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在线BSDS学位

数据科学学士学位

在线BSDS学位

数据科学学士学位

学士学位

4

大概程序长度

120

总学分

$398

每信用证成本

在线

格式

hg真人吧

报名截止日期:2023年4月19日

Gain fundamental 技能 and knowledge needed to 分析, 操作, and process data sets using statistical software. 学习ETL(提取、转换、加载)过程,以集成BI使用的数据集. 专注于数据挖掘和建模, 数据编程语言, 统计分析, 还有数据可视化和讲故事. 发现将结构化和非结构化数据集转换为可用于识别数据模式和趋势并推动战略决策的有意义信息的技术.

  • 数据分析

  • 数据管理

  • 数据可视化

  • 商业智能

下载课程和职业详细信息

通过课程获得技能

Learning shouldn’t take 年 to put into practice. 这就是为什么hg真人厅每五到六周的课程都能让你培养与职业相关的技能.

hg真人厅与Lightcast等劳动力市场研究人员合作,寻找职业所需的技能,并将这些技能映射到hg真人厅相关的学士和硕士学位课程中. Showcase new 技能 in weeks – not 年 – as you pursue your degree.

Skills-aligned程序

课程

课程

1

每次课程

5

每课程周数

10

每年课程数

hg真人的基础学习. 学生为实现教育目标制定个人策略,培养批判性思维技能, 协作, 和沟通.","title":"Foundations for University Success"},{"name":"PSY/110","description":"心理学 of Learning","credits":"3","mrktDesc":"本课程介绍心理学的理论和概念,将促进学术成功,并为学生提供综合和应用知识的机会.","title":"心理学 of Learning"},{"name":"ENG/110","description":"English Composition I","credits":"3","mrktDesc":"这门课程拓展了阅读, 写作, 批判性思维技能对于学术和生活的成功至关重要.","title":"English Composition I"},{"name":"HUM/115","description":"Critical Thinking in Everyday Life","credits":"3","mrktDesc":"学生学习如何批判性地思考, focusing on developing the necessary tools and 技能 to 分析 problems, 做决定, and formulate well-supported points of view on key academic, 社会, 以及专业问题.","title":"Critical Thinking in Everyday Life"},{"name":"FP/100T","description":"Everyday Economics and 金融s","credits":"3","mrktDesc":"本课程通过研究金钱在日常生活和社会中的重要性,向学生介绍思考和使用数字.","title":"Everyday Economics and 金融s"},{"name":"ENG/210","description":"English Composition II","credits":"3","mrktDesc":"This course extends practice in critical reading, 写作, and thinking. 重点是发展一个有效的写作过程,考虑到观众和修辞的目的.","title":"English Composition II"},{"name":"SOC/110","description":"Teamwork, Collaboration, and Conflict Resolution","credits":"3","mrktDesc":"本课程提供团队建设、协作和冲突解决的实用方法. 学生必须在学术和专业环境中理解和应用这些概念. 学生开发结构、流程和策略,以创建和维护有效的团队. 性别,文化和个人因素在团队动态也进行了探讨.","title":"Teamwork, Collaboration, and Conflict Resolution"},{"name":"SCI/220T","description":"Human Nutrition","credits":"3","mrktDesc":"本课程介绍人类营养的基本概念,以强调学生如何将健康营养融入他们的生活方式. 消化和吸收的原则, 营养素的功能, 生命周期营养实践, 疾病预防, 饮食的修改, 体重管理也包括在内. Practical application of these principles to the students\u0027 lives is emphasized.","title":"Human Nutrition"},{"name":"HUM/186","description":"Media Influences on American Culture","credits":"3","mrktDesc":"本课程介绍了影响和影响社会的最突出的媒体形式, Business, 政治, 以及当代美国的流行文化. 