Specializations within the field of statistics include:

\n", "display_order": 1, "created_at": "2019-08-29T17:56:37.103379-07:00", "updated_at": "2022-01-11T10:59:54.119474-08:00"}, {"degree_id": 59, "page": 1, "title": "Program Options", "summary_markdown": "Depending on the school, degrees in statistics are offered at the *Associate*, *Bachelor\u2019s*, *Master\u2019s*, and *Doctoral* levels.\r\n\r\nIn all degree programs, students can expect coursework in the following areas, which naturally increases in depth and complexity as they progress from undergraduate to graduate classes:\r\n\r\n**Descriptive Statistics** \r\nCourses in descriptive statistics examine probability, frequency distributions, graphing, correlations, measures of location, variation, joint and marginal probabilities, and regression\r\n\r\n**Applied Statistics** \r\nIn this course students use data to estimate the probability of events occurring. Subjects studied include surveys and experiments, tests of significance, exploratory data analysis, and sampling distributions.\r\n\r\n**Probability Theory** \r\nThis subject area covers various probability theories, such as conditional probability, axiomatic probability, and Bayes\u2019 Theorem.\r\n\r\n**Biostatistics** \r\nThis is the study of data from experiments in the field of biology.\r\n\r\n**Statistical Design and Experimental Analysis** \r\nThis course is a requirement of many graduate level programs. It teaches students how to design valid experiments and analyze data.\r\n\r\n**Data Mining** \r\nThe focus of courses in data mining is the process of uncovering trends, themes, and patterns in \u2018big data.\u2019\r\n\r\n**Linear Models** \r\nA\u00a0linear model\u00a0is an equation that describes a relationship between two quantities that show a constant rate of change.\r\n\r\n**Survey Sampling** \r\nCoursework covers the three parts of survey sampling: selecting a sample, collecting data, and interpreting data.", "content_markdown": "", "content_html": "

Depending on the school, degrees in statistics are offered at the Associate, Bachelor\u2019s, Master\u2019s, and Doctoral levels.

\n

In all degree programs, students can expect coursework in the following areas, which naturally increases in depth and complexity as they progress from undergraduate to graduate classes:

\n

Descriptive Statistics
\nCourses in descriptive statistics examine probability, frequency distributions, graphing, correlations, measures of location, variation, joint and marginal probabilities, and regression

\n

Applied Statistics
\nIn this course students use data to estimate the probability of events occurring. Subjects studied include surveys and experiments, tests of significance, exploratory data analysis, and sampling distributions.

\n

Probability Theory
\nThis subject area covers various probability theories, such as conditional probability, axiomatic probability, and Bayes\u2019 Theorem.

\n

Biostatistics
\nThis is the study of data from experiments in the field of biology.

\n

Statistical Design and Experimental Analysis
\nThis course is a requirement of many graduate level programs. It teaches students how to design valid experiments and analyze data.

\n

Data Mining
\nThe focus of courses in data mining is the process of uncovering trends, themes, and patterns in \u2018big data.\u2019

\n

Linear Models
\nA\u00a0linear model\u00a0is an equation that describes a relationship between two quantities that show a constant rate of change.

\n

Survey Sampling
\nCoursework covers the three parts of survey sampling: selecting a sample, collecting data, and interpreting data.

", "display_order": 2, "created_at": "2019-08-29T17:56:37.105560-07:00", "updated_at": "2021-11-18T13:55:37.846936-08:00"}, {"degree_id": 59, "page": 1, "title": "Degrees Similar to Statistics", "summary_markdown": "**[Accounting](/degrees/accounting-degree/)** \r\nThe field of accounting is focused on analyzing income and expenditure records; on tracking budgets and revenue; and on producing financial records for individuals, businesses, industries, and governments.\r\n\r\n**[Applied Mathematics](/degrees/applied-mathematics-degree/)** \r\nThis degree program provides students with in-depth training in mathematics, statistics, and probability. It teaches the use of models in analyzing and solving financial problems and includes coursework in economics, finance, accounting, and computer science.\r\n\r\n**[Economics](/degrees/economics-degree/)** \r\nEconomics asks wide questions about world economies, how governments should respond to financial crises, how stock prices and exchange rates are set, and how to help people living in poverty. The degree field of business and managerial economics is focused on how to use the concepts and theories of economics to study and solve problems in business.", "content_markdown": "**[Genetics](/degrees/genetics-degree/)** \r\nGenetics is the study of how DNA is passed down from one generation to the next. Statistical genetics is concerned with the analysis of genetic data.\r\n\r\n**[Systems Engineering](/degrees/systems-engineering-degree/)** \r\nThis degree program is concerned with how to use math and science to develop innovative technologies that help run businesses. Students take courses in operations management, computer-based simulation systems, and statistical applications in business.\r\n\r\n**[Mathematics](/degrees/mathematics-degree/)** \r\nDegree programs in mathematics typically teach both the theory and abstract of *pure mathematics* and its practical application to the world, known as *applied mathematics*. In other words, math majors study algebra, geometry, calculus, and statistics; but most pair this mathematics concentration with classes that reveal how math concepts are used in business management, computer science, economics, finance, music, philosophy, physics, and sports science.", "content_html": "

