Learning Outcomes.
Graduates apply AI technologies to enhance business efficiency, customer engagement, and operational innovation; design and deploy AI models for data-driven decision-making; integrate ethical considerations into AI solutions, prioritizing transparency and fairness; lead AI-focused teams and projects; develop entrepreneurial ventures leveraging AI for competitive advantage.
International Comparability.
Comparable to programmes at University of Toronto (Canada), London School of Economics (UK), and University of Sydney (Australia), ensuring global competitiveness.
Qualification Modes of Delivery and Support.
Contact Learning, Blended Learning, and Distance Learning, supported by Moodle LMS, digital resources, and virtual or physical labs.
Career Opportunities.
AI Consultant, Machine Learning Engineer, Digital Transformation Specialist, AI Project Manager, Cybersecurity Analyst, AI Research Scientist.
Articulation Options.
Horizontal: Bachelor of Science in Data Science (NQF Level 7), Bachelor of Commerce in Information Systems (NQF Level 7). Vertical: Postgraduate Diploma in AI and Business (NQF Level 8), Masters in Data Analytics and AI (NQF Level 9).
Ensure Compliance, Empower Financial Accuracy.
Ensures alignment with ethical and governance practices in AI-driven businesses.