Master of Business Analytics (MBAN)
所属信息
基本信息
项目时长
12-months学费估算
$62,658 CAD申请截止日期
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秋季
-
常规
10/15
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其他
申请信息
托福/GRE Code
0965/0965GMAT Code
LQS-CP-02Department Code
4201/4201申请费
$154.25 CADGMAT要求
550.00
TOEFL要求
100.00
IELTS要求
7.00 L:7.00 R:7.00 S:7.00
W:7.00
成绩单寄送要求
网申上传
成绩单邮寄地址
Robert H. Lee Graduate School UBC Sauder School of Business 137 - 2053 Main Mall Vancouver BC V6T 1Z2 Canada
推荐信要求
2
文书要求
1. Short Answer Question(s) (200-Word Limit)
How does UBC Sauder’s MBAN Program align with your goals and values? What actions will you take to contribute to creating a respectful and positive RHL community and cohort experience? (200 words)
2. Long Answer Question(s) (500-Word Limit)
The UBC Sauder MBAN program prepares leaders who seek to create value for the world through thoughtful, data-driven solutions to complex problems. Describe a time when you had to analyze and present a data set. What tools (Python, SQL or other) did you use? How did you present your findings to your audience/stakeholders? (500 words)
What does it mean to have a commitment to equity, diversity and inclusion? How do you intend to demonstrate your commitment to advancing EDI in our community as a future UBC Sauder MBAN student and alumnus? (500 words)
3. Video Essay (60-90 Seconds)
Please respond to the following question, in video format (60-90 seconds) and upload it to either YouTube or Vimeo and provide the video's URL in the space provided. While creativity is encouraged, kindly note that it is mandatory for you to appear in the video. For complete instructions on how to submit the video, please refer to this page.
In your perspective, what is the relationship between storytelling and business skills with data analytics? (60-90 seconds)
How does UBC Sauder’s MBAN Program align with your goals and values? What actions will you take to contribute to creating a respectful and positive RHL community and cohort experience? (200 words)
2. Long Answer Question(s) (500-Word Limit)
The UBC Sauder MBAN program prepares leaders who seek to create value for the world through thoughtful, data-driven solutions to complex problems. Describe a time when you had to analyze and present a data set. What tools (Python, SQL or other) did you use? How did you present your findings to your audience/stakeholders? (500 words)
What does it mean to have a commitment to equity, diversity and inclusion? How do you intend to demonstrate your commitment to advancing EDI in our community as a future UBC Sauder MBAN student and alumnus? (500 words)
3. Video Essay (60-90 Seconds)
Please respond to the following question, in video format (60-90 seconds) and upload it to either YouTube or Vimeo and provide the video's URL in the space provided. While creativity is encouraged, kindly note that it is mandatory for you to appear in the video. For complete instructions on how to submit the video, please refer to this page.
In your perspective, what is the relationship between storytelling and business skills with data analytics? (60-90 seconds)
工作经验要求
There is no minimum work experience requirement for entry into the UBC MBAN.
Prerequisite
Due to the rigorous nature of the program, it is strongly recommended that applicants have some exposure to university-level courses in topics like statistics, calculus, and linear algebra (or other courses in mathematics and statistics). Experience in computer programming, data analytics or mathematical modeling is also an asset.
If you have work experience, two current references (a referee you have worked with in the last 2-3 years) will be required. You will provide their contact information in the application portal and we will contact them by email. No personal references will be accepted.
If you have work experience, two current references (a referee you have worked with in the last 2-3 years) will be required. You will provide their contact information in the application portal and we will contact them by email. No personal references will be accepted.
