国际学生入学条件
Applicants for the master's program will normally hold an Honours undergraduate degree or equivalent professional degree. Normally, an average of B+ or higher is required for admission. At least one university-level course in statistics is also required for admission. Applicants judged to be generally acceptable but deficient in some aspect of preparation may be asked to complete course-work in addition to the program requirements. In addition to transcripts and letters of reference, application packages will include a statement of interest explaining how the applicant's career goals are aligned with the program and a statement of expertise, including previous research and/or work experience. The admissions committee will also consider the requirement for an appropriate balance of academic backgrounds to provide the disciplinary expertise required for the group projects, which are designed to represent a mixed-discipline workplace in the health sector.
Students whose first language is not English, or who have not completed a previous degree at an English speaking university, must demonstrate an adequate command of English. Please refer to section 3.6 of the general regulations in the Graduate Calendar.
Students may receive advanced standing with transfer of credit for up to 1.5 credits. Advanced standing will be considered only for core courses. It will be determined on an individual basis in consultation with the M.Sc Supervisor and the Faculty of Graduate and Postdoctoral Affairs and pursuant to Section 6.1 of the General Regulations section of this Calendar. In general, a grade of B+ or higher is necessary in the equivalent courses in order to receive advanced standing.
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的数据科学新协作硕士课程面向有兴趣了解如何分析和使用政府,行业,非政府组织等收集的“大数据”集的研究生和高科技专业人士。用于生成在线购物的个人推荐,提高医疗保健效率或预测国家安全威胁等目的。通过研究或解决数据科学挑战的课程,学生将在以下列出的其中一门学科中获得学位,并获得数据科学专业学位(或工商管理硕士MBA学位)。与合作伙伴一起,卡尔顿大学将成为全国数据科学研究和培训的中心,为本地,国家和国际社区培养一支高技能的劳动力
The Master's (MSc) degree in Health Sciences provides advanced learning and hands-on, interdisciplinary research in health sciences in new, state-of-the-art facilities. Students develop a deep appreciation for, and understanding of, the complexities of health problems and solutions through a health-based, research thesis and core courses developed to explore interdisciplinary health topics and science communication. This program is designed to meet a growing need for interdisciplinary health research, and skills in knowledge translation and data analysis. The interdisciplinary nature of the program ensures research theses span health disciplines, are informed by expert faculty and external partners across health sectors and fields of research, and that knowledge is communicated to stakeholders across scientific and broader health communities.
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