它探讨了每种媒体的独特方面,以及各种媒体之间的交互,这些媒体结合起来为信息共享创造了丰富的环境, 娱乐, Business, and 社会 interaction in the United States and around the world.","title":"Media Influences on American Culture"},{"name":"SCI/256","description":"People, Science and the Environment","credits":"3","mrktDesc":"这门深入的环境科学课程探讨了人们如何使用科学来理解他们与环境的关系. The course explores relationships between people and ecosystems, 以及生态系统运作背后的科学原理. It reviews the historical 发展 of the environmental movement, interactions between humans and natural ecosystems, 更具体地说, 人口增长对自然资源的作用和相关压力. 本课程进一步探讨经济学、自然系统和保护是如何相互关联的. 许多形式的污染以及类型的能源资源被解决. 本课程要求学生考虑生活方式的选择对环境可持续性的影响.","title":"People, Science and the Environment"},{"name":"MTH/215T","description":"Quantitative Reasoning I","credits":"3","mrktDesc":"学生运用先进的定量推理技能来解决现实问题. 本课程强调建模技能, 统计方法, 以及创造的概率, 分析, 沟通解决方案.","title":"Quantitative Reasoning I"},{"name":"MTH/216T","description":"Quantitative Reasoning II","credits":"3","mrktDesc":"这个应用驱动的课程培养学生批判性地分析和解决问题,使用定量推理. 学生使用大量的推理技能和数学素养来接近现实场景,得出结论.","title":"Quantitative Reasoning II"}],"defaultCoreCourseList":[{"name":"BSA/250","description":"Foundations of 数据分析","credits":"3","mrktDesc":"本课程介绍了数据分析的基本实践,以行业和数据分析领域为基础. 涵盖了分析理论, 分析生命周期的各个阶段, 数据分析和挖掘, 数据建模的相关统计数据, 数据可视化, 以及用于数据分析的工具.","title":"Foundations of 数据分析"},{"name":"PRG/211","description":"Algorithms and Logic for Computer 编程","credits":"3","mrktDesc":"本课程为学生提供编程开发实践的基本理解. 涵盖的概念包括算法和逻辑的应用程序和面向对象的计算机程序的设计和开发,以解决与Business信息系统相关的问题解决需求. This course will cover procedural 编程 concepts, 包括数据类型, 控制结构, 功能分解, 数组, 文件, 类, 和对象.","title":"Algorithms and Logic for Computer 编程"},{"name":"DAT/210","description":"Data 编程 语言","credits":"3","mrktDesc":"本课程涵盖了三种最流行的数据编程语言:Python, Java®和Ruby. 学生将在较高水平上介绍编程语言,因为他们涉及到数据库设计, 发展, 和管理.","title":"Data 编程 语言"},{"name":"BIS/340","description":"Advanced Spreadsheet Applications","credits":"3","mrktDesc":"本课程概述了在数据分析中使用的高级电子表格功能. 主题包括筛选器, 排序, 查找, 公式, 功能, 宏, 数据透视表, 图表和图表, 指示板, 形式, 报告, 查询, 统计分析, 以及数据验证.","title":"Advanced Spreadsheet Applications"},{"name":"DAT/305","description":"Data Structures for Problem Solving","credits":"3","mrktDesc":"This course provides a foundational workshop on 数据结构, 组织中商业智能(BI)的功能组件是什么. Building upon basic 编程 and database structure, 本课程为学生建立识别部署企业信息系统中包含的数据结构的能力.","title":"Data Structures for Problem Solving"},{"name":"PRG/310","description":"编程 in Python","credits":"3","mrktDesc":"This course provides an introduction to the Python 编程 language. Students will review the function and use of 变量, 数据类型, 列表, 元组, 功能, 类, 文件, 异常, 搜索/排序算法, 内存管理, 代码测试. Additional topics may include Integrated Development Environments (IDEs), 数据可视化, 全球数据集, and Web Application 编程 Interfaces (APIs).","title":"编程 in Python"},{"name":"DBM/300","description":"Database Fundamentals","credits":"3","mrktDesc":"This