国际学生入学条件
Submit your most recent transcripts or mark sheets. We will ask for additional materials if necessary. All decisions are provisional until a final, official transcript verifying graduation is received. Only transcripts sent directly from the school or stamped and sealed are considered official. If a record is not in English, a certified literal English translation must accompany the transcript.
High school performance, as reflected on a student's transcript(s), is an essential component of the admission decision for all freshman/first-year applicants and for transfer applicants with fewer than 30 post-high school credits.
High school transcripts for transfer applicants with more than 30 post-high school credits are considered only when needed to satisfy the admission requirement in mathematics.
All freshman/first year applicants and all transfers with fewer than 60 post-high school college credits must submit proof of high school graduation or equivalent prior to the start of their first semester of enrollment.
IELTS Academic - 6.0,TOEFL IBT -72, PTE Academic - 50
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雅思考试总分
6.0
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雅思考试指南
- 雅思总分:6
- 托福网考总分:72
- 托福笔试总分:160
- 其他语言考试:PTE Academic - 50
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
Artificial intelligence (AI) and machine learning (ML) are about creating intelligent systems systems that perceive and respond to the world around them. AI and ML systems are everywhere, in our cars and smartphones, and businesses of all sizes are investing in these areas.<br><br>The AI/ML concentration combines a rigorous computer science degree with coursework in AI, ML, and big data. This concentration also provides students the necessary foundational coursework and skills in math, statistics, and data science.<br><br>Learning Objectives<br>Upon successfully completing this program, students will be able to:<br><br>Develop AI and ML approaches for complex real-world problems.<br>Deploy high-performance computing tools for the analysis of large datasets.<br>Use a broad range of AI and ML tools, techniques, and algorithms.<br>Apply AI and ML tools in an ethical and socially responsible manner, with an awareness of biases that can result from their indiscriminate use.<br>Communicate results of complex analyses verbally and in writing using appropriate visualization techniques.<br>Confidently pursue graduate studies or professional employment in AI/ML and computer science.
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