Data Science Master's Degree Requirements

Admissions Requirements

• You must meet the general admission requirements that pertain to all master’s degree candidates.
• Prior education must include the following courses
  • 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);
  • One semester/term of Python such as EN.605.206 Intro to Programming Using Python or equivalent (including non-credit coursework such as Coursera or edX, etc), AND EN.605.256 Modern Software Concepts in Python or equivalent.
• If your prior education does not include the courses listed above, you may enroll under provisional status, followed by full admission once you have completed the missing courses. Missing courses may be completed with Johns Hopkins Engineering or at another regionally accredited institution. A grade of B– or better must have been earned in each of the courses.
• Official transcripts from all college studies must be submitted. When reviewing an application, the candidate’s academic and professional background will be considered. A résumé is optional.
• If you are an international student, you may have additional admission requirements.

Degree Requirements

• Ten courses 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. 
• Students with core or required course waivers may take up to two electives selected from other EP programs. Course selections outside of the lists of courses below are subject to advisor approval. Transfer courses will be considered electives. 
• Only one C-range grade (C+, C, or C–) can count toward the master’s degree. Any grade for a course lower than a C- will not be counted toward the degree.
• Non-degree students in Data Science should consult with their ad­visor to determine which courses must be successfully completed before 600- or 700-level Data Science courses may be taken.