信息科学理学硕士（数据分析）高级实践

您是否正在寻找硕士学位级别的证书，以便为数据分析领域的工作和晋升敞开大门？此为期两年的硕士课程将信息科学的核心模块与数据库建模以及统计和业务的专门模块结合在一起智能：作为数据分析的一部分，您将涵盖诸如如何使用关系代数和SQL设计和操作数据库等主题。您还将使用回归分析，聚类，距离度量，概率和分布之类的技术来分析（大）数据，以改善组织的决策制定。在第二年的一个学期中，您将进行实习，在另一个国家学习或加入研究小组。这种宝贵的经验将提高您的就业能力，并进一步发展您的理论和实践技能。实习此选项提供了机会，可以花三个
This two year master's course combines core modules in information science with specialised modules in Database Modelling as well as Statistics and Business Intelligence. As part of the focus on data analytics, you will cover topics such as how to design and manipulate databases with relational algebra and SQL. You will also analyse (big) data in order to improve organisational decision-making, using techniques such as regression analysis, clustering, distance measures, probability and distributions. In the second year, for one semester, you will have the chance to study in another country or join a research group. This valuable experience will enhance your employability and further develop your theoretical and practical skills.<br><br>This course is accredited by the Chartered Institute of Library and Information Professionals. This reflects the relevance of the curriculum, which is informed by contact with employers and close professional links. The topics and activities in the course have a strong emphasis on employability. For example you will develop skills in how to analyse, monitor and evaluate user behaviour. You will also learn how to evaluate and use a range of appropriate technologies for solving problems and supporting decision-making in organisations. Your knowledge and practical skills will help you take a lead on research-informed approaches that give organisations and professionals a valuable advantage. The Advanced Practice semester will help you develop a track record of achievement that will help you stand out from other job applicants. A two-year master's course, like this one, will carry particular weight with employers. They will understand that you have a deeper understanding of topics as well as more hands-on practical experience.