COURSE CURRICULUM

The Master of Science in Data Science program includes a series of core modules designed to build both foundational knowledge and advanced technical skills in data analysis and artificial intelligence. It begins with Fundamentals of Data Science, which introduces key concepts, tools, and techniques used in handling and interpreting data. Students then progress to Applied Data Science 1 and Applied Data Science 2, where they gain practical experience in applying data science methods to real-world problems. Data handling and visualisation focuses on preparing, cleaning, and presenting data in meaningful ways to support decision-making. Data mining and discovery develops skills in identifying patterns, trends, and insights from large datasets, while data analysis with AI introduces the use of artificial intelligence techniques to enhance analytical capabilities. Machine learning and neural networks provide an in-depth understanding of advanced predictive modelling and intelligent systems. The Data Science Professional Team Project allows students to collaborate on solving complex, real-world data problems, strengthening teamwork and industry readiness. Module delivery may vary depending on institutional scheduling. Assessment methods include assignments, projects, and written examinations, ensuring students are evaluated through both practical application and theoretical understanding. Overall, the program equips graduates with strong analytical, technical, and collaborative skills required for careers in data science and related fields.