硕士-数据科学统计学

在这个数字和数据丰富的时代，对工业，公共部门和学术界的统计专业毕业生的需求很高，但是这类毕业生的人数很少。数据科学的最新发展提高了人们对统计重要性的认识，对数据的分析和对结果的解释牢固地嵌入了这一新近认可的领域。该计划旨在培训下一代统计学家，重点是新近认可的数据科学领域。教学大纲结合了严格的统计理论和将统计模型应用于数据的广泛实践经验。该程序特别包括：经典和贝叶斯意识形态，计算统计，回归，一系列模型和应用程序的数据分析
In this digital and data-rich era the demand for statistics graduates from industry, the public sector and academia is high, yet the pool of such graduates is small. The recent growth of data science has increased the awareness of the importance of statistics, with the analysis of data and interpretation of the results firmly embedded within this newly recognised field.<br><br>This programme is designed to train the next generation of statisticians with a focus on the newly recognised field of data science. The syllabus combines rigorous statistical theory with wider hands-on practical experience of applying statistical models to data. In particular the programme includes:<br><br>classical and Bayesian ideologies<br>computational statistics<br>regression<br>data analysis of a range of models and applications<br><br>Graduates will be in high demand. It is anticipated that the majority of students will be employed as statisticians within private and public institutions providing statistical advice/consultancy.