SLP in Data Driven Innovation

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Faculty Website:   Faculty of Engineering and the Built Environment
Department: Department of Electrical and Electronic Engineering Science
Programme Level: Continuous Education Programmes
Programme Name: SLP in Data Driven Innovation
Programme Code: S6EDDQ

Medium of Facilitation: part-time, Online
NQF Level: 0
NQF Credits: 0

Senate Approval: S240/2020(2)

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

Campus: Auckland Park Kingsway, Online

Contacts: Maggy Ngolwane 011 559-6459

Duration of Study: 6 Months

Programme Fees


Data is growing at a tremendous rate, and has become a critical feedstock to macro-economic development companies, governments, and organization are now investing in data skills and infrastructure as they have recognized that it has become the true invisible hand behind the driving growth and transformation in the 4th industrial Revolution. Hence, there is need for data engineering, data analytics, data wrangling, big data knowledge and skills, as well as driving innovation through data, in various sectors of the economy. This programme is designed to meet this need. Upon completion of this short learning programme, the participant will gain knowledge, exposure and experience in data driven innovation which can be used to turn data into insights, value and innovation.

Admission Requirements

Applicants require at least an NQF level 7 qualifications that includes basic mathematics (NQF level 5) or equivalent.

Selection Process

Selection is based on academic credit.

More Information

Please use the following application Specific Token when applying: FEBESLP
Extended BSc in Life and Environmental Sciences (Zoology and Chemistry)

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