理学硕士 数据科学

数据科学是技术领域最热门的新领域之一, driving innovation both at technology leaders such as Google and 脸谱网, 在证券等成熟市场也是如此, 医疗保健, 和能源. 数据科学家是过去十年最热门的新工作之一, 需求量大, 高工资, 工作满意度也很高.

学会从数据中提取见解

数据科学 is an emerging field that combines methods from machine learning, 人工智能, and statistics with entirely new technologies for handling vast amounts of complex and quickly-changing data. The job of a data scientist is to apply these methods to gather information and achieve goals that are otherwise impossible for human experts due the large quantities and complexity of the data.

网赌上分平台的M.S. 在数据科学项目中, you will develop proficiencies in the key skills expected of leading data scientists, 包括深度学习和统计分析, and the data skills needed to work with unstructured data and 自然语言处理 (NLP).

可能的角色和应用包括:

  • 能源: Creating a system for the best distribution of electricity on a city’s power grid, to maximizing utilization of wind and solar resources through quickly-changing weather conditions.
  • 商业: Detecting and adapting to patterns of fraudulent transactions in the 500 billion online transactions performed each day.
  • 医疗保健:Developing systems for monitoring data collection captured by wearable devices to identify potential warning signs at an early stage.
  • 执法部门:Identifying potential warnings of upcoming terrorist activity by scanning the thousands of hours of video uploaded to YouTube each day.
就业前景

There’s a reason why "data scientist" has been named the country’s top job over and over again. 对熟练数据科学家的需求很高, 工资远高于平均水平, 工作满意度高居榜首. There has never been a better time to advance your technical skills and capabilities, 加强你的领导能力和沟通能力, 成为一名出色的数据科学家.

下面的图表显示了美国排名前五的工作, 根据Glassdoor网站, and other jobs in the top 50 related to data science, analytics, and big data

2021年排名 职称 工作满意度 基本工资中位数 职位空缺
1 Java开发人员 4.2 $90,830 10,103
2 数据科学家 4.1 $113,736 5,971
3 产品经理 3.9 $121,107 14,515
4 企业架构师 4.0 $131,361 10,069
5 DevOps工程师 4.0 $110,003 6,904
6 信息安全工程师 4.0 $110,000 5,621
9 软件工程师 3.8 $110,245 40,564
13 策略管理器 4.2 $123,207 2,647
35 数据分析师 3.9 $70,000 7,748

向致力于你的成功的教授学习.

Our faculty are leaders and innovators in their fields, bringing both deep professional experience 以及课堂上的学术严谨.

充电器的优势

Get an inside look at what differentiates the 网赌上分平台 and how your experiences as a student will prepare you for success.

国家认可的职业发展中心

All 网赌上分平台 students have access to the many resources available through the University’s 职业发展中心它被评为全国最好的学校之一 普林斯顿评论.

来自职业评估, 网络, 从工作见习到校园面试和薪资谈判, the 职业发展中心 provides the skills and connections to identify a meaningful career and an opportunity to pursue your passion.

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设想你的未来

The information below is designed to show the many possible careers you could pursue with your major. 该研究由Encoura提供, the leading research and advisory firm focused exclusively on higher education. It includes median national salaries and industry growth projections over the next decade. 点击此处查看报告全文.

$110K

软件开发人员

2021-2030年增长21%

$98K

数据科学家

2021-2030年增长25%

$92K

统计学家

2021-2030年增长26%

选修课
  • An introduction to machine learning theory, design and implementation. 包括数学基础, 分类方法, 回归, 无监督学习, 以及统计学习理论的核心概念. Course will emphasize and use Python tools and machine learning application to real datasets.

  • An introduction to the basic ideas and techniques underlying the design of intelligent computer systems. A specific emphasis will be on the statistical and decision theoretic modeling paradigm.

  • This course covers artificial neural networks and modern network architectures with an overview of achievements and open problems in deep learning. Emphasis is placed on hands-on 程序ming using modern frameworks and real data. Topics include convolutional, recurrent, and unsupervised-learning networks.

  • An exploration for essential data science skills involved in working with unstructured data, including transforming it into structured data types able to be analyzed, 加工过的, 并用于机器学习和信息检索算法. Material focuses on natural language processing and classification techniques used in text mining.  

  • Advanced topics in "Big Data" infrastructure and architectures focusing on computing resources and 程序ming environments to support the development of efficiently scalable high-volume distributed machine learning algorithms.  

  • The 网赌上分平台 offers a wide variety of in-depth courses that create a transformational educational experience for our students. 要查看您在攻读硕士学位时将学习的课程的完整列表.S. 在数据科学中,请查看学术目录:

    数据科学硕士.S.

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