analysis tasks. Students will learn to preprocess data, build models, evaluate their performance, and deploy them for practical applications across diverse domains such as healthcare and finance. Emphasis is placed on practical implementation, critical evaluation, and the use of programming tools like Python or R.

Teaching Periods and Locations

  • 26A (HAM)
    Cancelled
    Contact the School or Faculty Office for more information.
26A (HAM)
 Cancelled Contact the School or Faculty Office for more information.
26B (HAM)
Paper outline 		B Trimester :
13 Jul 2026 - 08 Nov 2026 		Hamilton 100% internal assessment

Timetabled lectures

26B (HAM)
Name Day Time Room Dates
Lecture 1 Mon 1:00 PM - 2:00 PM K.G.06, Hamilton Jul 13 - Oct 18
Lecture 2 Tue 11:00 AM - 12:00 PM S.1.05, Hamilton Jul 14 - Oct 18
Lecture 3 Thur 12:00 PM - 1:00 PM K.G.01, Hamilton Jul 16 - Oct 18

There may be activities other than lectures or for other occurrences; for more details, check the online timetable for this paper.

Indicative Fees

    • You will be sent an enrolment agreement which will confirm your fees. Tuition fees shown are indicative only and may change. There are additional fees and charges related to enrolment - please see the Table of Fees and Charges for more information.

Domestic
International
26A (HAM) $1,283
26B (HAM) $1,283

You will be sent an enrolment agreement which will confirm your fees. Tuition fees shown are indicative only and may change. There are additional fees and charges related to enrolment - please see the Table of Fees and Charges for more information.
26A (HAM) $5,697
26B (HAM) $5,697

You will be sent an enrolment agreement which will confirm your fees. Tuition fees shown are indicative only and may change. There are additional fees and charges related to enrolment - please see the Table of Fees and Charges for more information.

Additional information

  • Paper details current as of 7 Nov 2025 01:01am
  • Indicative fees current as of 13 Nov 2025 01:20am