国际学生入学条件
To be eligible for the Masters of Science in Computer Science program you must have:
A degree equivalent to a four year program in Computer Science (see below for more information).
At least an equivalent of B- (2.67) average in all required Computer Science and Mathematics courses.
A TOEFL score of 580 paper-based test (237 computer-based test, 93 Internet-based test) is required if English was not the language of your previous degree program. We will also accept an IELTS score of 6.5 or higher. Please note that in some cases when a student has studied in an English medium of instruction, a test of English proficiency may still be required.
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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:93
- 托福笔试总分:580
- 其他语言考试:PTE Academic - 61 with no subtest score below 60.
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
培养您在计算研发方面的技能和经验。无论您是要升级您的就业选择还是要攻读博士学位课程,
By choosing Acadia's graduate program in computer science, you will increase the depth and breadth of your knowledge through additional coursework and study, and you will further develop your research skills through challenging projects and development of a thesis with your supervisor. You will benefit from our small class sizes and collaborative approach to research developing a high degree of contact and collaboration with your supervisor and gaining skills by working with groups with fellow researchers. Many of our research projects are collaborative in nature, where you will be working and reflecting with your supervisors and groups of students while pursuing your own particular research project.<br><br>The Jodrey School of Computer Science is a strong leader in the Acadia Institute for Data Analytics (AIDA), creating many opportunities for you to work with local business and industry partners using data to help solve problems of interest. AIDA is hosted with the Acadia Entrepreneurship Centre - its programming helps you connect with local businesses and entrepreneurs. Acadia was the first in the world to produce a Web Census a full polling of all web servers in the publically addressable Internet and has been prolific in performing research on the results and on improved methods for learning about the structure of the web. Our expertise in artificial intelligence, mobile computing, and multi-agent systems is enhanced through collaboration amongst our researchers and students in the Cooperative Intelligent Distributed Systems Group and the Intelligent Information Technology Research Laboratory.
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