| Requisite rule: (((1 OR 1a OR 1b OR 1c OR 1d OR 1e) AND 2) OR ((3 OR 3a OR 3b OR 3c OR 3d OR 3e OR 3f OR 3g OR 3h OR 3i OR 3j) AND (4 OR 4a)) OR (5)) |
| Item | Type | Details |
|---|
| 1 | Academic requisite |
Must have completed at least 120 credit points in Bachelor's Degree owned by FEIT |
| 1a | Academic requisite |
Must have completed at least 120 credit points in Bachelor's Honours Embedded owned by FEIT |
| 1b | Academic requisite |
Must have completed at least 120 credit points in Bachelor's Combined Degree owned by FEIT |
| 1c | Academic requisite |
Must have completed at least 120 credit points in Bachelor's Combined Honours owned by FEIT |
| 1d | Academic requisite |
Must have completed at least 120 credit points in Bachelor's Combined Degree co-owned by FEIT |
| 1e | Academic requisite |
Must have completed at least 120 credit points in Bachelor's Combined Honours co-owned by FEIT |
| 2 | Academic requisite |
31250 Introduction to Data Analytics |
| 3 | Admission requisite |
Admission into Master's Coursework owned by FEIT |
| 3a | Admission requisite |
Admission into Master's Combined Coursework owned by FEIT |
| 3b | Admission requisite |
Admission into Master's Combined Coursework co-owned by FEIT |
| 3c | Admission requisite |
Admission into Grad Dip Extending Previous Area of Study owned by FEIT |
| 3d | Admission requisite |
Admission into Grad Dip New Area of Study owned by FEIT |
| 3e | Admission requisite |
Admission into Graduate Certificate's Coursework owned by FEIT |
| 3f | Admission requisite |
Admission into C04380 Master of Business Analytics |
| 3g | Admission requisite |
Admission into C04379 Master of Business Analytics (Extension) |
| 3h | Admission requisite |
Admission into C11280 Graduate Certificate in Business Analytics |
| 3i | Admission requisite |
Admission into C04372 Master of Data Science and Innovation |
| 3j | Admission requisite |
Admission into C04293 Master of Data Science and Innovation |
| 4 | Academic requisite |
32130 Fundamentals of Data Analytics |
| 4a | Academic requisite |
36106 Machine Learning Algorithms and Applications |
| 5 | Admission requisite |
Admission into C04370 Master of Data Science and Innovation |
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.
