悉尼大学数据科学专业大解析

2. Master of Data Science 学制 1 年 
3.  To be eligible for admission, an applicant is required to have:

• a four year Australian bachelor's degree with honours in a quantitative discipline* with a minimum credit average (65 percent), or
• an equivalent qualification with a research component or an Australian master's degree in a quantitative discipline* with a minimum credit average (65 percent), or equivalent qualification, or
• the University of Sydney Graduate Certificate in Data Science with a minimum credit average (65 percent), or equivalent or higher qualification

There is no credit transfer possible between the Graduate Certificate in Data Science and the Master of Data Science. Students with a Graduate Certificate in Data Science still need to complete 48 credit points in a subsequent Master of Data Science. They will receive a waiver for COMP5310, and can hence enrol in a third Elective Unit instead. *A quantitative discipline includes data science, computer science, mathematics, statistics, engineering, physics, economics, finance or other disciplines that are deemed equivalent. As a guideline, the curriculum of a quantitative discipline should include some study of mathematics including statistics at the tertiary level. Some background in computing (specifically in programming and in data management as taught in the Graduate Certificate in Data Science) is assumed. If you do not have previous IT background, please apply for the Graduate Certificate in Data Science. Applicants who hold a three year bachelor's degree in a quantitative discipline can apply to the Master of Data Science based on employment experience if they can demonstrate a minimum of two years relevant industry experience in IT or Data Science/Data Analytics. This must be supported by a CV and proof of work experience (in the form of an official letter from the employer including details of your position, dates of employment and job description). In all other cases, applicants should apply for the Graduate Certificate in Data Science. 录取要求：四年制学士学位， 数量学科荣誉学士学位 * 最低学分平均 (65%) ，或 具有研究成分的同等学历或澳大利亚定量学科硕士学位 * 最低学分平均 (65%) ，或同等学历，或悉尼大学数据科学研究生毕业证书，最低学分平均 (65%) ，或同等或更高的资格 数据科学研究生证书和数据科学硕士之间不存在学分转换。拥有数据科学研究生证书的学生还需要在随后的数据科学硕士课程中完成 48 学分。他们将获得 COMP5310 的豁免，因此可以注册第三个选修单元。

• 数量化学科包括数据科学、计算机科学、数学、统计学、工程学、物理学、经济学、金融学或其他被视为等同的学科。 作为指导方针，一门定量学科的课程应该包括一些包括统计在内的高等数学研究。 假设有计算机方面的背景知识 ( 特别是编程和数据管理方面，如数据科学研究生证书中所教 ) 。如果你没有以前的 IT 背景，请申请数据科学的研究生证书。持有三年数量学学士学位的申请人，如能在资讯科技或数据科学 / 数据分析方面显示最少两年相关行业经验，可根据就业经验申请数据科学硕士学位。这必须有一份简历和工作经验证明 ( 以雇主的正式信函的形式，包括你的职位、工作日期和职位描述的细节 ) 。在所有其他情况下，申请人应申请数据科学研究生证书。