国际学生入学条件
Students entering the DM program will have an undergraduate degree in one of the related three primary disciplines of Technology (e.g. Computer Science/Engineering and Information Technology), Content (e.g. Arts and Humanities), and People (e.g. Psychology, Communication and Business). Intermediate programming skills are expected. We will also consider applicants who have gained intermediate undergraduate level computer programming skills through relevant professional experience. Other applicants will need to take a set of additional courses that fulfills this requirement (stipulated on a case-by-case basis).
Data Science: Students entering the Data Science specialization require the same background as those entering the DM program. Entrance for the specialization in Data Science is restricted to the fall term.
You need to provide the following documents:
Contact information from two references (three for PhD) - academic references preferred.
A one-page Statement of Intent (outlining your proposed area of research, background and potential supervisors)
Current CV/Resum
A copy of transcripts from all post-secondary institutions you have attended
A portfolio of your digital media projects (optional / Digital Media program only)
If applicable, a copy of your English-language test results (proof of language proficiency)
IELTS - Overall 6.5 (minimum 6.0 in each band).
TOEFL iBT - 86 (20 in reading and listening, 22 in speaking and writing)
TOEFL PBT - overall score of 580.
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雅思考试总分
6.5
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雅思考试指南
- 雅思总分:6.5
- 托福网考总分:86
- 托福笔试总分:580
- 其他语言考试:Pearson Test of English (PTE) - 60 overall (minimum 60 in each Communicative Skill).
CRICOS代码:
申请截止日期: 请与IDP顾问联系以获取详细信息。
课程简介
数据科学是信息技术的下一个前沿领域,但很少有大学提供该领域的程序设计。Carleton’的新的数据科学协作硕士课程面向有兴趣了解如何分析和使用“¢”大数据的研究生和高科技专业人士政府收集的③套
Data Science is the next frontier of information technology but few universities offer programming in this area. Carleton's new collaborative master's in Data Science is geared at graduate students and high-tech professionals who are interested in understanding how to analyze and use big data sets collected by governments, industry, NGOs etc. for purposes such as generating personal recommendations for online shopping, improving the efficiency of health care delivery or predicting national security threats.<br><br>Students will earn their degree in one of the academic disciplines listed below with a Specialization in Data Science (or an MBA Concentration in Business Analytics) through research or coursework that addresses a data science challenge.<br><br>Working with its partners, Carleton University will become a national hub for data science research and training, educating a highly-skilled workforce for local, national and international communities, and creating the next generation of IT leaders. Carleton's location in Ottawa and long relationship with the city's technology sector is positioned well to create a highly-educated workforce of data science specialists.
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