Johns Hopkins University campus

Engineering

Data Science, Master of Science at Johns Hopkins University

Johns Hopkins University, United States

Programme overview

Three semesters or five quarters of calculus, which includes multivariate calculus ( EN.625.250 Multivariable Calculus and Complex Analysis or equivalent will be accepted) One semester/term of advanced math (Linear Algebra is strongly preferred but Discrete Mathematics or Differential Equations will be accepted)

Faculty: Whiting School of Engineering  |  Study mode: online  |  Location: Baltimore, MD, United States

What you will study

Ten courses (30 credits) must be completed within five years. Students are required to choose a focus area. The curriculum consists of two core courses (6 credits), five required courses (15 credits), and three courses (9 credits) from the selected focus area of which at least two must be 700-level. Focus areas do not appear as official designations on a student’s transcript or diploma.

Official programme page

Application information

Entry requirements

Three semesters or five quarters of calculus, which includes multivariate calculus ( EN.625.250 Multivariable Calculus and Complex Analysis or equivalent will be accepted) One semester/term of advanced math (Linear Algebra is strongly preferred but Discrete Mathematics or Differential Equations will be accepted) Two semesters/terms of Python (which can include non-credit coursework such as Coursera or edX, etc.) and EN.605.256 Modern Software Concepts in Python or equivalent

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