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Data science, analytics and engineering, MS

Concentrations

Find your fit

The Fulton Schools’ Data science, analytics and engineering (DSAE) master’s program is flexible. With eight concentrations, you can easily find an area of interest that aligns with your bachelor’s degree as well as your career interests.

Data Science, Analytics and Engineering (Bayesian Machine Learning)

This concentration focuses on bayesian learning, decision-making, and computation.

Data Science, Analytics and Engineering (Computational Mathematics and Data)

This concentration focuses on computational skills in optimization, machine learning, stochastic processes and dynamical systems.

Data Science, Analytics and Engineering (Computing and Decision Analytics)

This concentration focuses on computing and industrial engineering.

Data Science, Analytics and Engineering (Electrical Engineering)

This concentration focuses on electrical engineering.

Data Science, Analytics and Engineering (Human Centered Applications)

This concentration focuses on the human experience and needs with machine learning and AI applications.

Data Science, Analytics and Engineering (Materials Science and Engineering)

This concentration focuses on material science and engineering.

Data Science, Analytics and Engineering (Mechanical and Aerospace Engineering)

This concentration focuses on how data science interacts with concepts in mechanical and aerospace engineering, such as controls, energy systems, aeronautics, and mechanics.

Data Science, Analytics and Engineering (Sustainable Engineering and Built Environment)

This concentration focuses on sustainable engineering and the built environment.