course covers fundamental database concepts including SQL, 非关系型数据库, distributed databases and database architectures. Students are provided an overview for how to manage, 显示, 排序, 集团, 检索, 并组织与组织内发生的软件开发相关的应用程序或工具的数据","title":"Database Fundamentals"},{"name":"PRG/315","description":"R for Data Science","credits":"3","mrktDesc":"本课程提供R的概述, which is a 编程 language commonly used for data science, 统计分析, 以及数据可视化. 主题包括语法, 变量, 运营商, 功能, 数据结构, 统计数据集, 以及图形演示.","title":"R for Data Science"},{"name":"QNT/375T","description":"Business 数据分析","credits":"3","mrktDesc":"This course provides an overview of applied Business research, 统计工具, and data analytics used to support strategic decision making. Students will examine methods used to frame Business problems, 进行研究, collect and evaluate data for validity and reliability, determine patterns and trends in performance, 并有效地提出结论.","title":"Business 数据分析"},{"name":"DAT/325","description":"SQL","credits":"3","mrktDesc":"结构化查询语言(SQL)是一种用于存储数据的领域特定语言, 查询, 并在数据库中操作数据. 本课程提供SQL和关系数据库应用程序的概述,重点是SQL语法, 数据类型, 关键字, 功能, 结构化和非结构化数据, 数据建模.","title":"SQL"},{"name":"DBM/370","description":"Database Administration","credits":"3","mrktDesc":"This course provides an overview of database administration, 包括数据库实现, 配置, 身份验证, 监控, 备份, 和安全. 学生将学习以Business需求为重点的数据库体系结构, 数据完整性, 以及对私人数据的道德处理.","title":"Database Administration"},{"name":"DSC/350","description":"Exploratory Data Analysis","credits":"3","mrktDesc":"This course provides an overview of Exploratory Data Analysis (EDA), 包括清洁, 准备, 探索, 数据的可视化. Students will review machine learning algorithms, 神经网络, 以及用于分析数据集和构建智能应用程序的人工智能(AI)概念.","title":"Exploratory Data Analysis"},{"name":"IM/310","description":"数据分析 and Modeling","credits":"3","mrktDesc":"本课程将通过当代商业工具向学生介绍数据分析和建模. Students will examine how data is architected and organized. 完成本课程后, 学生将能够理解用于存储数据的不同数据模型, several schemas that drive how data is structured, 并提供与数据设计和体系结构相关的其他数据库概念.","title":"数据分析 and Modeling"},{"name":"DAT/350","description":"Analyzing and Mining Data","credits":"3","mrktDesc":"本课程涵盖结构化和非结构化数据的数据挖掘技术. 学习编程技术和算法,将大量数据转换为可用的商业智能(BI).","title":"Analyzing and Mining Data"},{"name":"DSC/330","description":"Data 沟通 and Visualization for Business","credits":"3","mrktDesc":"本课程向学生介绍展示数据所需的工具和技术, 无论是简单的还是复杂的, to gain support and recommend Business decisions. Student will use graphical tools such as graphs, 动画, 以及表达技术,以传达数据背后的信息,并改善决策制定. 主题包括需求收集, 数据集的图形表示, 可视化技术和工具, 以及数据验证.","title":"Data 沟通 and Visualization for Business"},{"name":"DSC/460","description":"Big Data","credits":"3","mrktDesc":"本课程回顾了大数据在当前Business框架内的起源和应用. 