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36106 Machine Learning Algorithms and Applications

36106 Machine Learning Algorithms and Applications

Anti-requisite(s)

Anti-requisite rule: (1 AND 2)
ItemDetails
1 36113 Applied Data Science for Innovation
2 36114 Advanced Data Science for Innovation

Requisite(s)

Requisite rule: ((1 OR 1a OR 1b OR 1c OR 1d OR 1e OR 1f))
ItemTypeDetails
1 Admission requisite Admission into C04372 Master of Data Science and Innovation
1a Admission requisite Admission into C04293 Master of Data Science and Innovation
1b Admission requisite Admission into C04380 Master of Business Analytics
1c Admission requisite Admission into C04379 Master of Business Analytics (Extension)
1d Admission requisite Admission into C11280 Graduate Certificate in Business Analytics
1e Admission requisite Admission into C11274 Graduate Certificate in Data Science and Innovation
1f Admission requisite Admission into C06124 Graduate Diploma in Data Science and Innovation

Requisite elaboration/waiver: Any student wishing to enrol in first- and second-year subjects concurrently must apply for a waiver.

Note: See also the information on understanding subjects in the UTS: Handbook.

The requisites for this subject, displayed above, are enforced when you attempt to enrol in the subject using My Student Admin. If you believe that your circumstances justify the requisites being waived in your particular case, you may submit an e-Request. Separate requests must be submitted for each of the three types of requisites any or all of which may be blocking your enrolment. The three types are Academic, Admission and Other Requisite. If your request is approved you will be notified, and you will then be able to enrol in the subject normally. Please read any advice displayed below, and only submit an e-Request if you believe you meet the specified criteria.