商业分析研究生证书-国际流
Ontario College Graduate Certificate in Business Analytics (Kingston) International Students Only

学历文凭
Graduate Certificate

专业院系
数据库管理

开学时间

课程时长

课程学费

国际学生入学条件
A two- or three-year college diploma or undergraduate university degree (Bachelor's) in any field of study is required.
Applicants must submit transcripts verifying previous academic qualifications and experience from recognized institutions. All documentation must be submitted in English. If the original documents are not issued in English, please provide official translated copies.
Applicants must be fluent enough in English to understand the instructors and technical language used during each course. An acceptable score on an English proficiency test is required to be considered for admission.
Popular tests to demonstrate proof of English proficiency:
TOEFL iBT – A minimum score of 83
IELTS Academic – A minimum score of 6.5 overall with a minimum of 6.0 in each section
TOEFL Computer-based Test - 220
CAEL – Overall score of 60
Applicants must submit transcripts verifying previous academic qualifications and experience from recognized institutions. All documentation must be submitted in English. If the original documents are not issued in English, please provide official translated copies.
Applicants must be fluent enough in English to understand the instructors and technical language used during each course. An acceptable score on an English proficiency test is required to be considered for admission.
Popular tests to demonstrate proof of English proficiency:
TOEFL iBT – A minimum score of 83
IELTS Academic – A minimum score of 6.5 overall with a minimum of 6.0 in each section
TOEFL Computer-based Test - 220
CAEL – Overall score of 60
IDP—雅思考试联合主办方

雅思考试总分
6.5
了解更多
- 雅思总分:6.5
- 托福网考总分:83
- 托福笔试总分:160
- 其他语言考试:PTE Academic (Pearson Test English) - 60
CRICOS代码:
申请截止日期:请 与IDP联系 以获取详细信息。
课程简介
该计划使毕业生为在不断发展和动态的业务分析领域工作做好准备。学生将学习分析决策的技术和工具,并利用这些技能来提高组织的竞争力。学生将学习通用分析模型以及领域或市场营销,运营和业务策略方面的专业知识。还将向学生介绍机器学习和人工智能概念,以及如何实施有监督和无监督的学习技术来解决现实世界中的问题。通过基于问题的学习和工作实习等应用学习技术,学生将能够将其学习应用于现实世界中的问题。
This program prepares graduates to work in the growing and dynamic field of business analytics. Students will learn the techniques and tools of analytical decision making and utilize these skills to drive the competitiveness of an organization. Students will be exposed to generic analytics modeling as well as specialization in the areas or marketing, operations, and business strategy. Students will also be introduced to machine learning and artificial intelligence concepts, and, how to implement supervised and unsupervised learning techniques to solve real world problems. Through applied learning techniques such as problem based learning and work placement students will be able to apply their learning to real world problems. Business Analytics experts are currently in high demand, especially with the opportunity to leverage high volume and variety of data, available in today's digital world, to support business strategy, enhance customer experience, and, solve real-life problems in real-time.
This program prepares graduates to work in the growing and dynamic field of business analytics. Students will learn the techniques and tools of analytical decision making and utilize these skills to drive the competitiveness of an organization. Students will be exposed to generic analytics modeling as well as specialization in the areas or marketing, operations, and business strategy. Students will also be introduced to machine learning and artificial intelligence concepts, and, how to implement supervised and unsupervised learning techniques to solve real world problems. Through applied learning techniques such as problem based learning and work placement students will be able to apply their learning to real world problems. Business Analytics experts are currently in high demand, especially with the opportunity to leverage high volume and variety of data, available in today's digital world, to support business strategy, enhance customer experience, and, solve real-life problems in real-time.
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