数据科学理学学士
Bachelor of Science in Data Science
  • 学历文凭

    Bachelor Degree

  • 专业院系

    数据库管理

  • 开学时间

  • 课程时长

  • 课程学费

    汇率提示

国际学生入学条件

Minimum admission range: low 70s
Competitive admission range based on last year's admitted students: low 80s
English at 60%
You must submit transcripts from your homeschool program and a second assessment from one of the following:
SAT subject results,
ACT subject results,
AP exams,
University/college courses, or
Grade 12 curriculum transcripts.
Admission is based on your top six 4U and 4M courses. For some programs, your required courses are calculated in your admission average (see your program page).
A 4U English at a minimum of 60% (or higher for some programs).
All required courses listed in your program's admission requirements must be at a minimum of 60% (or higher for some programs).
IELTS Academic or IELTS Online score of 6.5 or higher, with a minimum of 6.0 in each band.
Internet-based testing (TOEFL iBT or TOEFL iBT Home Edition): an overall score of 83 or higher with a minimum score of 20 in each component.
Paper-based testing: 560 overall.
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雅思考试总分

6.5

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  • 雅思总分:6.5
  • 托福网考总分:83
  • 托福笔试总分:560
  • 其他语言考试:PTE Academic or PTE Academic Online core of 59 overall or higher.
CRICOS代码:
申请截止日期: 与IDP顾问联系以获取详细信息。

课程简介

现代化的信息爆炸导致产生了非常庞大的数据集,并且需要了解如何分析和理解大数据。硬件,软件和统计技术的进步催生了用于分析各种数据的模式和模型的自动化方法,其应用范围从科学发现到商业智能和分析。结果,数据驱动的决策已迅速成为几乎每个行业的标准,并且对各行各业,组织和学科的面向数据的专业人员提出了前所未有的需求。考虑到相关数据集的数量,如果没有某种程度的数学指导和编程专业知识,几乎不可能提取模式,趋势和行为。
Our Bachelor of Science (BSc) in Data Science is the first undergraduate degree of its kind in Canada. Technological advances have created unprecedented amounts of information (big data) about the world. Learn to extract insights from big data by gaining skills in mathematics, statistics and computer science. Tailor your degree by studying financial risk analysis, statistical analysis or focus specifically on big data. The rising demand for data-oriented professionals means you could work in insurance, marketing, finance, health care and other sectors.<br>The information explosion of the modern age has resulted in extremely large data sets and a need to understand how to analyze and make sense of big data. Advances in hardware, software and statistical techniques are giving rise to automated methods to analyze patterns and models for all kinds of data, with applications ranging from scientific discovery to business intelligence and analytics.<br><br>As a result, data-driven decision making is quickly becoming the standard in almost every industry and has created an unprecedented demand for data-oriented professionals across a wide range of industries, organizations and disciplines. Given the volume of the data sets in question, it is nearly impossible to extract patterns, trends and behaviours without some degree of mathematical guidance and programming expertise.
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关于劳瑞尔大学

劳瑞尔大学是加拿大一所领先的大学,以其卓越的学术成就享誉全球。其创新的教学风格将课堂上的实际学习,课堂外的体验式学习机会和现实世界的经验相结合。国际学生是该大学社区的核心,每年有来自80多个国家/地区的1000多名国际学生入学。该大学的八个院系提供80多个全职和兼职本科课程,以及在线学习选项。不符合其课程的英语语言能力要求的准学生也可以参加劳瑞尔大学英语和学术基金会(LEAF)课程。在LEAF项目中,学生将加强他们的英语语言技能,并建立在大学中取得成功所需的学术技能。由于其关注学习和大学社区,劳瑞尔在学生满意度、学生生活、课外活动和宿舍生活方面一直在全国排名前列。在2021年全球学生满意度评选中,劳瑞尔大学在美洲的师生互动中排名第一,并且根据教育质量、校友就业和研究表现,在全球大学中排名前6%。因此,劳瑞尔大学的毕业生在离开时获得了他们未来成功所需的教育和经验。劳瑞尔在滑铁卢和布兰特福德拥有充满活力、以学生为中心的校区,并在米尔顿开发一个新校区。劳瑞尔所有校区都位于加拿大安大略省西南部,彼此之间的车程不超过一小时,并靠近加拿大主要城市和美国。此外,所有院系的学生都可以到全球24个国家进行交流旅行。劳瑞尔各校区有多个由学生领导的俱乐部和协会,学生可以根据课程、院系、技能和兴趣,有多种选择参与。

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