The Data Science program at Johns Hopkins Engineering balances theory with real-world problem solving and practical exercises that prepare you to immediately apply new skills and advance your career in this emerging discipline.
Our program aims to produce the next generation of leaders in data science by emphasizing mastery of the skills needed to translate real-world data-driven problems in mathematical ones, and then solving these problems by using a diverse collection of scientific tools. The full-time master’s degree in data science will provide the training in applied mathematics, statistics, and computer science to serve as the basis for an understanding, and appreciation, of existing data science tools.
Offered through Johns Hopkins Engineering for Professionals, which administers part-time and online graduate studies for the Whiting School of Engineering, the master’s degree in Data Science prepares students for specialized jobs involving all aspects of data science, from the data pipeline and storage to statistical analysis and eliciting the story the data tells.
The unique curriculum of the Data Science program emphasizes the field’s roots in both computer science, and applied and computational mathematics. With options to study online and on-site in state-of-the-art facilities like the Johns Hopkins Applied Physics Laboratory, students learn from distinguished faculty members who are practicing engineers and data scientists. Students explore formal techniques and modern methodologies of abstraction to create models that can be automated to solve real-world problems.