Admissions 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.

Course Planning and Search

Wondering what course to take when or which courses are required? Use these helpful course planning and course search tools to help map out your path to degree completion.

Academic Calendar

Find out when registration opens, classes start, transcript deadlines and more. Applications are accepted year-round, so you can apply any time.

Certificate in Data Science

If you are not quite ready to commit to a master's degree, consider pursuing a graduate certificate as an option. You can earn a certificate in 4 courses and be on your way to a master's degree. Or, if you already have a master's degree in data science or a closely related field, a post-master's certificate can broaden your expertise.

Looking to Study Full-Time?

Whether your goal is to become a data scientist with a focus on understanding consumer and market trends or provide insights and statistics about diseases in medicine, you will be prepared to tackle any data-driven problem with skill.