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 prerequisites:
  • (1) three semesters or five quarters of calculus, which includes multivariate calculus such as:
    625.108 – Calculus I
    625.109 – Calculus II
    625.250 – Multivariable Calculus and Complex Analysis
  • (2) one semester/term of advanced math:
    625.252 – Linear Algebra and Its Applications (Strongly Preferred)
    OR
    625.251 – Introduction to Ordinary and Partial Differential Equations
    OR
    605.203 – Discrete Mathematics
  • (3) one semester/term of Python (Java may be substituted)
    605.206 – Introduction to Programming Using Python
    OR
    605.201- Introduction to Programming Using Java
• If your prior education does not include the prerequisites listed above, you may enroll under provisional status, followed by full admission once you have completed the missing prerequisites. Missing prerequisites 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 prerequisite courses.
• You may submit a detailed résumé if you would like your academic and professional background to be considered.
• If you are an international student, you may have additional admission requirements.

Degree Requirements

• Ten courses must be completed within five years.
• The curriculum consists of seven required courses, two Applied and Computational Mathematics (EN.625.6xx) and (EN.625.7XX) electives, at least one of which must be at the 700-level, and one Computer Science elective (EN.605.7xx) at the 700-level.
• 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.
• Course selections outside of the foundational, required, and elective course lists below are subject to advisor approval.
• Courses applied toward undergraduate or graduate degrees at other institutions (non-JHU) are not eligible for transfer or double counting to a Data Science master’s degree or post-master’s certificate. Up to two graduate courses taken outside of JHU after an undergraduate degree was conferred and not applied toward a graduate degree may be considered toward the Data Science master’s degree subject to advisor approval.
• 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.