SLP in Machine Learning: Predictive Analysis for Business Decisions
Home » University Courses »General
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: Predictive Analysis for Business Decisions
Programme Code: S6MLPO
Medium of Facilitation: Online
NQF Level: 0
NQF Credits: 0
SAQA:
Senate Approval: S592/2021(4)
Application Start Date: 1 April 2022
Application End Date: 10 December 2022
Campus: Online
Contacts: Maggy Ngolwane 011 559-6459
Email: maggyn@uj.ac.za
Duration of Study:
14 Hours
Purpose
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 base don academic credit.
More Information
Please use the following application Specific Token when applying: FEBESLP
UJ Faculties
| All FacultiesCollege of Business and Economics (CBE)
Created from the former Faculties of Management, and Economic and Financial Sciences
Faculty of Engineering & the Built Environment
First in South Africa offering a full range of professional engineering qualifications