COURSE CURRICULUM

The MSc Data Science curriculum provides a comprehensive blend of programming, data analytics, machine learning, research, and ethical practices to prepare students for advanced careers in data science and artificial intelligence. The programme begins with Research Methods for Computing, which develops the academic and professional research skills needed to investigate complex data-driven problems, evaluate existing research, design methodologies, and conduct independent projects. Python Notebooks and Scripting strengthens programming expertise by teaching students how to use Python for data manipulation, automation, scripting, and interactive analysis using modern notebook environments that are widely adopted across industry and research. Data Analysis and Visualisation Principles introduces statistical techniques, exploratory data analysis, and effective visualisation methods that enable students to transform raw data into meaningful insights and communicate findings clearly to technical and non-technical audiences. Applied Data Analysis Techniques for Business focuses on solving real organisational challenges using data-driven approaches, helping students understand how analytics supports business strategy, operational efficiency, customer behaviour analysis, and informed decision-making. Ethical Data Science examines the responsible use of data and artificial intelligence, covering topics such as privacy, bias, transparency, fairness, governance, legal compliance, and the ethical implications of collecting and analysing large datasets. Machine Learning and Optimisation provides advanced knowledge of predictive modelling, supervised and unsupervised learning, optimisation algorithms, and AI techniques that enable students to develop intelligent systems capable of recognising patterns, making predictions, and supporting automated decision-making across diverse industries. The programme concludes with the Dissertation, where students undertake an independent research project, applying the technical, analytical, and research skills acquired throughout the course to investigate a significant data science challenge and produce innovative solutions. Throughout the programme, students gain hands-on experience using industry-standard tools and technologies while working with realistic datasets from various sectors. Overall, the curriculum combines strong technical programming skills, statistical analysis, business intelligence, ethical awareness, research capability, and machine learning expertise to prepare graduates for careers as Data Scientists, Machine Learning Engineers, AI Specialists, Data Engineers, Business Intelligence Analysts, Analytics Consultants, Research Scientists, and other advanced data-focused roles across healthcare, finance, technology, government, manufacturing, and many other rapidly growing industries.