申请材料
GPA: Three or four-year Bachelor's degree with a B+ average
One of the following are required:
155 GRE score on both the verbal and quantitative sections
515 GMAT Exam score with at least a 50th percentile in verbal, quantitative, and data insight sections of the test
For a competitive edge:
650+ GMAT (previous edition) OR 330+ GRE score on combined verbal and quantitative section
605+ GMAT (Focus Edition) on combined verbal, quantitative, and data insight sections
One of the following are required:
155 GRE score on both the verbal and quantitative sections
515 GMAT Exam score with at least a 50th percentile in verbal, quantitative, and data insight sections of the test
For a competitive edge:
650+ GMAT (previous edition) OR 330+ GRE score on combined verbal and quantitative section
605+ GMAT (Focus Edition) on combined verbal, quantitative, and data insight sections
特点
为期12个月的商业分析硕士（MBAN）课程旨在培养您将大数据转化为可操作性洞见的技能。通过与实习或小组行业项目相结合的体验式学习机会，您将获得实践经验，尤其是在加拿大蓬勃发展的科技和数字经济领域。这一课程为您的职业发展提供了坚实的基础，助您顺利完成学业并进入行业应用所需的高增长领域。
The 12-month Master of Business Analytics (MBAN) program gives you the skills to turn big data into actionable insights. Paired with experiential learning opportunities such as an internship or group industry project, you’ll graduate with real-world experience in one of Canada’s thriving tech and digital economies.
课程设置介绍：
The world of analytics is fascinating, challenging, and booming. Cutting-edge companies have no shortage of data. But they do have a shortage of highly skilled professionals who can interpret this data and use it to make effective decisions. In fact, experts are projecting opportunities are only going to increase in both the public and private sectors as businesses search for analysts to help them make strategic, data-driven decisions.
Equal parts data analysis and big picture decision-making, the UBC Master of Business Analytics (MBAN) prepares you to fill this void. In twelve months, this prestigious degree will give you more than the technical skills to analyze large sets of data, it will also prepare you for the business world. The curriculum covers everything from marketing to operations in addition to advanced analytics so that you will be able to interpret data within a broader business context.
OPENING WEEK
AUGUST
SEPTEMBER ▸ JANUARY
LEARNING THE FOUNDATIONS
Focused on skill development and business analytics foundations.
Includes dedicated weeks for internship prep (October), data visualization (October) and business immersion (December). As well as a break in December.
JANUARY ▸ APRIL
SPECIALIZED COURSES + HACKATHON
Specialized courses for developing the advanced data skills and knowledge required for your analytics career.
Includes a hackathon, experiments & causal inference week with a break in February.
Finishes with simulation modelling and analytics leadership.
MAY ▸ AUGUST
SUMMER EXPERIENTIAL LEARNING
Enjoy an 8-16 week experiential learning experience through a business analytics internship.
The 12-month Master of Business Analytics (MBAN) program gives you the skills to turn big data into actionable insights. Paired with experiential learning opportunities such as an internship or group industry project, you’ll graduate with real-world experience in one of Canada’s thriving tech and digital economies.
课程设置介绍：
The world of analytics is fascinating, challenging, and booming. Cutting-edge companies have no shortage of data. But they do have a shortage of highly skilled professionals who can interpret this data and use it to make effective decisions. In fact, experts are projecting opportunities are only going to increase in both the public and private sectors as businesses search for analysts to help them make strategic, data-driven decisions.
Equal parts data analysis and big picture decision-making, the UBC Master of Business Analytics (MBAN) prepares you to fill this void. In twelve months, this prestigious degree will give you more than the technical skills to analyze large sets of data, it will also prepare you for the business world. The curriculum covers everything from marketing to operations in addition to advanced analytics so that you will be able to interpret data within a broader business context.
OPENING WEEK
AUGUST
SEPTEMBER ▸ JANUARY
LEARNING THE FOUNDATIONS
Focused on skill development and business analytics foundations.
Includes dedicated weeks for internship prep (October), data visualization (October) and business immersion (December). As well as a break in December.
JANUARY ▸ APRIL
SPECIALIZED COURSES + HACKATHON
Specialized courses for developing the advanced data skills and knowledge required for your analytics career.
Includes a hackathon, experiments & causal inference week with a break in February.
Finishes with simulation modelling and analytics leadership.
MAY ▸ AUGUST
SUMMER EXPERIENTIAL LEARNING
Enjoy an 8-16 week experiential learning experience through a business analytics internship.