Genetics
\nGenetics is the study of how DNA is passed down from one generation to the next. Statistical genetics is concerned with the analysis of genetic data.

\n

Systems Engineering
\nThis degree program is concerned with how to use math and science to develop innovative technologies that help run businesses. Students take courses in operations management, computer-based simulation systems, and statistical applications in business.

\n

Mathematics
\nDegree programs in mathematics typically teach both the theory and abstract of pure mathematics and its practical application to the world, known as applied mathematics. In other words, math majors study algebra, geometry, calculus, and statistics; but most pair this mathematics concentration with classes that reveal how math concepts are used in business management, computer science, economics, finance, music, philosophy, physics, and sports science.

", "display_order": 3, "created_at": "2019-08-29T17:56:37.107718-07:00", "updated_at": "2022-01-11T11:01:19.245780-08:00"}, {"degree_id": 59, "page": 1, "title": "Skills You’ll Learn", "summary_markdown": "The set of transferable skills that statistics grads gain throughout their studies is directly related to the field\u2019s focus on the collection, organization, analysis, presentation, and interpretation of data:\r\n\r\n- Collecting and presenting information\r\n- Problem solving\r\n- Organizational skills\r\n- General math skills\r\n- Understanding statistical data\r\n- Computational and data-processing skills\r\n- Attention to detail\r\n- Analytical skills\r\n- Investigative and research skills\r\n- Report writing", "content_markdown": "", "content_html": "

The set of transferable skills that statistics grads gain throughout their studies is directly related to the field\u2019s focus on the collection, organization, analysis, presentation, and interpretation of data:

\n", "display_order": 4, "created_at": "2019-08-29T17:56:37.109885-07:00", "updated_at": "2021-11-18T13:55:37.849382-08:00"}, {"degree_id": 59, "page": 1, "title": "What Can You Do with a Statistics Degree?", "summary_markdown": "**Banking / Finance / Investment** \r\n[Financial analysts](/careers/financial-analyst/) use statistical techniques to analyze, evaluate, and summarize large amounts of data that are used in identifying financial market trends and making decisions about financing and investing.\r\n\r\n**Economics** \r\nIn this sector, [economists](/careers/economist/) use mathematical and statistical methodologies to examine financial data and advise businesses on the production and distribution of goods and services.\r\n\r\n**Education** \r\nIn the field of education, collecting, classifying, organizing, and summarizing data are all vital to drawing general conclusions. Statistics also play a role in evaluation and measurement; and in the standardization of tests and exams. Educational data gathered help [teachers](/careers/teacher/) identify appropriate teaching methods based on their students and the differences between them. Statistics are also an important aspect of educational research.\r\n\r\n**Government** \r\nStatistical data is generated by many government sources, because government runs on statistics. Government [statisticians](/careers/statistician/) analyze information about population, business, and society in general. They are tasked with conducting surveys and social experiments, as well as observation of trends like spending habits and medical records. Their scrutiny and interpretation of specific data provide information on a region\u2019s or country\u2019s population and its needs. Governments use this information to project expenditures and revenue and make budget decisions.\r\n\r\n**Healthcare** \r\nStatisticians employed in the healthcare field monitor local conditions and compare them to state, national, and international trends. Health statistics help administrators to efficiently allocate funds for both research and operations.\r\n\r\n**Information Technology (IT)** \r\nThis is a natural fit for individuals with a statistics background because the field of information technology, like the discipline of statistics, is concerned with collecting, managing, processing, and distributing information.", "content_markdown": "**Insurance** \r\nStatistics are particularly important in the insurance industry. [Actuaries](//www.chevelle-parts.com/careers/actuary/), who are trained in investment strategies and statistical tools, use statistics to determine what risk an insured party poses to an insurance company, what percentage of policies is likely to pay out, and how much money a company can expect to pay out in claims.\r\n\r\n**Market Research** \r\nWithout statistics, market research in every sector would be impossible, quite simply because statistics provide the data needed to conduct valid market research.\r\n\r\n**Operations Research** \r\nThe analytical skills of statistics graduates are especially important in operations research. Individuals working in this field use statistical models to improve operations in a variety of business sectors. For example, in the transportation industry, they may help airlines or railways determine the most efficient schedules.\r\n\r\n**Pharmaceuticals** \r\nStatisticians in the pharmaceuticals industry work in the development areas of pharmacology, biological and process modelling, cost-effectiveness modelling, and health economics.\r\n\r\n**Politics** \r\nIn politics, statistical analysis influences the positions that politicians take on various issues; it can determine the direction of political campaigns; and it plays a significant role in driving public policy decisions.\r\n\r\n**Utility Companies** \r\nEnergy and water companies, for example, hire people with statistics backgrounds to apply their knowledge to estimate usage and pricing of these public utilities.", "content_html": "

