Master of Management in Analytics

所属信息

所属学校
麦吉尔大学
所属院校
McGill Desautels Faculty of Management

基本信息

项目时长
1 year

申请截止日期

  • 秋季
  • 常规
    2025/1/15
  • 其他

申请信息

GPA要求

3.20

申请材料

TOEFL/IETLS required
面试要求:
After a preliminary review of their file, only selected candidates will be invited for an interview. All interviews are conducted remotely. During your interview, you will be asked some technical questions:
We are looking for examples that highlight your quantitative skills.
We are looking for examples that highlight your coding/Technology skills.
We will likely ask you to speak of your experiences through a project (either at school or at work) where you had to solve a practical problem and explain how you found the solution to that problem.
And some behavioural questions:
We are looking for examples that highlight your application/business accumen through display of subject matter expertise
We are interested in your future pursuits/vision of your career
The interview process is highly important: it not only helps the admissions committee to better understand your background and objectives, but it is also an important opportunity for you to ask key questions to ensure that the MMA at McGill-Desautels is the right program for you.

特点

麦吉尔管理分析硕士(MMA)学位是一项为期一年的专业预科课程,专注于不断发展的商业分析领域,并强调体验式学习。该课程旨在满足各类组织(包括营利性、非营利性和政府机构)对数据驱动决策的日益增长需求,培养既具备商业敏锐度又拥有技术技能的人才。学生将在课程中学习如何使用最先进的数据分析工具来解决管理问题,获得商业分析硕士学位,并为在各行各业和不同管理环境中从事具有重要意义的分析工作做好充分准备。
The McGill Master of Management in Analytics (MMA) degree is a pre-experience, one-year specialized program in the evolving field of business analytics with a strong emphasis on experiential learning.
The MMA program is designed to address the growing need of organizations (for-profit, non-profit, governmental) for data-driven decision-making that uses both business acumen and technical skills.
Students will earn a master's degree in business analytics and learn managerial problem-solving using state-of-the-art data analytics tools in order to prepare for meaningful careers in analytics across a variety of industries and managerial settings.
课程设置介绍:
Core Module (21 credits)
Designed to build your statistical problem-solving acumen and teach the Technical fundamentals of: Data analytics, Decision analytics, Team management, and Leadership.
The Complementary Course Module (15 credits)
The MMA program is considered industry agnostic. Thus, our complementary courses are designed to expose students to a variety of topics such as marketing, retailing, supply chain, healthcare, security, pricing, talent and network analytics. Sample courses include: Introduction to Artificial Intelligence, Deep Learning, Enterprise Analytics using Cloud Computing, Social Media Analytics, Healthcare Analytics, and Revenue Management.
The Experiential Module (9 credits)
MMA’s experiential module is designed to provide students with the experience of hands-on application of the concepts taught in real world settings and the opportunity to interact with practitioners in leading analytics organizations.
Capstone management analytics project (10 months)
Community analytics project option
Internship option (with approval from the program)

The 3 pillars of MMA

Advanced Statistics:

Machine Learning
Resampling
Methods
Optimization
Technology:

Coding with R/Python/SQL
Cloud Infrastructure
Technology Stack
Business Strategy:

Consulting Discovery
Solution Development
Data Visualization
Program Structure

The program duration ranges from 1 year (MMA in-person) to 1.5 years (MMA Online). In addition, the MMA (in-person) also offers a 1.5-year option that includes an internship for students interested in gaining additional professional experience prior to graduation.

MMA In-Person

1 year:

Core Module
Elective Module
Experiential Module
MMA Online

1.5 year:

Core Module
Elective Module
Experiential Module
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