SLP in Machine Learning
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Faculty Website: Faculty of Engineering and the Built Environment
Department: Department of Electrical and Electronic Engineering Technology
Programme Level: Continuous Education Programmes
Programme Name: SLP in Machine Learning
Programme Code: S6MALQ
Medium of Facilitation: part-time
NQF Level: 0
NQF Credits: 0
SAQA:
Senate Approval: S513/2021(4)
Application Start Date: 17 January 2024
Application End Date: 10 December 2024
Campus: Auckland Park Kingsway
Contacts: Maggy Ngolwane 011 559-6459
Email: maggyn@uj.ac.za
Duration of Study: 150 Hours
Purpose
Machine Learning (ML) is a field that is applicable in almost all domains of work be it engineering, healthcare, financial services or theoretical science. It has become very crucial for all students/professionals to have a practical understanding of machine learning as well as have know-how of how to implement and solve real world problems using ML tools. We intend to provide students/professionals with hands on training so that students and professionals from all background can grasp the content easily.
Admission Requirements
NQF level 6 qualification with NQF level 5 mathematics.
Selection Process
Selection is based on academic credit.
More Information
Please use the following application Specific Token when applying: FEBESLP
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