Data Science, BSc (Hons)

Course summary

Data scientists/analysts are in demand across a large range of sectors, from healthcare to finance, from marketing to transport. This course aims to provide the essential training you will need to be successful in this fast-moving, dynamic field. The course brings together a range of techniques that the modern data scientist needs. You will study modules in mathematics, data analysis and computing and tackle a variety of interesting and engaging problems from the latest research studies, business and industry. Key Course Benefits • You will have the chance to equip yourself with transferable and professional skills which prepare you for employment in industry, business, or education. • You will be provided with the opportunity to develop critical and reflective skills required for problem solving in a wide variety of contexts. • The course has a particular emphasis on modern applications and the use of appropriate computational methods, software and technology. • You can expect to improve your knowledge and understanding of the theory and practice of the latest data science, as well as the use of computational methods. • You will have the chance to gain industry-relevant experience* as you apply real-world, commercial software development practices within teams of your peers, preparing you for your career after graduation. *UK and international opportunities  Please note that we are unable to guarantee any UK or International opportunities (whether required or optional) such as internships, work experience, field trips, conferences, placements or study abroad opportunities and that all such opportunities may be subject to additional costs (which could include, but is not limited to, equipment, materials, bench fees, studio or facilities hire, travel, accommodation and visas), competitive application, availability and/or meeting any applicable travel COVID and visa requirements. To ensure that you fully understand the visa requirements, please contact the International Office. 

Year One In your first year, you will be taught the fundamental skills and concepts needed to begin your journey as a data scientist. You’ll be familiarised with the mathematical, statistical and computational foundations, and you will apply those principles in regular laboratory sessions which help solidify your understanding. You will also begin developing the professional skills you will need in your day-to-day career on graduation: working as part of a team, the ethical and legal issues around data structure and models. Modules Calculus - 20 credits Algebra - 20 Credits Programming: Concepts and Algorithms - 20 Credits Working with Data - 20 Credits Programming: Professional Practice - 20 Credits Probability and Statistics - 20 Credits Year Two In year two, you will develop more advanced knowledge and skills to do with data science, linear statistical models and artificial intelligence, amongst others. Modules Artificial Intelligence - 20 Credits Linear Algebra and Differential Equations - 20 Credits Advanced Algorithms - 20 Credits Data Science - 20 Credits Linear Statistical Models - 20 Credits Data Science Group Project - 20 Credits Placement Year There’s no better way to find out what you love doing than trying it out for yourself, which is why a work placement* can often be beneficial. Work placements usually occur between your second and final year of study. They’re a great way to help you explore your potential career path and gain valuable work experience, whilst developing transferable skills for the future. If you choose to do a work placement year, you will pay a reduced tuition fee* of £1,250. For more information, please go to the fees and funding section. During this time, you will receive guidance from your employer or partner institution, along with your assigned academic mentor who will ensure you have the support you need to complete your placement. Final Year The final stage of the BSc (Hons) in Data Science covers advanced topics in data science including Big Data management and visualisation methods, machine learning algorithms, Artificial Neural Networks and advanced statistical methods. Modules Data Visualisation - 20 Credits Statistical methods for Data Science - 20 Credits Machine Learning - 20 Credits Project Discovery - 20 credits Dissertation and Project Artefact - 20 credits Optional Modules Additional Year If you meet the criteria, you could choose to take an additional fourth year master's option, which will deepen your knowledge and expertise*.   This year provides insight into more advanced topics in data science and can act as a stepping stone to postgraduate research or further study. We regularly review our course content, to make it relevant and current for the benefit of our students. For these reasons, course modules may be updated. Before accepting any offers, please check the website for the most up to date course content. For full module details please check the course page on the Coventry University website. *For further information please check the course page on the Coventry University website