Data Science MSci

<strong>Explore how data can be used to address real-world challenges. Course modules offer opportunities to gain hands-on experience in areas such as AI, analytics and programming, helping you build skills that are relevant to roles in technology, business, science and related fields.</strong> <br/><br/>This course is designed for those passionate about data-driven problem-solving. You’ll have the opportunity to develop knowledge and skills in mathematics, AI and machine learning which are relevant across sectors such as IT, healthcare and finance. With hands-on projects, optional placement opportunities and the potential to progress to advanced study through the integrated master’s degree in data science route, this course supports your preparation for a range of roles in data science and related fields.<br/><br/><strong>Key highlights</strong><br/>• Industry-aligned skills: develop your knowledge and skills in mathematics, statistics, modelling, programming and AI to analyse complex data. These skills are applicable across sectors where data analysis is in demand.<br/><br/><br/><br/>• Practical learning: apply your knowledge in computational labs, real-world case studies and research projects. Build experience with techniques used by data analysts.<br/><br/><br/><br/>• Independent research project: undertake an individual research project, supported by an academic supervisor, giving you the opportunity to explore an area of interest in depth.<br/><br/><br/><br/><strong>Why you should study this course</strong><br/>You’ll have the opportunity to:<br/>- gain practical, employer-valued skills that could help you in a range of analytical roles.<br/><br/><br/>- apply knowledge through embedded case studies, computational labs, and group projects, tackling genuine business and industry challenges.<br/><br/><br/>- boost your employability with an optional placement year or international study experience, with support from Coventry University’s careers team.<br/><br/><br/>- progress to the integrated masters degree in data science (subject to meeting progression requirements), diving deeper into advanced topics like text, image and signal processing.<br/><br/><br/>- learn to work with AI tools, programming languages and research methods, while critically evaluating your role in data science.<br/><br/><br/>Each benefit is designed to enhance employability, technical skills, and practical experience - whether through core study or optional extras. <br/><br/>Please visit our website for the most up-to-date information.