Assistant Professor, Mathematics
Ph.D., Mathematics, University of Kentucky
Program Contacts
Mathematics & Statistics Department
Aaron
Montgomery
Coordinator,
Data
Science
&
Analytics
(440)
826-6823,
amontgom@channelmaddie.com
Computer Science Department
Andrew
Watkins
Chair,
Computer
Science
Department
(440)
826-2396,
anwatkin@channelmaddie.com
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OVERVIEW
The data analytics major is an interdisciplinary program that equips students with the skills needed to unlock the power of data and become indispensable contributors to their organizations. This rigorous program combines the technical skills involved in data work with training in business and communication to empower students to provide data-based insights to their organizations.
From high-level strategic decisions down to individual clicks on websites, nearly every facet of a business involves data. In the coming years, the collection and utilization of data will be an important determining factor in a company's success, and data analysts will play an integral part in decision-making.
If you excel in math or have an interest in using code to make a valuable contribution to the business world, BW's data analytics program offers the perfect foundation.
What Can You Do with a Data Analytics Degree?
Employers are looking for candidates with the knowledge and skills to address the unexpected problems that confront their organizations. Earning a bachelor of arts in data analytics can open a number of doors for you after graduation. You can pursue opportunities in almost any field, as the skills you learn in data analytics can be applied in different organizations and industries. Below are just a few examples of roles you can pursue after graduation.
- Data analyst - Use statistical techniques to analyze data and interpret results to others.
- Business intelligence analyst - Identify ways to turn data into value for your organization.
- Market analyst - Research clients and market conditions to guide the direction of your organization.
- Quantitative analyst - Apply statistical techniques to problems involving risk management.
- Data scientist - Gather large datasets and develop tailored models to answer important business questions.
Data Science vs. Data Analytics
BW offers data analytics and data science majors, both of which feature many common courses and goals, but with some key differences between the two programs. Your professional goals and career path will help determine which major is the best fit for you.
The data analytics degree places a more targeted focus on applications of data to business contexts, while the data science degree gives students more technical preparation in mathematics and computing.
If you are unsure about which program you would like to pursue, the similarities in the two majors allow you to easily switch from one to the other, especially early on. Below you can see how the two fields overlap, as well as some distinct differences.
Courses required for the B.A. in data analytics but not for the B.S. in data science include:
- BUS-358 (Business Communication)
- BUS-365 (Business Analytics)
- CAS-263 (Special Topics in Communication)
CURRICULUM
数据分析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.
为了将数据技能应用于有意义的问题, 完成数据分析文学学士学位的学生将通过选择数学和计算以外的首选学科领域来履行BW对艺术和科学教育的承诺.
该计划的欧博allbet为基础的性质将给你一个有价值的, 全面的经验,同时帮助你建立一个投资组合,向未来的雇主展示你的工作.
Learning Outcomes
完成数据分析学位的学生将能够:
- 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.
- 将数据技能应用于面向业务的环境.
- 开发适合非技术受众的数据驱动的见解.
Key Data Analytics 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 (Senior Capstone Project)
在一项外部训练中选择一个专注点
In addition to the 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 and 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 areas of concentration.
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.
DEMONSTRATE YOUR SKILLS IN A PORTFOLIO
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. Whether you want to study biology, 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
大多数数据分析课程将在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.
CHOOSE OHIO FIRST STEM SCHOLARS PROGRAM
The BW Choose Ohio First STEM Scholars Program 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
FACULTY
Full-Time Faculty
Aaron
Montgomery
Coordinator,
Data
Science
&
Analytics
Associate
Professor
of
Mathematics
Ph.D.,
University
of
Oregon
Brent
Strunk
Chair,
Mathematics
&
Statistics
Department
Professor
of
Mathematics
Ph.D.,
Purdue
University
Andrew
Watkins
Chair,
Computer
Science
Department
Associate
Professor
Ph.D.,
University
of
Kent,
UK
Laura
Croyle
Assistant
Professor
of
Mathematics
Ph.D.,
University
of
Kentucky
Melissa
Dennison
Professor
of
Mathematics
Ph.D.,
University
of
Illinois
Navneet
Grant
Assistant
Professor
of
Computer
Science
DBA,
Cleveland
State
University