Higher Diploma in Data Analytics
The Higher Diploma in Science in Data Analytics provides the practical knowledge and skills in the area of computing and data science for learners who wish to upskill or reskill in this area. The programme aims to develop learners' knowledge of the theory and practice of Data Analytics necessary for them to secure employment and perform as graduate level ICT /Data Analytical practitioners in a broad range of commercial, industrial and public sector environments. Learners will benefit from theoretical knowledge fundamental to apply advanced analytics in web and business application, predictive modelling, statistics, programming, machine learning, and advanced visualisation to data sets through a variety of tools and techniques in order to generate actionable insights for stakeholders and support strategic decision making. The objectives of the programme are to: Develop learner’s criticality in order to analyse industry trends in Big Data. Develop learners who are capable of performing robust, significant reports on the future orientation of the field of data analytics with specific emphasis on the problem domain. Provide learners with a platform to develop the requisite technical and design skills required by industry and to deepen knowledge of statistical analysis and analytical models. Enable learners to implement scalable Big Data applications. Prepare learners to work effectively and collaboratively in the execution of common goals. Provide work opportunities where learners can apply knowledge to a real-world situation.

Description
The Higher Diploma in Science in Data Analytics provides the practical knowledge and skills in the area of computing and data science for learners who wish to upskill or reskill in this area. The programme aims to develop learners' knowledge of the theory and practice of Data Analytics necessary for them to secure employment and perform as graduate level ICT /Data Analytical practitioners in a broad range of commercial, industrial and public sector environments. Learners will benefit from theoretical knowledge fundamental to apply advanced analytics in web and business application, predictive modelling, statistics, programming, machine learning, and advanced visualisation to data sets through a variety of tools and techniques in order to generate actionable insights for stakeholders and support strategic decision making. The objectives of the programme are to: Develop learner’s criticality in order to analyse industry trends in Big Data. Develop learners who are capable of performing robust, significant reports on the future orientation of the field of data analytics with specific emphasis on the problem domain. Provide learners with a platform to develop the requisite technical and design skills required by industry and to deepen knowledge of statistical analysis and analytical models. Enable learners to implement scalable Big Data applications. Prepare learners to work effectively and collaboratively in the execution of common goals. Provide work opportunities where learners can apply knowledge to a real-world situation.
Intakes
September Intake 2025 ( Open )
English Test Scores
- DET (Duolingo English test) [ 105 ]
- IELTS (International English Language Testing System) [ 6.0 ]
- PTE (Pearson Test of English) [ 55 ]
- TOEFL Internet Based [ 60 ]