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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雅思考试指南
- 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:
申请截止日期: 请与IDP顾问联系以获取详细信息。
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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