NQF Level:
5
Credits:
185
Minimum Duration:
1.5 Years (3 Semesters)
Faculty:
Information, Communication & Future Technologies
Department:
AI, Robotics & Computer Science
Accreditation Authority:
Quality Council of Trade and Occupations
Shape the Future with Our Data Science Practitioner Qualification
This qualification provides essential skills and knowledge to collect, analyse, and visualise data for impactful business insights.
Why Choose This Qualification?
Equips learners to handle the data lifecycle, leveraging data for business decision-making, supported by a comprehensive foundation in data science.
Admission Requirements.
National Senior Certificate (NQF Level 4) or Recognition of Prior Learning (RPL) for relevant work experience.
Qualification Structure.
Modules covering data collection, analysis, visualisation, programming, and a Capstone project over three semesters.
Learning Outcomes.
Graduates will collect and transform data, apply advanced data analysis techniques, utilise programming and visualisation tools, and maintain data integrity.
International Comparability.
Comparable to the Diploma in Data Analytics Co-op from Toronto School of Management, focusing on foundational knowledge and vendor-agnostic skills.
Qualification Modes of Delivery and Support.
Offered through contact, blended, and distance learning with access to digital learning platforms and academic support.
Career Opportunities.
Data Analyst, Business Intelligence Analyst, Data Visualisation Specialist, Data Management Specialist, Junior Data Scientist.
Articulation Options.
Vertical: National Certificate: Business Analysis (NQF Level 6); Horizontal: National Certificate: Business Analysis Support Practice (NQF Level 5); Diagonal: Diploma in Information Technology (NQF Level 6).
Ensure Compliance, Empower Financial Accuracy.
Decode Data, Drive Tomorrow
