SLP in Data Science in Practice
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Faculty Website:Â Â Faculty of Engineering and the Built Environment
Department:Â Institute for Intelligent Systems
Programme Level: Continuous Education Programmes
Programme Name:Â SLP in Data Science in Practice
Programme Code: S6DSPQ
Medium of Facilitation: part-time
NQF Level:Â 0
NQF Credits:Â 0
SAQA:Â
Senate Approval: S395/2020(3)
Application Start Date: 1 April 2022
Application End Date: 10 December 2023
Campus:Â Auckland Park Kingsway
Contacts: Maggy Ngolwane 011 559-6459
Email: maggyn@uj.ac.za
Duration of Study:Â 6 Months
Purpose
The Data Science Across Disciplines Research Group from the Faculty of Engineering and the Built Environment is pleased to offer a short learning programme on Data Science in Practice. Tools associated with the Fourth Industrial Revolution – such as Data Analysis, Machine Learning Modelling and Data Visualisation – are becoming increasingly critical in industry, making it imperative that staff upskill in the area of Data Science as a whole. The purpose of this programme is to provide professionals, from diverse backgrounds, with a solid knowledge base in the field of Data Science as required when tackling problems across social, economic and technical fields. This programme is ideal for early career professionals in need of upskilling to become Data Scientists as it offers the necessary theoretical knowledge and practical experience.
Admission Requirements
Applicants require at least a Bachelor of Engineering (BEng) or Bachelor of Science (BSc) in the Mathematical Sciences; other relevant NQF level 7 qualifications will be considered on a case by case basis.
Selection Process
Selection is based on academic credit.
More Information
Please use the following application Specific Token when applying: FEBESLP
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