MSc Data Analytics

Study with us On our MSc Data Analytics programme you'll:learn from experts across three disciplines - Management Science, Computer & Information Sciences, and Mathematics & Statistics - providing a uniquely broad foundation in data analyticsapply your skills to industry-led case studies, gaining practical experience and a portfolio of evidence to showcase to employersaccess the latest research in machine learning and AI for business, equipping you with cutting-edge knowledge and tools for data-driven decision-makingchoose from a range of optional classes for specialisationYou may also be interested in:Advanced Computer Science with Data Science (MSc)Applied Statistics with Data Science (online) (MSc)Data Science for Politics & Policymaking (MSc)Sport Data Analytics (MSc) Why this course? The MSc Data Analytics is designed to create rounded data analytics problem-solvers. The course focuses on the uses of data analytics techniques within business contexts, making informed decisions about appropriate technology to extract knowledge from data and understanding the theoretical principles by which such technology operates. You'll gain a comprehensive skill set that will enable you to work in a variety of sectors using a blended learning approach that combines theory, intensive practice and industrial engagement. The degree is unique by bringing together essential skills from three departments across the University in order to address the needs of a fast-growing industry. It's jointly delivered by: Department of Management Science Department of Mathematics & Statistics Department of Computer & Information Sciences This unique collaboration avoids the narrow interpretation of the subject offered by similar degrees and presents significant opportunities for businesses to recruit data analytics experts with a high-level expertise and knowledge. Every year, guest speakers attend our course, sharing their invaluable experiences. As part of the Data Analytics in Practice class, we host representatives from external originations, who present case studies and challenging projects to our students.

MSc: Minimum second class Honours degree, or overseas equivalent (see our country pages for further information) in: mathematics the natural sciences engineering economics/finance Applications from those with other degrees are also encouraged if you have demonstrated a good grasp of numerical/quantitative subjects. There will be significant programming elements to the programme; many modules will require the student to use software packages such as Python and R, along with others. Students should have experience of working with programming languages, and a willingness to learn new ones.