MS Data Engineering
Considering a career in one of technology’s most in-demand fields? The College of Engineering’s new Master of Science in Data Engineering may be for you. According to the Dice 2020 Tech Job Report, jobs in data engineering are growing by 50% each year, making data engineering the fastest-growing job in technology.
The Master of Science program in Data Engineering allows you to focus on your analytical, programming and engineering skills to:
- Creatively solve data-related analytical problems
- Integrate messy data into clean, usable data sets
- Organize and retrieve large data efficiently
Core courses give students a solid foundation in data engineering and will dive into big data, data analytics, data visualization and database systems.
Concentration areas focus on data engineering and biomedical engineering.
Students who graduate from this program will be able to:
- Build and maintain data pipeline systems
- Improve data reliability, efficiency and quality
- Prepare complex datasets to solve difficult problems
- Understand efficient algorithms and data structures
- Apply data engineering skills to their field of study
Considering a career in one of technology’s most in-demand fields? The College of Engineering’s new Master of Science in Data Engineering may be for you. According to the Dice 2020 Tech Job Report, jobs in data engineering are growing by 50% each year, making data engineering the fastest-growing job in technology.
The Master of Science program in Data Engineering allows you to focus on your analytical, programming and engineering skills to:
- Creatively solve data-related analytical problems
- Integrate messy data into clean, usable data sets
- Organize and retrieve large data efficiently
Core courses give students a solid foundation in data engineering and will dive into big data, data analytics, data visualization and database systems.
Concentration areas focus on data engineering and biomedical engineering.
Students who graduate from this program will be able to:
- Build and maintain data pipeline systems
- Improve data reliability, efficiency and quality
- Prepare complex datasets to solve difficult problems
- Understand efficient algorithms and data structures
- Apply data engineering skills to their field of study