Data Science

In the module you will develop a strong foundation in the mathematics and statistics that underpin modern data science and machine learning. You will study topics including probability, statistics, calculus, linear algebra, and vector and matrix operations, applying them to real-world data problems. The module supports rigorous analytical reasoning, enabling you to interpret, validate, and optimise data-driven models. Through applied problem solving, you will gain the mathematical confidence needed to extract meaningful insights from complex datasets across a range of professional and research contexts.

In the module you will develop core skills in data analytics and visualisation, covering the full analytics lifecycle from data wrangling and exploratory analysis to predictive modelling and interactive visual storytelling. You will work with real-world datasets using industry-standard tools, while applying statistical reasoning and ethical practice. Through applied tasks and a practical project, you will learn to communicate insights clearly to diverse audiences and support evidence-based decision-making. By the end, you will be equipped for roles in analytics, consultancy, and research across a range of professional domains.

In the module you will gain a comprehensive introduction to machine learning and deep learning, with a strong focus on real-world applications across diverse domains. You will develop practical skills using frameworks such as Scikit-learn, TensorFlow, and PyTorch, alongside theoretical understanding of core and advanced algorithms. The module prepares you to design, train, evaluate, and deploy models responsibly, with attention to bias, fairness, explainability, and sustainability. By the end, you will be equipped to apply ML and DL techniques to interdisciplinary and socially meaningful problems.

In the module you will explore how data science is applied across industries such as banking, healthcare, agriculture, and journalism. You will gain hands-on experience with industry-standard tools and cloud platforms while working with real-world datasets. The module develops your understanding of ethical and legal considerations, including data privacy and bias, alongside practical problem-solving and teamwork skills. You will learn to analyse complex data, apply appropriate algorithms, and communicate insights effectively to stakeholders, broadening your awareness of career opportunities and professional practice in data science.

In the module you will explore a focused area of interest aligned with your programme, integrating theoretical knowledge with practical application through an independent or team-based project. You will design and carry out an in-depth investigation into a real-world problem, developing research, analytical, and professional skills. The project emphasises equality, diversity, inclusion, sustainability, and ethical practice throughout the design and delivery process. You will also engage with intellectual property considerations and global challenges while working to industry standards. Supported by a dedicated supervisor, you will demonstrate readiness for professional practice and produce a meaningful, impactful contribution to your field.