国际学生入学条件
Minimum of an upper second-class Bachelor's degree in a quantitative discipline from a recognised UK university, or one of the below qualifications in a quantitative discipline from a recognised Australian university:
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.
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雅思考试总分
7.0
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雅思考试指南
- 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.
CRICOS代码: 097011F
申请截止日期: 请与IDP顾问联系以获取详细信息。
课程简介
该计划的目的是培养具有分析和技术技能的毕业生,以有效地使用Python,Hadoop,R和SAS分析大数据并提取有用的信息,以支持组织的管理和运营。在该计划中,您将学习涵盖广泛的数据科学主题的课程,这些课程将为您提供有关实际挑战的数据分析技术的实践经验。由数据科学领域的顶尖研究人员授课,您将学习分析和可视化丰富的数据源,发现数据趋势并生成数据驱动的见解。
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.
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