理学硕士统计

统计学专业的硕士课程旨在为学生提供扎实的理论和应用统计学知识，以便他们在完成学位后可以被用作应用统计学家或统计学研究人员。工业，政府，IT，经济和金融专业的统计专业硕士毕业生有很多机会。完成统计学硕士课程后，您将具备以下能力：证明对统计概念的深入理解，在实际数据分析中应用基本的统计推理，技术和模型以及运用技术计算技能。
The goal of the UCD MSc Statistics is to train the new generation of Data Scientists, by empowering them with a broad range of foundational and applied skills in statistics and machine learning.<br><br>This programme is aimed at students who have an undergraduate degree in statistics or in a related numerate degree, such as economics, finance, mathematics, physics, engineering, computer science, among others.<br><br>The MSc Statistics is ideal for students interested in data science careers in industry, business, government, or to those interested in pursuing a subsequent PhD in statistics or related areas.<br><br>In this programme, you will learn how to design, use and interpret a variety of statistical modelling tools, combining the fundamental theory of statistics with modern computational techniques. The programme in underpinned by several thematic areas,<br><br>- Data Science: in several of our modules, you will tackle modern real-world problems, using a variety of advanced techniques that are common in statistics and machine learning. Modules examples, Statistical Machine Learning, Data Mining, Advanced Predictive Analytics.<br><br>- Computing: you will learn how to design and implement efficient algorithms, through various data science programming languages and software that are commonly used in industry and research, Modules examples, Data Programming, Optimisation, Machine Learning with Python.<br><br>- Fundamental Theory: you will cover the fundamental aspects of mathematical statistics and learn how this is used in data science to develop new methods and concepts. Modules examples: Mathematical Sciences, Multivariate Analysis, Stochastic Models.<br><br>- Communication: you will learn how to study and interpret statistical analyses, and also how to effectively communicate your conclusions. Modules examples, Technical Communication, Applied Statistical Modelling, DIsseration.