Data Engineering (BS)
Why study Data Engineering?
Data Engineering is an emerging field focused on collecting, transforming, visualizing, analyzing, and modeling data. If you like to solve problems, design things, enjoy math and science, have a natural curiosity, thrive on challenges, and enjoy collaborating with others, you will find Data Engineering to be a rewarding field of study.
As a Data Engineering major at AU, you will gain both the knowledge and proficiency necessary to work with modern data-driven systems. You will learn how to transform data into usable information, perform mathematical analyses, and develop models. You will take classes in advanced mathematics, probability and statistics, analytics and modeling, engineering, design, the sciences, and computer programming. Your coursework will prepare you to use data for advanced decision-making in key industries — such as business and finance, defense, education, healthcare, manufacturing, and retail.
You will also be able to expand your career possibilities by automatically earning minors in Computer Science and Mathematics upon successful completion of the Data Engineering coursework.
2022 ANNUAL MEDIAN SALARY FOR DATA SCIENTISTS
2022-2032 PROJECTED JOB GROWTH RATE
- Advanced probability and statistics
- Applied statistics
- Computer programming
- Database design and implementation
- Engineering design
- Financial engineering
- Mathematical problem-solving and modeling
- Modeling, optimization, and statistical programming
- Predictive analytics and data analysis
- Senior capstone experience
- Software testing verification, validation, and quality assurance
- Data analyst
- Data engineer
- Data scientist
- Information systems analyst
- Information systems engineer
- Systems analyst
Data engineering experiential learning
Many Data Engineering classes require intensive project work. These projects, along with your senior capstone project, provide crucial experience to help you secure a job after graduation.