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Data Science; Bachelor of Science

What You'll Learn

  • Processing large data sets and programming for data-intensive applications
  • Model diagnostics and forecasting
  • Data management and mining
  • Classification and regression trees
  • Logistic regression and neural networks
  • Methodologies for statistical learning including generalized logistic and ridge regression and hierarchical clustering
  • Database design and management including data modeling, relational theory, etc. 

What You Can Do

Job What They Do
Data Analyst Collect, process, and perform statistical data analyses with the goal of helping companies make better decisions
Business Analyst Improve business processes by serving as a liaison between business and IT with a clear directive to focus on advancing strategic business objectives
Marketing Analyst Study information to better assist companies in making informed decisions about market opportunities
Data Architect Create blueprints for data management systems to integrate, centralize, protect, and maintain data sources
Data Mining Specialist Identify patterns and relationships in data to help a company predict future behaviors and make more intelligent, data-driven decisions
Machine Learning Engineer Program computers to accept real-world data from real people utilizing technology and determine from that data the person's likes and tendencies with the goal of placing more relevant advertisements in front of customers
Database Developer Design, program, construct, and implement new databases, as well as modify existing databases for platform updates and changes in user needs

Required Courses

Contact Us

Dr. Mark Fridline

Dr. Mark Fridline
Title: Professor of Instruction/Department Chair
Dept/Program: Statistics
Phone: 330.972.8476

Dr. Jun Ye

Dr. Jun Ye
Title: Professor / Data Science Program Coordinator
Dept/Program: Statistics
Phone: 330.972.8008