学历文凭
Masters Degree (Coursework)
专业院系
信息系统
开学时间
课程时长
课程学费
国际学生入学条件
4 year Bachelor degree with any of the following marks/classifications:
Second Class (Upper Division)
Division A
Division 1
3 year Bachelor degree with any of the following marks/classifications:
First Class
High Distinction
Or a non-UK / non-Australian qualification of an equivalent standard.
Relevant disciplines will typically be in the field of mathematics or computer science.
Assumed knowledge: first year of a mathematics degree or equivalent (multivariate calculus, linear algebra, introductory statistics, probability). Students should also be comfortable with a high level of programming in a language such as Python.
All applicants are also required to submit a personal statement, one academic reference letter, and a detailed curriculum vitae.
IELTS total [7] IELTS reading [6.5] IELTS writing [6.5] IELTS speaking [6.5].TOEFL PBT -600 with TWE of 5.0. TOEFL IBT - 94 with no band less than 20.
IDP—雅思考试联合主办方
雅思考试总分
7.0
了解更多
- 雅思总分:7
- 托福网考总分:94
- 托福笔试总分:600
- 其他语言考试:PTE - 65 with no communicative score less than 58.
课程简介
Study in Australia and the United Kingdom with UniSA and UCL's joint Master of Science in Data Science (International) degree. As part of this degree you'll spend the first eight months in London, and then transition to Adelaide to complete the remainder of the program.The partnership between UCL and UniSA combines the strengths of each institution, to deliver a program that is a unique blend of strong theoretical knowledge in Statistics and Computer Science with a range of modern applications from social media to organisational analytics.The Master of Science in Data Science (International) will provide you with the knowledge and computational skills you will need to become a highly sought after analytics professional and data scientist.In addition to courses that are essential for future data scientists, the program includes a wide range of electives which allow you to pursue your interests. At UCL you will be able to choose from a range of advanced computer science topics including data mining, machine vision and deep learning. At UniSA, you will be able to develop skills in advanced analytics and data visualisation. The program culminates in an independent research project which you undertake in your final semester.The aim of this program is to produce graduates with the analytic and technical skills to effectively use Python, Hadoop, R and SAS to analyse Big Data and extract useful information to support the management and operations of an organisation.In this program you will undertake courses across a broad range of data science topics, which will provide you with hands-on experience in data analytic techniques for real-world challenges.Taught by leading researchers in data science, you will learn to analyse and visualise rich data sources, spot data trends and to generate data driven insights.<br><br>Career outcomes - : The field of data science field is evolving at a rapid rate. It will continue to grow as savvy business leaders integrate analytics into every facet of their organisation.While the demand for analytic skills crosses multiple industries, fields such as marketing, health care, IT, government and finance are expected to experience a particularly strong need for analytics professionals.
相关申请
预科
奖学金
实习机会
在校学习
跨境学习
校园授课-线上开始
在线/远程学习
学校排名
世界排名
201
数据源:泰晤士高等教育世界大学排名
关于南澳大学
南澳大学(UniSA)是一所全球认可的机构,为来自世界各地的学生提供200多个世界一流的学位。该校坐落在美丽的阿德莱德市,在2022年经济学人智库全球宜居指数中,阿德莱德被评为澳大利亚最宜居的城市之一。德市的南澳大学拥有两个市中心校园,还有两个大都会校园以及城外的另外两个区域性校园,所有校园都配备了最先进的设施。该大学因在研究、就业能力、教学、设施、国际化、包容性和创新等方面的卓越表现而被授予五星,并在2022年QS星级评级中获得五星+的总体评级。在世界建校50年以下的大学中排名第29位(2021 年 QS 创立不满 50 年的大学中排名前 50 位),该大学提供多样的学位,还拥有一个庞大的国际学生群体。在超过37000名学生中,有近6000人是国际学生,该大学还与全球87个合作机构建立了全球联系。这所年轻且不断发展的机构近年来在基础设施方面进行了总额超过4亿澳元的巨额投资。这使学生可以使用世界一流的学习空间和技术,充分利用大学提供的机会。南澳大学与本地和国际组织合作开发了一系列一流研究,根据2018年澳大利亚卓越研究(ERA)调查,大学被评估的研究中,100%处于世界水平或更高水平。南澳大学被公认为是学术研究人员背景最具国际多样性的澳大利亚大学之一(2021年QS世界大学排名),其教育重点是在与行业紧密联系且全球进取的大学中培养下一代的创新思维。
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