Data Science - MSci

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. 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. Key highlights 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. Practical learning: apply your knowledge in computational labs, real-world case studies and research projects. Build experience with techniques used by data analysts. 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. Why you should study this course You’ll have the opportunity to: gain practical, employer-valued skills that could help you in a range of analytical roles. apply knowledge through embedded case studies, computational labs, and group projects, tackling genuine business and industry challenges. boost your employability with an optional placement year or international study experience, with support from Coventry University’s careers team. progress to the integrated master's degree in data science (subject to meeting progression requirements), diving deeper into advanced topics like text, image and signal processing. learn to work with AI tools, programming languages and research methods, while critically evaluating your role in data science. Each benefit is designed to enhance employability, technical skills, and practical experience - whether through core study or optional extras. This course includes a sandwich (placement year) option. For the most update to date course details, please visit our website.