主题包括数据验证, 处理, 预测分析被及时地用于做出明智的决定.","title":"Big Data"},{"name":"DSC/435","description":"Machine Learning","credits":"3","mrktDesc":"This course provides an overview of machine learning, 包括算法的使用, 神经网络, 和监督, 无人管理的, and reinforcement learning to automate advanced computer tasks.","title":"Machine Learning"},{"name":"DSC/445","description":"Predictive Modeling","credits":"3","mrktDesc":"This course provides an overview of predictive modeling techniques, 重点是统计分析, 数据挖掘, and machine learning tools used to find patterns and trends, 识别潜在风险, and forecast probable outcomes within various data sets.","title":"Predictive Modeling"},{"name":"DSC/495","description":"Data Science Capstone","credits":"3","mrktDesc":"本课程结合了数据科学学士课程中各种课程的技能和知识. 处理大型数据集的学生团队结合了统计学的概念, 编程, 数据挖掘, 数据分析, 并对数据可视化进行设计, 实现, 并向决策高管展示一个代表现实世界应用的数据科学项目.","title":"Data Science Capstone"}],"defaultElectiveCourseList":[{"name":"DAT/380","description":"Advanced 数据库架构师ure","credits":"3","mrktDesc":"本课程涵盖分布式数据库管理系统(DDBMS)架构, 数据结构, 模式和标准, in addition to centralized and client server systems, 服务器系统架构, 并行系统, 分布式系统.","title":"Advanced 数据库架构师ure"},{"name":"DAT/390","description":"Database Integration with Other Systems","credits":"3","mrktDesc":"This course addresses the main standards for data integration, 移动或复制和联合. Students will investigate transparency and emulation, 清洁, 存档, 以及跨系统的信息保存.","title":"Database Integration with Other Systems"},{"name":"PRG/420","description":"Java 编程 I","credits":"3","mrktDesc":"本课程是关于Java编程的研究. 它涵盖了有关Java编程的主题, 变量, 表达式, 使用分支和循环, 将数据存储在数组中并使用方法.","title":"Java™ 编程 I"},{"name":"BDAT/376","description":"Preparing Data for Analysis","credits":"3","mrktDesc":"本课程涵盖准备、清理、组织和增加数据进行分析. Students learn how to prepare data by 清洁 it, 创建必要的变量, 格式化所有变量, 抄录数据, 调整需要加权的数据, 尺度转换, 数据分析策略的选择.","title":"Preparing Data for Analysis"},{"name":"CSS/440","description":"Artificial Intelligence and Big Data Trends","credits":"3","mrktDesc":"本课程探讨与数字化数据流相关的最新技术进步, which have recently opened up new horizons for AI. 学生将深入了解大数据在人工智能中的一些应用领域, 包括机器人技术, 家庭自动化, 健康, 安全, image recognition and natural language 处理.","title":"Artificial Intelligence and Big Data Trends"},{"name":"PRG/421","description":"Java 编程 II","credits":"3","mrktDesc":"This course is an advanced study in Java™ 编程. It covers topics around advanced Java™ class design, 面向对象的设计原则, 线程, 并发性, 本地化, 访问数据库应用程序. 这些主题与Oracle®Certified Professional Java™SE考试密切相关.","title":"Java 编程 II"},{"name":"ARTS/100","description":"Introduction to the Visual and Performing Arts","credits":"3","mrktDesc":"本课程探讨视觉和表演艺术流派(包括音乐)的传统和发展, 跳舞, 剧院, 电影, 视觉艺术, 和建筑. 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计划的细节

