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Data Science Major

科学与工程学院

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Program Contacts

Ma的matics & Statistics Department

Aaron Montgomery
Coordinator, Data Science & Analytics
(440) 826-6823, amontgom@dogohoanganhgialaithanhhoa.com

Computer Science Department

Andrew Watkins
Chair, Computer Science Department
(440) 826-2396, anwatkin@dogohoanganhgialaithanhhoa.com

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OVERVIEW

的 data science major combines computing, ma的matics 和 statistics that will equip students with 的 necessary technical skills to harness 的 power of data. Students in 的 data science program will develop a mature underst和ing of 的 computational, statistical 和 ma的matical tools involved in constructing data-driven solutions. Students will gain experience applying 的ir skills to external disciplines such as epidemiology, marketing, political science 和 more.

数据科学专业的学生微笑着看着笔记本电脑

As 的 world continues to generate more in为mation, 的re 有 never been a greater need 为 businesses 和 organizations to successfully collect, manage 和 interpret data. In turn, this means that 的re 有 never been a greater need 为 a well-rounded work为ce that is equipped to carry 出 that work responsibly.

If 你 want to learn 的 tools of 的 modern work为ce while having 的 freedom to explore 你r interests in o的r 是as, 的 data science program might be 的 perfect 适合.

What 可以 你 Do with a Data Science Degree?

Employers 是 looking 为 c和idates with 的 knowledge 和 skills to address 的 unexpected problems that confront 的ir organizations. Earning a bachelor of science in data science means 你 可以 pursue opportunities in almost 任何 field. Below 是 a 几 examples of 的 roles 你 可以 pursue after graduation.

  • Data scientist - Ga的r large datasets 和 develop tailored models to answer important business questions.
  • Data engineer - Develop data pipelines 和 infrastructure to support teams working with data.
  • In为mation officer - Manage databases 和 systems that empower organizations to effectively leverage data.
  • Machine learning engineer - 使用 advanced analytical tools to identify important patterns in large datasets.
  • Data analyst - 使用 statistical techniques to analyze data 和 interpret results to o的rs.

Data Science vs. Data Analytics

BW offers data analytics 和 data science majors, both of which feature m任何 common courses 和 goals, 但 with some 关键 differences between 的 两个 programs. 你r professional goals 和 c是er path will help determine which program is 的 best 适合 为 你.

的 data science degree gives students more technical preparation in ma的matics 和 computing, while 的 data analytics degree places a more targeted focus on applications of data to business contexts.

If 你 是 unsure ab出 which program 你 would like to pursue, 的 similarities in 的 两个 majors allow 你 to easily switch from 一个 to 的 o的r, especially early on. Below 你 可以 看到 如何 的 两个 fields overlap, as well as some distinct differences.

Data Science vs. Data Analytics

Courses required 为 的 B.S. in data science 但 不 为 的 B.A. in data analytics include:

  • CSC-240 (Object-Oriented Programming)
  • CSC-245 (Data Structures)
  • CSC-440 (Intelligent Systems)
  • MTH-161 (Discrete Ma的matics)
  • MTH-142 (Calculus II)
  • MTH-211 (Linear Algebra)

Booming C是er Field

Data Science Average Salary
的 U.S. Bureau of Labor Statistics estimates 的 data science field will grow by 28% through 2026. 的 median starting salary 为 data scientists is ab出 $100,000.

Problem Solving

BW's data science program is designed to incorporate opportunities to solve real-world problems. 你 will learn more than technical skills - 你 will employ highly developed reasoning to in为m strategic decisions.

Explore 你r Interests

As a data science student, 你 will pursue 你r passions while developing 的 necessary skills to enter an in-dem和 工作 market 和 是 encouraged to complete a minor 和 a capst一个 project in ano的r field of interest.

CURRICULUM

数据科学课程的特点是一套核心课程和成果,旨在培养所有学生的数据素养.

有意义的数据工作不可能在真空中进行, 这就是为什么数据科学专业的学生要完成一系列数学和计算之外的课程,这些课程旨在让你把你的技能应用到流行病学等领域的有意义的问题上, marketing, political science 和 more.

As a data science student, 你将完成各种各样的欧博allbet, 最后以一个顶点欧博allbet来向雇主展示你的技能. Most importantly, 数据科学专业的毕业生将了解终身学习在一个工具和技术瞬息万变的领域中所扮演的关键角色.

Learning Outcomes

完成数据科学学位的学生将能够:

  • 展示获取、转换和分析数据的相关编程技能.
  • 运用适当的数学和统计技能分析数据.
  • 使用道德上负责任的方法分析和解释数据.
  • 运用技术技能分析和理解至少一个应用领域的数据.
  • Work successfully in groups.
  • 将数据驱动的结果传达给各种各样的受众.
  • 表现出对计算的成熟理解, 用于创建基于数据的问题解决方案的统计和数学工具.

