The Data Science and Analytics MSc course at Royal Holloway offers a comprehensive study curriculum designed to provide students with the skills and knowledge required to become a successful data scientist. The course explores various areas encompassing data science and analytics, helping equip students with an understanding of statistical thinking, computational and mathematical modelling, big data's challenges and the latest professional tools, among others. Course Content: The MSc Data Science and Analytics course, blending computational theory with practical data analysis, introduces topics such as Cryptography and Big Data, Applications of Biocomputational Systems, Mathematics of Cryptography and Communications, and Computer Security. Alongside these, the course enlightens students about Cloud Computing and the Legal and Ethical Aspects of Analytics.Key Modules: The core modules for this course include Computational Optimisation, Foundations of Data Analysis, Foundations of Machine Learning, Data Visualisation and Exploratory Analysis, Advanced Data Analysis, and Computational Bioinformatics. Optional modules are also given letting students tailor the course according to their career aspirations or interests.Accreditations: The MSc Data Science and Analytics course at Royal Holloway is accredited by the British Computer Society, assuring students of the highest standards in teaching, learning, and research.Future Careers: Upon completing this course, students are equipped to pursue careers in the fast-growing data science and analytics industry. Areas possible for graduates can range from industry photographer and bioinformatics researcher to public sector service staff and software engineer.For more information on this course, please visit the official course page here.