Master of Science - MS Big Data Science Queen Mary University of London, England

The MSc Big Data Science program at Queen Mary University of London is an advanced course designed for students who have an interest in big data and its related sectors. The program aims to provide comprehensive knowledge of technologies and techniques in big data management and analytics. The program typically covers subjects like Data Mining, Machine Learning, Database Systems, and Statistical Computing. It trains students to develop and implement machine learning and data analytic algorithms, and understand the principles underlying these processes. Students will also gain hands-on experience working with data sets and the opportunity to work on a significant data science project, typically in collaboration with a business or academic unit within the University. Other details, like the duration, course structure, fees, and entry requirements, may vary and should be checked directly from the university's official website.

Queen Mary University of London (QMUL) is a prestigious public research university located in London, England. Established in 1887 as the People's Palace, it joined the University of London in 1915 and grew through subsequent mergers. Spread across multiple campuses in East London, its Mile End campus is notably the largest self-contained campus in the capital. Recognized for its diverse student body, QMUL boasts a rich tapestry of cultures and backgrounds. The university offers a wide range of undergraduate, postgraduate, and research programs across various disciplines. It is particularly renowned for its research outputs in the fields of Medicine, Dentistry, and Humanities. Beyond academics, the university promotes a vibrant student life, with numerous clubs, societies, and events. QMUL's alumni have made significant contributions in various sectors, from arts to sciences, and have gained recognition globally. In recent years, it has consistently ranked among the top universities in the UK and the world, reflecting its commitment to excellence in education and research.