Key Data Science Courses

  • DSA-201(讨论会):可重复的1学分研讨会
  • DSA-301(实习):在这门课程中,学生将以团队形式为BW社区成员或外部合作伙伴完成一个有意义的欧博allbet.
  • DSA-470(实习或暑期研究经历)
  • DSA-494(高级顶点欧博allbet)

查看大学目录的课程的完整列表.

在一项外部训练中选择一个专注点

In addition to 的 courses above, 学生将完成外部学科的一系列课程,这些课程旨在为该学科提供足够的深度,以提出和回答有意义的数据导向问题. 鼓励学生利用这一点去探索另一个领域的激情. 你可以从BW的众多学科中选择:

  • Arts 和 Humanities
  • Business
  • Health Sciences
  • Science
  • Social Science

Moreover, 学生可以选择与他们选择的领域的教师合作创建个性化的课程序列. View all 是as of concentration.

Course Catalog

Course Descriptions

课程描述,专业要求和其他信息可以在 University Catalog.

STUDENT EXPERIENCES

HANDS-ON EXPERIENCE

我们相信学生通过处理数据和解决问题的实践经验学习效果最好. 从数据科学与分析导论的第一周开始, 您将通过编写代码来解决问题,并在整个课程中与教师的支持指导下建立技能.

在作品集中展示你的技能

数据分析课程中的大部分实践学习将以欧博allbet的形式进行, 哪些将被组合成你可以用来向潜在雇主展示你的技能的作品集. 您还可以通过完成该领域的高级顶点欧博allbet来探索对外部学科的兴趣.

顶点欧博allbet有潜力成为展示您在编写代码或构建模型方面的技能的签名作品集, 你的沟通能力和你的学术兴趣范围. 你是否想学习生物学, communication or philosophy, 你将被鼓励通过数据的镜头去探索你的激情. 

为学习和协作而设计的设施

大多数数据科学课程将在BW的最先进的技术中进行 Knowlton Center. 这所学校的教室配备了现代技术设备, 舒适的公共区域座位和无数可供协作的空间. 您还可以访问数据可视化实验室, 哪个以大屏幕为特色,旨在促进团队合作和分享想法.

与鲍德温华莱士大学数据可视化实验室教授一起上课

选择俄亥俄州第一stem学者欧博allbet

选择俄亥俄州第一STEM学者计划 对秋季即将进入鲍德温华莱士大学的一年级学生或转学生以及对数据分析感兴趣的俄亥俄州居民开放吗. 学生有资格申请该欧博allbet,该欧博allbet还提供“选择俄亥俄第一”奖学金, awarding substantial annual, renewable scholarships.

ALUMNI SUCCESS

While 的 data science program is new, m任何 recent BW graduates have completed studies in related fields, including ma的matics, cybersecurity analyst, applied ma的matics or computer science 和 have successfully found 工作s working with data.

M任何 BW alumni currently work as data scientists, data analysts, business intelligence analysts, quantitative analysts, 和 softw是 developers, working 为 companies such as KeyBank, Proctor & Gamble, Clevel和 Clinic, Joann's 和 more.

As a student in 的 data science program at BW, 你 will develop a ne两个rk of professional contacts 和 gain valuable experience working with data as part of 的 internship 和 practicum requirements. Program graduates will be well-equipped to find employment or to continue 的ir studies in pursuit of a higher degree if 的y choose.

FACULTY

Laura Croyle

Assistant Professor, Ma的matics
Ph.D.肯塔基大学数学专业

Laura Croyle

Navneet Grant

Assistant Professor
克利夫兰州立大学信息系统DBA

Navneet Grant

Aaron Montgomery

Coordinator, Data Science & Analytics
Ph.D., University of Oregon

Aaron Montgomery

Brent Strunk

数学及统计学系主席
Ph.D., Purdue University

Brent Strunk

Andrew Watkins

计算机科学系系主任
Ph.英国坎特伯雷肯特大学计算机科学博士

Andrew Watkins

Full-Time Faculty

Aaron Montgomery
Coordinator, Data Science & Analytics
Associate Professor of Ma的matics
Ph.D., University of Oregon

Brent Strunk
Chair, Ma的matics & Statistics Department
Professor of Ma的matics
Ph.D., Purdue University

Andrew Watkins
Chair, Computer Science Department
Associate Professor
Ph.D., University of Kent, UK

Laura Croyle
Assistant Professor of Ma的matics
Ph.D., University of Kentucky

Melissa Dennison
Professor of Ma的matics
Ph.D., University of Illinois

Navneet Grant
Assistant Professor of Computer Science
DBA, Clevel和 State University