Insurance
\nStatistics are particularly important in the insurance industry. Actuaries, who are trained in investment strategies and statistical tools, use statistics to determine what risk an insured party poses to an insurance company, what percentage of policies is likely to pay out, and how much money a company can expect to pay out in claims.

\n

Market Research
\nWithout statistics, market research in every sector would be impossible, quite simply because statistics provide the data needed to conduct valid market research.

\n

Operations Research
\nThe analytical skills of statistics graduates are especially important in operations research. Individuals working in this field use statistical models to improve operations in a variety of business sectors. For example, in the transportation industry, they may help airlines or railways determine the most efficient schedules.

\n

Pharmaceuticals
\nStatisticians in the pharmaceuticals industry work in the development areas of pharmacology, biological and process modelling, cost-effectiveness modelling, and health economics.

\n

Politics
\nIn politics, statistical analysis influences the positions that politicians take on various issues; it can determine the direction of political campaigns; and it plays a significant role in driving public policy decisions.

\n

Utility Companies
\nEnergy and water companies, for example, hire people with statistics backgrounds to apply their knowledge to estimate usage and pricing of these public utilities.

", "display_order": 5, "created_at": "2019-08-29T17:56:37.112008-07:00", "updated_at": "2022-01-11T10:58:32.399120-08:00"}], "degree_specializations": []}">

什么是统计学学位?

程度统计领域主要是概率论和抽样理论的研究。学生们使用样本调查理论和方差分析(对实际行为和计划行为之间的差异的定量调查)等技术来检验群体和测量之间的关系。统计学家收集数据,组织它,分析它,并以实际的方式解释它,以指导商业部门和政治的决策。

虽然数学课程自然是统计课程的重要组成部分,但大多数课程还包括经济学、金融学、会计学和社会学,因为这些领域通常都依赖于统计方法。

统计领域的专业包括:

  • 生物计量学-统计分析在植物、动物和农业生物学上的发展和应用
  • 司法统计-使用统计模型来研究在刑事案件中使用的科学证据
  • 医学统计学/生物统计学——关注人类生物学以及统计学在医学和保健方面的应用
  • 运筹学——发展统计模型来分析、理解和优化组织的运作
  • 预测分析-专注于研究历史和当前的事实,以预测未来的事件
  • 计算统计-关注统计在计算机科学中的作用:信息处理,计算机编程,软件开发和人工智能

程序选项

根据学校的不同,统计学位在联系学士硕士,博士的水平。

在所有的学位课程中,学生可以预期在以下领域的课程,随着他们从本科到研究生课程的进展,这些课程的深度和复杂性自然会增加:

