统计学理学硕士
Master of Science in Statistics

休斯顿大学清湖分校

US

QS排名:

  • 学历文凭

    Masters Degree

  • 专业院系

    统计

  • 开学时间

  • 课程时长

  • 课程学费

    汇率提示

国际学生入学条件

Possess the equivalent of a U.S. high school/secondary diploma.
Submit official SAT/ACT scores.
As a freshman applicant, you must provide the Office of International Admissions & Programs (OIAP) with the equivalent of transcripts and secondary diploma from your home country.
If you are entering UHCL with prior university credit, you must also provide OIAP with official transcripts, individual mark/grade sheets (showing all passes and fails) and confirmation of degrees or diplomas for all academic studies attempted and completed at other college/universities.
Official International English Language System (IELTS) scores of 6.0 or higher, TOEFL - scores of 79, TOEFL exam - 550 on the paper-based TOEFL exam,
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雅思考试总分

6.0

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  • 雅思总分:6
  • 托福网考总分:79
  • 托福笔试总分:550
  • 其他语言考试:Official Pearson Test of English (PTE) scores of 53 or higher.
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课程简介

从商业到政府,从科学到工业,统计学家在各个领域都有很高的需求。这包括政府机构,制药公司,医疗机构,金融机构,保险公司,工业公司,能源公司,环境,公共安全,医疗保健甚至体育。您在休斯敦清湖大学的统计科学硕士为您提供了统计理论与统计方法和应用之间的平衡。我们将为您提供定量推理方面的基本工具和概念基础,以推动科学,行业决策以及政府财产的发展和实施方面的发展。统计学中的计划将获得理学硕士学位(MS)。该计划着重于两个专业领域的统计方法,统计计算和数据分析技能:应用统计和大数据分析。它适合具有数学,工程学,科学学士
Statisticians are in high demand in a wide variety of fields ranging from business to government and science to industry. This includes government agencies, pharmaceutical companies, medical institutes, financial institutions, insurance companies, industrial firms, energy companies, environment, public safety, health care and even sports. Your Master of Science in Statistics at the University of Houston-Clear Lake offers you a balance of statistical theory and statistical methods and applications. We will provide you with the fundamental tools and conceptual foundations in quantitative reasoning for making advances in the sciences, decisions in industries and development and implementation of government property.The plan in Statistics leads to a Master of Science degree. This plan emphasizes statistical methods, statistical computing and data-analytic skills in two specializations: Applied Statistics and Big Data Analytics. It is suitable for students with an undergraduate background in mathematics, engineering, sciences or any background with solid mathematics and who wants to pursue a career as a statistician or a data scientist. Applicants will be considered if their preparation includes an adequate number of mathematics credits. In some cases, additional preparatory courses may be required.
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