Master of Science in Data Science

学历文凭
Masters Degree

专业院系
数据处理技术

开学时间

课程时长

课程学费

国际学生入学条件
An undergraduate degree, preferably in engineering or mathematics, that includes one semester of calculus and experience in programming
A 3.0 grade point average (on a 4.0 scale) on the last two years of undergraduate coursework. In particular, performance in engineering, science and mathematics is emphasized.
International applicants and applicants whose native language is not English will need to take the Test of English as a Foreign Language (TOEFL) and score at least 80 with no area score of less than 20, or take the International English Language Testing System (IELTS) exam and score at least 6.5 in all areas.
A 3.0 grade point average (on a 4.0 scale) on the last two years of undergraduate coursework. In particular, performance in engineering, science and mathematics is emphasized.
International applicants and applicants whose native language is not English will need to take the Test of English as a Foreign Language (TOEFL) and score at least 80 with no area score of less than 20, or take the International English Language Testing System (IELTS) exam and score at least 6.5 in all areas.
IDP—雅思考试联合主办方

雅思考试总分
6.5
了解更多
- 雅思总分:6.5
- 托福网考总分:80
- 托福笔试总分:160
- 其他语言考试:NA
CRICOS代码:
申请截止日期:请 与IDP联系 以获取详细信息。
课程简介
The Master of Science in Data Science degree program helps meet the growing need for data science professionals in STEM, health-related and other fields, expanding students’ marketable skills and preparing them to enter a fast-growing job field. The program is unique for its breadth, offering a widely encompassing set of courses that allows students without a computer science background to develop the necessary skills for data science jobs in business, engineering, healthcare and science settings. It aims to instill the acumen needed to draw insights from data, to make sound decisions using data, and to effectively communicate about data-driven findings and decisions. Students will use real-world problems, methods and data in instruction materials through collaboration with community partners; problem-based, experiential learning which emphasizes hands-on coding exercises; service learning in which students learn while doing for social good; and inclusive learning to broaden student participation and strengthen student retention in data science education.
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
601
数据源:泰晤士高等教育世界大学排名
关于德克萨斯大学阿灵顿分校

德克萨斯大学阿灵顿分校提供180多个本科和研究生学术课程,旨在为学生提供创新的教育机会。该大学的大型最先进的校园占地420英亩,横跨达拉斯-沃斯堡大都会区,是美国第六大多样化学生群体的所在地。UTA欢迎来自全球100多个国家的国际学生,并在其所有活动中促进文化包容。UTA鼓励学生追求卓越,并在当地和全球层面为社会做出积极贡献。该大学拥有300多个由学生领导的组织,这些组织处于在校园内创造多元包容和发现文化的最前沿。在UTA,学生可以从专注于现实世界技能和知识的课程中受益。除了卓越的教学计划外,UTA在杰出的的研究方面享有盛誉,研究生还可以获得一系列的财务支持。UTA被公认为卡内基研究一级''最高研究活动''大学,其20多个研究生课程在《美国新闻与世界报道》2024年最佳研究生院排名中名列前茅。
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