Johns Hopkins University Engineering for Professionals - Online Master of Science in Data Science
The Whiting School of Engineering at Johns Hopkins University offers an online Master of Science in Data Science program. Drawing on the combined resources of Johns Hopkins Engineering and the Johns Hopkins Applied Physics Laboratory, the program targets proficiencies in computer science, applied mathematics, and statistical modeling, and how these skills are applied in the field of data science. Students are required to complete 30 credits of coursework, or ten courses, to graduate, and they have up to five years to do so. The time to completion is 20 months for students who take two courses per semester, and 40 months for those who opt for one course per semester. The program is 100% online and does not require any campus visits.
Johns Hopkins University Engineering for Professionals utilizes the Blackboard course management system for its online programs. Courses are taught asynchronously, using class modules that include recorded video lectures, readings, and discussion forums that can be accessed on-demand by online students. In addition, instructors hold weekly synchronous office hours at designation times using Adobe Connect. Students entering the program must have prior experience in Python and Java programming, data structuring, and applied mathematics.
The MS in Data Science curriculum at Johns Hopkins is built around two core areas of coursework. Students must take four required classes and one elective in Computer Science, and Applied and Computational Mathematics. Required courses include: Foundations of Algorithms; Principles of Database Systems; Data Science; Data Visualization; Statistical Methods and Data Analysis; Introduction to Optimization; Statistical Models and Regression; and Computational Statistics. Electives are then chosen from courses in the following subject areas: Large Scale Database Systems; Machine Learning; Semantic Natural Language Processing; Data Mining; Game Theory; and Probability and Stochastic Process. There is no master’s thesis requirement; however, students may complete an independent study in data science or a capstone project as one of the two designated electives.
Johns Hopkins University and the Whiting School of Engineering are accredited by the Middle States Commission on Higher Education.