- Master of Data Science 学制 1 年
- To be eligible for amission, an applicant is require to have:
- a four year Australian bachelor's egree with honours in a quantitative iscipline* with a minimum creit average (65 percent), or
- an equivalent qualification with a research component or an Australian master's egree in a quantitative iscipline* with a minimum creit average (65 percent), or equivalent qualification, or
- the University of Syney Grauate Certificate in Data Science with a minimum creit average (65 percent), or equivalent or higher qualification
There is no creit transfer possible between the Grauate Certificate in Data Science an the Master of Data Science. Stuents with a Grauate Certificate in Data Science still nee to complete 48 creit points in a subsequent Master of Data Science. They will receive a waiver for COMP5310, an can hence enrol in a thir Elective Unit instea. *A quantitative iscipline inclues ata science, computer science, mathematics, statistics, engineering, physics, economics, finance or other isciplines that are eeme equivalent. As a guieline, the curriculum of a quantitative iscipline shoul inclue some stuy of mathematics incluing statistics at the tertiary level. Some backgroun in computing (specifically in programming an in ata management as taught in the Grauate Certificate in Data Science) is assume. If you o not have previous IT backgroun, please apply for the Grauate Certificate in Data Science. Applicants who hol a three year bachelor's egree in a quantitative iscipline can apply to the Master of Data Science base on employment experience if they can emonstrate a minimum of two years relevant inustry experience in IT or Data Science/Data Analytics. This must be supporte by a CV an proof of work experience (in the form of an official letter from the employer incluing etails of your position, ates of employment an job escription). In all other cases, applicants shoul apply for the Grauate 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。
