About this course
This degree equips our graduates with the skills and knowledge for designing experimental studies, building and fitting models for analysis, visualisation, estimation and prediction, machine learning for prediction, analysis of complex data relationships, storage and retrieval of big data. These skills are essential for the analysis of customer transactions and behaviour, scientific investigations, financial trends, and online behaviour in the new world.
Entry requirements
• Level: +2 (Faculty: Science) • Minimum Score: 3.0 • Passout Year: Recent
Requirements change between intakes, and a profile that falls short on one line can still be admissible on another. Bring your transcripts in and we will assess them against the rules that apply on the day you apply.