Data Science Graduate Certificate Requirements

Admission Requirements

• You must meet the general admission requirements that pertain to all graduate certificate candidates.
• Your prior education must include the following prerequisites: (1) Three semesters or five quarters of calculus, which includes multivariate calculus; (2) One semester/term of advanced math (discrete mathematics is strongly preferred but linear algebra and differential equations will be accepted); (3) One semester/term of Java or Python (C++ will be accepted but the student must be at least also somewhat knowledgeable in Java or Python); (4) One semester/term of Data Structures.
• If your prior education does not include the prerequisites listed above, you may still be admitted under provisional status, followed by full admission once you have completed the missing prerequisites. Missing prerequisites may be completed with Johns Hopkins Engineering (all prerequisites are available) or at another regionally accredited institution.
• If you decide to pursue the full master’s degree, all courses will apply to the master’s degree provided they meet program requirements and fall within a five-year time limit. You must declare your intention prior to completing the certificate.
• If you are an international student, you may have additional admission requirements.

Certificate Requirements

• Complete the two foundational courses and two electives offered from the course list below. These must be completed within five years.
• One or more required courses can be waived by your advisor if you have received a grade of a B− or above in equivalent graduate courses. In this case, you may replace the waived required courses with the same number of other graduate Data Science courses and may take these courses after all remaining course requirements have been satisfied.
• Only one C-range grade (C+, C, or C−) can count toward the graduate certificate.
• All course selections outside the four required foundational courses are subject to advisor approval.