统计学硕士 VS分析学硕士-新东方前途出国

学校

McMaster University

University of Toronto

专业

Statistics M.Sc. (Coursework)

Master of Management Analytics

课程长度

The degree requirements are normally completed in two academic terms (i.e. Fall and Winter).

3 sessions full-time (typical registration sequence: F/W/S)

官网

链接

链接

课程内容

Course Information (Thesis and Coursework)

In the Statistics program, there are core, seminar and elective courses.

The core courses cover fundamental theoretical concepts in statistics and probability. The core courses are:核心课程涵盖统计学和概率论的基本理论概念。核心课程有:

STATS 710: Statistical Inference统计推断：根据从样本中收集到的信息对总体进行估计的过程。

STATS 720: Statistical Modelling统计建模

STATS 782: Advanced Probability Theory高等概率论

Elective courses cover a sufficient variety of topics to offer students a choice based upon their individual interests. Approved courses from other graduate programs may be taken as elective courses with permission of the program选修课程涵盖了足够多的主题，为学生提供基于他们个人兴趣的选择。经本专业许可，其他研究生专业批准的课程可作为选修课程。.

Within this three-session program, students must complete a sequence of 7.0 full-course equivalents (FCEs) (14 half-course equivalents). No advanced standing will be granted for previous academic work completed or professional designations earned. Students who are unable to follow courses in their prescribed order must attain special approval from the Academic Director in order to continue in the program.

5.5 FCEs (11 half-course equivalents) are mandatory for all MMA students and are completed as a structured sequence of courses as follows:

Course Code Course Title

RSM8411H Structuring and Visualizing Data for Analytics结构化和可视化数据分析

RSM8413H

Machine Learning Analytics机器学习分析

RSM8414H Tools for Probabilistic Models and Prescriptive Analytics概率模型和规范分析的工具

RSM8431Y0 Analytics Colloquia分析座谈会

RSM8432H0 Management Analytics Practicum管理分析实习课程

RSM8502H Data-Based Management Decisions基于数据的管理决策

RSM8512H Modeling Tools for Predictive Analytics 预测分析的建模工具

RSM8521H Leveraging AI and Deep Learning Tools in Marketing在营销中利用人工智能和深度学习工具

RSM8601H MMA Self Development Lab (Credit/No Credit)

RSM8901H Analytics in Management 管理分析

1.5 FCEs (3 half-course equivalents) chosen from the following list. Note: not all electives are offered each year.

Course Code Course Title

RSM8001H Causal Identification for Management Analysis管理分析的原因识别

(prerequisites: RSM8411H, RSM8413H, RSM8414H, RSM8512H)

RSM8002H The Analytics of Talent Strategy人才战略分析

(prerequisites: RSM8411H, RSM8413H, RSM8414H, RSM8512H)

RSM8224H

Analytic Insights Using Accounting and Financial Data使用会计和财务数据的分析见解

RSM8301H Machine Learning Applications in Finance机器学习在金融中的应用

(prerequisites: RSM8411H, RSM8413H, RSM8414H, RSM8512H)

RSM8415H Service Analytics for Management Analysis服务分析管理分析

(prerequisites: RSM8411H, RSM8413H, RSM8414H, RSM8512H)

RSM8416H Healthcare Analytics医疗保健分析

(prerequisites: RSM8411H, RSM8413H, RSM8414H, RSM8512H)

RSM8423H Optimizing Supply Chain Management and Logistics优化供应链管理和物流

RSM8522H Analytics for Marketing Strategy市场战略分析

申请要求

Applicants to admission to the M.Sc. Mathematics or M.Sc. Statistics programs will be considered if they have a B+ average in the two final years of an Honours Bachelors degree in Mathematics or Statistics, or a related area. Applicants should have taken a sufficient number (approximately ten) third and fourth year mathematics or statistics courses. Two strong academic reference letters must also be provided in support of applications.如果申请人在数学或统计学或相关领域的荣誉学士学位的最后两年平均成绩为B+，则可以考虑进入数学硕士或统计学硕士课程。申请人必须在第三和第四年修过足够数量的数学或统计学课程(大约10门)。还必须提供两封强有力的学术推荐信来支持申请。

Students with a degree in engineering, science, health sciences, or social sciences will be considered, provided they have a B+ average with a sufficient mathematics and statistics background. Students coming from other areas may be required to take additional undergraduate courses to make up any deficiencies. If you are unsure whether your background is sufficient, please contact the Associate Chair of the program you are applying for.具有工程、科学、健康科学或社会科学学位的学生将被考虑，前提是他们的平均成绩为B+，并具有足够的数学和统计学背景。来自其他专业背景的学生可能需要额外的本科课程来弥补任何不足。如果你不确定你的背景是否足够，请联系你正在申请的项目的副主席。

Ø  degrees in Computer Science, Statistics, Mathematics, Engineering, Physical Science, Economics, and Commerce will be preferred, but degrees from any program where there is a significant quantitative and computational component will be considered.计算机科学、统计学、数学、工程、物理科学、经济学和商业学位将优先考虑，但任何有重要定量和计算成分的课程的学位都将被考虑。

Ø  Quantitative proficiency: Evidence of a high level of proficiency (a minimum B average) in quantitative subjects is required. Mastery of mathematics is essential including, at a minimum, calculus and linear algebra, as are courses covering probability and statistics. In cases where evidence of quantitative proficiency is not obvious, applicants must provide supplemental evidence. All offers of admission will be conditional on successful completion of a qualifying examination in statistics.定量能力:需要证明定量科目的高水平熟练程度(平均成绩不低于B)。掌握数学是必不可少的，至少包括微积分和线性代数，以及概率论和统计学的课程。在数量能力证据不明显的情况下，申请人必须提供补充证据。所有录取通知将以成功完成统计学资格考试为条件。

Ø  Computational proficiency: Demonstrated proficiency in Python coding. All offers of admission will be conditional on successful completion of an assessment of Python coding.计算能力:熟练掌握Python编程。所有录取通知将以成功完成Python编码评估为条件。

Ø  Prerequisite knowledge in foundations of finance and financial accounting, usually demonstrated through the completion of university-level courses. Applicants who have not completed courses in one or both of these subject areas may be offered admission conditional on successful completion of one or more qualifying examinations that will demonstrate the applicant’s equivalent knowledge.具备金融和财务会计基础的必备知识，通常通过完成大学水平的课程来证明。没有完成其中一个或两个学科领域课程的申请人，可能会被录取，条件是成功完成一项或多项资格考试，以证明申请人的同等知识。

Ø  Demonstration of academic ability; a high Graduate Management Admission (GMAT) or Graduate Record Examination (GRE) score is encouraged, though it is not mandatory.

Ø  Applicants who meet all the criteria will be assessed on the basis of their application essays, answers to the video questions, grades, and references by the admissions committee.

Ø  Selected applicants will then be invited for an admission interview. The admission decision will be based on both submitted materials and interview performance.

截止期

4月30日

第一轮11月20日；第二轮2月5日

雅思要求

6.5 and a minimum of 5.5 in each section of the Academic test.

7（单项不低于6.5）

参考学费

$11,184.80 per term

总学费$22369.6

 总学费：$72,630 CAD