需求

Here’s where you’ll pick up the bulk of your program-specific knowledge. 你需要120个学分来完成数据科学学士学位. 您的课程安排可能会根据可转移学分或通过预先学习评估获得的学分而有所不同.

19核心课程

数据科学理学学士学位有19门核心课程,主题从数据分析基础到预测建模.

12门通识教育课程

These courses lay the foundation for all our degree programs. 因为沟通, 数学和写作技能不仅在数据科学中普遍适用,它们在日常生活中也很有用.

必修课程选修课9门

选修课程可以让你了解你感兴趣的话题,并获得一个适合你和你的教育目标的学位.

核心课程:

  • BSA/250:数据分析基础
  • PRG/211: Algorithms and Logic for Computer 编程
  • DAT/210:数据编程语言
  • BIS/340:高级电子表格应用
  • DAT/305:解决问题的数据结构
  • PRG/310: Python编程
  • DBM/300:数据库基础
  • PRG/315: R数据科学
  • QNT/375T:商业数据分析
  • DAT / 325: SQL
  • DBM/370:数据库管理
  • DSC/350:探索性数据分析
  • IM/310:数据分析和建模
  • DAT/350:分析和挖掘数据
  • DSC/330: Data 沟通 and Visualization for Business
  • DSC/460:大数据
  • DSC/435:机器学习
  • DSC/445:预测模型
  • DSC/495:数据科学顶点

通识教育课程:

  • GEN/201:大学成功的基础
  • PSY/110:学习心理学
  • ENG/110:英语作文
  • HUM/115:日常生活中的批判性思维
  • FP/100T:每日经济与金融
  • ENG/210:英语作文2
  • SOC/110: Teamwork, Collaboration, and Conflict Resolution
  • SCI/220T:人类营养
  • HUM/186: Media Influences on American Culture
  • SCI/256: People, Science and the Environment
  • MTH/215T:定量推理I
  • MTH/216T:定量推理2

选修课程:

  • DAT/380:高级数据库体系结构
  • DAT/390: Database Integration with Other Systems
  • PRG/420: Java™编程
  • BDAT/376:为分析准备数据
  • CSS/440: Artificial Intelligence and Big Data Trends
  • PRG/421: Java编程II
  • ARTS/100: Introduction to the Visual and Performing Arts
  • ENG/135: Essentials of Contemporary 沟通
  • SCI/163T:健康要素

时间表

你的学术顾问将帮助你安排数据科学学士学位的课程. You can also customize your program at any time through your first year, by selecting a certificate to add within the credit requirements.

你会学到什么

When you earn your online Bachelor of Science in data science, 你将掌握一套具体的技能,可以应用到工作中.

你将学习如何:

  • 使用面向数据的编程语言和商业软件进行统计分析
  • Analyze 结构化和非结构化数据 sets for meaningful information
  • Evaluate Business decisions using 数据挖掘 and modeling
  • Communicate Business strategies via 数据可视化 and storytelling

职业生涯 & 结果

职业生涯 & 结果

What can you do with a 数据科学学士学位?

BSDS可以为您准备:

  • 信息系统经理
  • 数据分析师
  • 商业智能分析师
  • 数据库架构师
  • 研究科学家

16%

根据 劳工统计局在美国,计算机和信息系统管理人员的工作岗位预计将增长 比平均速度快得多 在2021年到2031年之间.

劳工统计局的预测并不针对hg真人的学生或毕业生.

学费

学费

支付学费

学费担保

负担得起的固定学费

$398

每笔贷款成本

Lock in the peace of mind that comes with fixed, affordable tuition. 从你注册的那一刻起,直到你从你的项目毕业的那一天,你将享受一个统一的费率. 这就是你的学费保证.

为你的学位节省时间和金钱

轻松转换学分

通过从另一所认可的机构转移先前合格的学分,可以更快地毕业.

为你已经知道的事情获得荣誉

Earn your degree without starting 从 scratch. 之前的相关工作和生活经历是否被评估为潜在的学分.

招生代表随时准备提供帮助

需要帮助?

hg真人厅的招生代表提供个人支持,当你做出明智的选择回到学校. Reach us by phone at 844-937-8679 or chat with us 7 days a week.

认证 & 教师

认证 & 教师

相信你的教育质量

机构认证

hg真人由高等教育委员会(HLC)认证, hlcommission.org. 自1978年以来,hg真人一直得到高等教育委员会的认可.

真实的能力

28

平均年行业经验

3

首席技术官
 

85%

Of surveyed students would recommend their instructors

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计算机科学学士学位

 

Bachelor of Science in 信息技术

 

网络安全学士学位

 

*虽然广泛适用,但并非所有项目都适用于所有州的居民. Please check with a University Enrollment Representative.

美国劳工统计局(BLS)的预测并不专门针对hg真人的学生或毕业生.