SLP in Machine Learning: Predictive Analysis

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General

Faculty Website:   Faculty of Engineering and the Built Environment
Department: 
Programme Level: Continuous Education Programmes
Programme Name: SLP in Machine Learning: Predictive Analysis
Programme Code: S6MLPO

Medium of Facilitation: Online
NQF Level: 0
NQF Credits: 0
SAQA: 

Senate Approval: S592/2021(4)

Application Start Date: 17 January 2024
Application End Date: 10 December 2024

Campus: Online

Contacts: UJ Call Centre 011 559-4555
Email:

Duration of Study: 14 Hours

Programme Fees


Career Opportunities

The purpose of the SLP, Machine Learning&%2358; Predictive Analysis for Business Decisions, is to introduce students to the use of predictive analysis to guide business decisions. This SLP is aimed at those interested in gaining a deeper understanding of machine learning as vital aspect of AI will drive the age of enterprise big data and provide the background knowledge needed to smartly implement these digital tools into organizations.


Admission Requirements

NQF level 5 qualification and; A minimum of three years’ work experience at middle to senior management or experience working in and/or knowledge of computer programming, electrical engineering, or related disciplines


Selection Process

Selection is based on academic credit.


More Information

https://www.uj.ac.za/admission-aid/continuing-education-programmes/
Extended BSc in Life and Environmental Sciences (Zoology and Chemistry)

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