1. Handbook
  2. Subjects
  3. Text Analytics for Health
  4. Eligibility and requirements

Text Analytics for Health (COMP90090) // Eligibility and requirements

You’re viewing the 2024 Handbook:
Or view archived Handbooks

Eligibility and requirements

Prerequisites

Permission of the coordinator is required prior to enrolling in this subject (some programming experience in Python is required)

OR

Completion of one of the subjects below

Code Name Teaching period Credit Points
COMP90059 Introduction to Programming
Semester 2 (On Campus - Parkville)
Semester 1 (On Campus - Parkville)
 12.5
COMP90038 Algorithms and Complexity
Semester 1 (On Campus - Parkville)
Semester 2 (On Campus - Parkville)
 12.5

Or equivalent

OR

Admission into or selection of one of the following:

  • Admission into or selection of one of the following:
    • MC-IT Master of Information Technology
    Admission into or selection of one of the following:
    • MC-CS Master of Computer Science
    Admission into or selection of one of the following:
    • GD-CS Graduate Diploma in Computer Science
    Admission into or selection of one of the following:
    • MC-IS Master of Information Systems

Corequisites

None

Non-allowed subjects

None

Recommended background knowledge

Some experience with Python and data science methods

Inherent requirements (core participation requirements)

The University of Melbourne is committed to providing students with reasonable adjustments to assessment and participation under the Disability Standards for Education (2005), and the Assessment and Results Policy (MPF1326). Students are expected to meet the core participation requirements for their course. These can be viewed under Entry and Participation Requirements for the course outlines in the Handbook.

Further details on how to seek academic adjustments can be found on the Student Equity and Disability Support website: http://services.unimelb.edu.au/student-equity/home

Last updated: 31 January 2024