Overview
A Master of Science in Data Science & Artificial Intelligence covers machine learning, deep learning, statistical modelling, big-data tools and applied AI, combining theory with project work on real datasets. It builds on an undergraduate background in computing, mathematics, statistics or a related field.
What You Will Study
Core topics include machine learning and deep learning, data mining and warehousing, natural language processing, computer vision, cloud computing and data visualisation, with a dissertation or capstone project in the final stage.
Admission & Fees
Entry normally requires a bachelor’s degree in a relevant subject; the exact requirement, fee and duration are set by each university, so confirm them on the official page of the university you apply to.
Career Paths
Graduates commonly move into data science, machine learning engineering, data analysis, AI research support and business analytics roles. Employment outcomes are never guaranteed and depend on the employer and the graduate’s skills.
