北德州大學(xué)

The Master of Science program in Data Engineering allows students from STEM disciplines to focus their analytical, programming and engineering skills to integrate messy data into clean, usable datasets; organize, retrieve large data efficiently, and creatively solve data-related analytical problems.

UNT’s degree is interdisciplinary, allowing students to leverage their existing skill set and experience by combining it with skills in data engineering. Graduate students in our program have the opportunity to focus their entire degree on data engineering or specialize in biomedical engineering.

What to expect

Students can expect to take 15 hours of core courses, 3 hours of predictive analytics coursework, and 15 hours in their chosen concentration.

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

Course offerings

• Core Courses | 15 Hours
• Predictive Analytics Course | 3 Hours
• General Data Engineering Concentration | 15 Hours
• Biomedical Engineering Concentration | 15 hours

Choose your career path

While estimates vary, a recent report from O’Reilly states companies typically need a minimum 2-3 data engineers for every data scientist to successfully complete projects, and the current job market is struggling to keep up with this demand. Our M.S. in Data Engineering program prepares students to enter this thriving job market right out of college.

The most in-demand jobs are data engineers, data architects, business intelligence architects, machine learning engineers, and data warehouse engineers/developers, with many data engineers working in many different fields.

Marketable Skills gained from this program include:

• Efficiently visualize data
• Effectively communicate technical information
• Quickly adapt to new technologies
• Collaborate to solve problems
• Understand and use data software