描述性统计
描述统计课程研究概率、频率分布、图表、相关性、位置度量、变异、联合概率和边际概率以及回归

应用统计学
在这门课程中,学生使用数据来估计事件发生的概率。研究的主题包括调查和实验、显著性检验、探索性数据分析和抽样分布。

概率论
这一学科领域涵盖了各种概率论,如条件概率论、公理概率论和贝叶斯定理。

生物统计学
这是对生物学领域实验数据的研究。

统计设计与实验分析
本课程是许多研究生课程的必修课程。它教学生如何设计有效的实验和分析数据。

数据挖掘
数据挖掘课程的重点是揭示“大数据”中的趋势、主题和模式的过程。

线性模型
线性模型是一个方程,它描述了两个量之间的关系,这两个量的变化速率是恒定的。

调查取样
课程涵盖了调查抽样的三个部分:选择样本,收集数据和解释数据。

与统计学相关的专业

会计
会计领域的重点是分析收入和支出记录;关于跟踪预算和收入;以及为个人、企业、行业和政府制作财务记录。

应用数学
该学位课程为学生提供数学、统计学和概率论方面的深入训练。它教授模型在分析和解决金融问题中的使用,包括经济学、金融学、会计学和计算机科学的课程。

经济学
经济学提出了关于世界经济、政府应该如何应对金融危机、股票价格和汇率如何设定、以及如何帮助生活在贫困中的人们等广泛的问题。商业和管理经济学的学位领域专注于如何运用经济学的概念和理论来研究和解决商业中的问题。

遗传学
遗传学是研究DNA如何从一代传给下一代的学科。统计遗传学与遗传数据的分析有关。

系统工程
这个学位课程关注的是如何使用数学和科学来开发有助于经营企业的创新技术。学生学习运营管理、基于计算机的模拟系统和商业统计应用等课程。

数学
数学学位课程通常教授数学的理论和抽象纯粹数学并将其实际应用到世界上,称为应用数学.换句话说,数学专业的学生学习代数、几何、微积分和统计学;但大多数人都将数学课程与揭示数学概念如何应用于商业管理、计算机科学、经济、金融、音乐、哲学、物理学和体育科学的课程结合起来。

技能You’学习

统计学毕业生在整个学习过程中获得的可转移技能与该领域对数据收集、组织、分析、表示和解释的关注直接相关:

  • 收集和呈现信息
  • 解决问题
  • 组织技能
  • 一般数学技能
  • 理解统计数据
  • 计算和数据处理能力
  • 对细节的关注
  • 分析技巧
  • 调查研究技能
  • 报告写作

统计学学位能做什么?

银行/金融/投资
金融分析师使用统计技术来分析、评估和总结大量的数据,这些数据用于识别金融市场趋势和做出有关融资和投资的决策。

经济学
在这个部门,经济学家使用数学和统计方法检查财务数据,并就商品和服务的生产和分配向企业提供建议。

教育
在教育领域,收集、分类、组织和总结数据对于得出普遍的结论都是至关重要的。统计也在评价和测量中发挥作用;以及测试和考试的标准化。教育数据收集帮助老师根据学生的不同,确定合适的教学方法。统计也是教育研究的一个重要方面。

政府
统计数据是由许多政府来源产生的,因为政府是靠统计来运作的。政府统计学家分析有关人口、商业和社会的一般信息。他们的任务是进行调查和社会实验,以及观察消费习惯和医疗记录等趋势。他们对具体数据的审查和解释提供了关于一个区域或国家的人口及其需要的资料。政府利用这些信息预测支出和收入,并作出预算决定。

医疗保健
受雇于医疗保健领域的统计人员监测当地情况,并将其与州、国家和国际趋势进行比较。卫生统计数据有助于管理员有效地为研究和业务分配资金。

信息技术(IT)
这对有统计学背景的人来说是很自然的选择,因为信息技术领域,就像统计学学科一样,与收集、管理、处理和分发信息有关。

保险
统计数据在保险业中尤为重要。精算师他们接受过投资策略和统计工具方面的培训,利用统计数据来确定被保险人对保险公司构成的风险,保单可能赔付的比例,以及公司预计可赔付的理赔金额。

市场研究
没有统计,每个部门的市场调查都是不可能的,很简单,因为统计提供了进行有效的市场调查所需的数据。

运筹学
统计学毕业生的分析技能在运筹学中尤为重要。在该领域工作的个人使用统计模型来改进不同业务部门的操作。例如,在运输行业,它们可以帮助航空公司或铁路确定最有效的时刻表。

药品
制药业的统计学家在药理学、生物和过程建模、成本效益建模和卫生经济学等发展领域工作。

政治
在政治上,统计分析影响政治家在各种问题上的立场;它可以决定政治运动的方向;它在推动公共政策决策方面发挥着重要作用。

公用事业公司
例如,能源和水公司雇佣有统计学背景的人,利用他们的知识来估计这些公用事业的使用和定价。

学费

看看哪些学校最贵,哪些学校最便宜。

读到学费