Data Science/Engineering

Earn your master’s degree in Data Science/Engineering from a leading R1 research university with top-ranked programs.


Why Data Science / Engineering?

At Auburn University, you will learn how to derive valuable insights from massive amounts of raw data preparing you for careers in industry or government as a consultant, engineer, policy-maker or scientist.

Most data-centric programs offer an emphasis on computer science or business analytics. This is a joint program with the both Auburn’s College of Sciences and Mathematics and the Samuel Ginn College of Engineering that covers the entire spectrum from fundamentals to hands-on applications. Each student has an opportunity to complete a capstone project with an industry leader.


Data Science/Engineering Jobs

More than 11 million new jobs will be created in this field by 2026 according to the U.S. Bureau of Statistics.

Data Science/Engineering Growth

Data Science/Engineering is one of the top emerging career tracks. LinkedIn reports that jobs in Data Science/Machine Learning are one of the fastest growing areas.

Data Science/Engineering Income

The average base pay for a Data Scientist/ Engineer is $117,345 per year according to, June 2019.


Program Options

Earn your master’s degree in Data Science and Engineering from a leading R1 research university with top-ranked programs. At Auburn University, you will learn how to derive valuable insights from massive amounts of raw data preparing you for careers in industry or government as a consultant, engineer, policy-maker or scientist.

This interdisciplinary program has two options:

  • The Data Engineering option is administrated by the Department of Computer Science and Software Engineering.
  • The Data Science option is managed by the Department of Mathematics and Statistics.
We also offer an accelerated bachelors/masters joint program, and have an upcoming graduate certificate program. More information on all these programs can be found here.


  • Blends graduate-level courses in core topics like data mining, machine learning, and statistical learning
  • Offers a wide variety of electives in addition to a required capstone experience – where students apply their knowledge and skills to a real-world application scenario
  • Equips students with foundational skills and state-of-the-art technologies related to the next generation of big data applications

Skills You Will Learn

  • Analyze data statistical learning
  • Create machine learning solutions
  • Understand and interpret patterns
  • Develop programs and design apps
  • Communicate big data concepts with non-technical stakeholders

Questions? Contact Us


Data Science
Nedret Billor, Ph.D.
Statistics and Data Science Programs Coordinator
Phone: 334-844-3619


Data Engineering
Xiao Qin, Ph.D.
Director of Graduate Programs
Phone: 334-844-6327