国际学生入学条件
Ontario Secondary School Diploma or equivalent, including these required courses:
English, Grade 12 (ENG4U)
Mathematics, Grade 12 Advanced Functions (MHF4U or equivalent) or Grade 12 Calculus and Vectors (MCV4U or equivalent)
Four other Grade 12 subjects at the U or M level
Minimum 65% overall average
Two semesters of postsecondary education including required courses with a minimum 65% overall average
Recommended: Any Grade 12 science (U or M), Computer Science or Computer Engineering Technology
TOEFL (Test of English as a Foreign Language) 88 (21L,W,S,R) iBT (Internet-based TOEFL)
IELTS -overall score 6.5 with no individual band below 6.0
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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:88
- 托福笔试总分:160
- 其他语言考试:PTE A (Pearson Test of English Academic) 60 – Overall Minimum Score (57L,W,S,R)
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
In our Honours Bachelor of Computer Science program, you'll learn foundational skills that prepare you to work in any area of computer science. But you'll also have the chance to specialize in one of four emerging fields that interests you the most.<br><br>In the first year of the program, you'll be introduced to each of these four fields: cloud computing, data analytics, game engineering, and network engineering.<br>Learn how to apply statistical analysis, data mining and other advanced techniques to draw new and useful insights from large data sets. Confidently interpret and share information about the data patterns you discover.<br>Specialized Career Opportunities<br>Data Scientist: Perform data analysis and develop and implement predictive models.<br>Data Architect: Design and implement big data solutions that support the Data Warehouse Environment (DWE).<br>Data Analyst: Apply current technologies, concepts and methodologies to build development projects that integrate various data sources.<br>Data Developer: Use Big Data architectures to migrate data from various databases, implement latest technologies and meet functional and technical requirements.<br>Big Data Platform Engineer: Design, build and administer platforms that combine several big data applications and utilities within a single solution.
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