数据科学与分析理学硕士
Master of Science in Data Science and Analytics
  • 学历文凭

    Masters Degree

  • 专业院系

    数据处理技术

  • 开学时间

  • 课程时长

  • 课程学费

    汇率提示

国际学生入学条件

Completion of a four-year undergraduate (or equivalent degree) from an accredited institution in engineering, science, business, economics or a related discipline
Minimum grade point average (GPA) or equivalent of 3.00/4.33 (B) in the last two years of study
Statement of interest
Resum/CV
Transcripts
Two letters of recommendation
English language proficiency requirement

IELTS - 7.0, TOEFL (IBT) - 93, PTE - 63
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雅思考试总分

7.0

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  • 雅思总分:7
  • 托福网考总分:93
  • 托福笔试总分:160
  • 其他语言考试:PTE - 63
CRICOS代码:
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课程简介

这个独特的一年全日制或两年制非全日制理学硕士(MSc)学位课程使学生能够发展跨学科技能
This unique Master of Science (MSc) degree program enables students to develop interdisciplinary skills, and gain a deep understanding of technical and applied knowledge in data science and analytics. Graduates are highly trained, qualified data scientists who can go on to pursue careers in industry, government or research.<br><br>The program is offered as a one year full-time or two year part-time MRP option and two year full-time Thesis option. You can opt to take the program fully virtually or as a combination of virtual and in-person courses.<br><br>The MSc in Data Science and Analytics is delivered in both lecture-based and hands-on lab learning environments where students can develop and apply their skills to complex, real-world datasets and data science and analytics problems.<br>It is a great pleasure for me to serve as the director of master's program in Data Science and Analytics. I invite you to join us and discover the fascinating world of data science and analytics in the heart of downtown Toronto by interacting with leading academics and professionals.<br><br>Data science is an interdisciplinary field that combines expertise from several domains. Data scientist is the unicorn that needs to possess diverse skills such as statistics, math, machine learning, operations research, data visualization, communication and domain expertise. Our program is unique in its interdisciplinary design where you will learn how data science and analytics can help improve decisions throughout an organization's value chain, understand how recommendations lead to tangible actions through prescriptive analytics techniques, gain a good understanding of methods used in building such data-driven models, and acquire hands-on experience with analytics tools that are widely used in practice. The program engages industry partners to access extensive data in health care, software engineering, social media, services and finance.<br><br>Faculty members involved in the program possess the diverse skill sets needed for this emerging discipline. The program provides advanced training in data science and analytics principles and methodologies, and highlights their applications in solving problems in various industry, government and research domains. Technical skills such as mathematics, statistics, operations research, and programming are core competencies that are in the greatest demand in the marketplace. The Master's program is designed to provide these competencies.
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关于多伦多都会大学

75 年来,多伦多都市大学(前瑞尔森大学)凭借其雄厚的学术实力、以就业为导向的体验式学习和学生至上的精神,一直深受学生青睐。TMU一所领先的综合性创新大学,与加拿大最大、最多元化的城市融为一体。该校文化多元、兼容并蓄,拥有来自 140 多个不同国家的 40000 名学生和遍布全球的 240000 多名校友。TMU 学生在课堂上学到的知识通过合作项目和实习得到补充和提升,同时通过专业辅修课程得到强化。TMU 提供 60 多个以职业为导向的本科课程,其中 95% 的课程都包含促进体验或实践学习的内容。 TMU 还开创了 "区域学习"(Zone Learning)--一种全新的体验式学习模式,让学生能够将在攻读学位期间获得的知识和技能应用到现实事务、初创企业、公司、风险投资和项目中。

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