理学硕士，PgDip数据分析

在斯特拉斯克莱德大学攻读数据分析学位，您将在一个屡获殊荣的学术组织中学习。这是一间获得QS评级的五星级大学，并于2016年获得《泰晤士高等教育》英国年度商学院的年度殊荣。我们的数据分析理学硕士旨在创建全面的数据分析问题解决者。本课程侧重于在业务环境中使用数据分析技术，就适当的技术做出明智的决策，以从数据中提取知识，并了解这种技术的运作原理。您将获得全面的技能，使您能够使用结合了理论，密集实践和行业参与的混合学习方法，在各个部门工作。数据分析硕士的独特之处在于，它融合了大学三个部门的基本技能，从而满足了快速
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.