统计学是应用数学的一个分支，主要通过利用概率论建立数学模型，收集所观察系统的数据，进行量化分析、总结，做出推断和预测，为相关决策提供依据和参考。它被广泛的应用在各门学科之上，从物理、社会科学到人文科学，甚至被用在工商业及政府的情报决策之上。随着数字化进程不断加快，人们越来越多地希望能够从大量的数据中总结出一些经验规律从而为未来的决策提供一些依据。统计学专业不仅仅只是统计数字，而是包含了调查、收集、分析、预测等，应用的范围十分广泛。下面立思辰留学小编为大家详细介绍滑铁卢大学统计学硕士。
滑铁卢大学统计学硕士
专业：Statistics
学制：1-2年
学位：Master of Mathematics (MMath) in Statistics
院系：Department of Statistics and Actuarial Science;Faculty of Mathematics
研究领域
1、Computational Statistics 计算统计学
2、Finance金融
3、Industrial Statistics 工业统计学
4、Probability概率论
5、Statistical Theory and Methods统计理论和方法
滑铁卢大学统计学硕士学习方式
第一种：Thesis option:
至少完成4门课，且平均成绩不低于70%，最后完成毕业论文和毕业答辩。
第二种：Master‘s Research Paper option:
至少完成7门课，且平均成绩不低于70%，
最后完成Graduate Skills Workshop 和a research paper。
第三种：Coursework option:
至少完成8门课，且平均成绩不低于70%.
滑铁卢大学统计学硕士课程设置
Required core courses:
STAT 847 Exploratory data analysis
CS 631 Data-Intensive Distributed Analytics
1 of the following required breadth courses:
STAT 841 Statistical Learning: Classification
STAT 842 Data Visualization
STAT 844 Statistical Learning: Function estimation
4 elective courses from the following list:
STAT 840 Computational Inference
STAT 841 Statistical Learning: Classification
STAT 842 Data Visualization
STAT 844 Statistical Learning: Function estimation
STAT 946 Topics in Probability and Statistics
CS 638 Principles of Data Management and Use
CS 648 Database Systems Implementation
CS 654 Distributed Systems
CS 658 Computer Security and Privacy
CS 680 Introduction to Machine Learning
CS 685 Machine Learning Theory: Statistical and Computational Foundations
CS 686 Introduction to Artificial Intelligence
CS 740 Database Engineering
CS 741 Parallel and Distributed Database Systems
CS 743 Principles of Database Management and Use
CS 786 Probabilistic Inference and Machine Learning
CS 798 Advanced Research Topics
CS 848 Advanced Topics in Databases
CS 856 Advanced Topics in Distributed Computing
CS 858 Advanced Topics in Cryptography, Security and Privacy
CS 870 Advanced Topics in Scientific Computing
CS 886 Advanced Topics in Artificial Intelligence
