国际学生入学条件
Official high school graduation documents and transcripts. Documentation of English proficiency - TOEFL : 61 IBT required, IELTS : 5.5 required. SAT and ACT Required. International Baccalaureate required.
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雅思考试总分
5.5
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雅思考试指南
- 雅思总分:5.5
- 托福网考总分:61
- 托福笔试总分:160
- 其他语言考试:PTEA -49 required
CRICOS代码:
申请截止日期: 请与IDP顾问联系以获取详细信息。
课程简介
有时,重要决策的重心落在知道如何分析大型复杂数据集的专业人员身上。是的,数据科学家可以为各种环境提供关键信息,例如市场营销,医疗保健,制造,分销,供应链管理,零售和政府。拥有数据科学学位的人可能需求很高,因为美国面临着数据科学家的严重短缺。可能有人会依靠您的深厚分析能力。优势:在计算机科学,数学和统计学的核心领域提供专业知识,持续的教职员工研究机会,部门就业机会(包括研究助学金和MathLab辅导),个人关注,这是由于学生与教师的比例低,动手实践实际应用程序的经验,实习机会,以获取宝贵的在职经验和人脉关系
Using a combination of mathematics, computer science, and trend-spotting, data scientists unearth meaningful insights from enormous piles of unstructured information. Their analysis can solve problems, drive better decision-making, and enhance performance. For these reasons, data scientists are employed in nearly every industry and sector, from politics, entertainment, and sports to medicine, technology, and physics-and everything in between.With a degree in Data Science, you could be in high demand, as the U.S. is facing a large shortage of professionals in the field. Someone could be counting on you for your deep analytical skills.<br>Provides expertise in the core areas of computer science, mathematics, and statistics, Ongoing faculty research opportunities<br>Departmental employment opportunities, including research assistantships and MathLab tutoring<br>Personal attention, thanks to a low student-to-faculty ratio, Hands-on experiences with real-world applications<br>Internship opportunities to gain invaluable on-the-job experience and networking<br>POTENTIAL CAREERS<br>Manage supply chains and market products for manufacturers, retailers, and distribution companies<br>Improve patient outcomes and control costs for hospitals and other health care providers<br>Create software and information technology for digital health companies<br>Analyze critical trial data for pharmaceutical, medical device, or agricultural chemical companies<br>Manage big data applications for software companies
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