Admissions Requirements

  • You must meet the general admission requirements that pertain to all master’s degree candidates.
  • Your prior education must include the following prerequisites: (1) one year of calculus (2 semesters or 3 quarters); (2) one semester/term of advanced math (discrete math is strongly preferred but linear algebra and differential equations will be accepted); (3) one semester/term of Java (C++ will be accepted but the student must be knowledgeable in Java); (4) One semester/term of data structures; and (5) One semester/term of computer organization (e.g., assembly language and machine organization).
  • 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.
  • 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.
  • Bioinformatics Joint Program:
    • This program is offered jointly by the Zanvyl Krieger School of Arts and Sciences and the Whiting School of Engineering. However, the administration is handled by the Zanvyl Krieger School of Arts and Sciences, and applications for admission to the Master of Science in Bioinformatics joint program must be submitted directly to Zanvyl Krieger School of Arts and Sciences. Applicants must provide a résumé or curriculum vitae and a 500-word statement of purpose. The admissions committee reserves the right to request additional information from applicants, such as GRE scores or letters of recommendation, if needed to assess their candidacy for admission.

Degree Requirements

  • Ten courses must be completed within five years.
  • Students are required to choose a focus area to follow.
  • The curriculum consists of three foundation courses and five courses from the Computer Science program, which includes selected courses from the Cybersecurity (695.xxx) and Information Systems Engineering (635.xxx) programs. At least three courses must be from the same focus area, at least three must be at the 700-level, and at least one 700-level course must be in the chosen focus area.
  • Up to two electives may be selected.
  • Courses not listed in the Courses section are considered electives for Computer Science.
  • Transfer courses will be considered electives. Transfer courses must meet all general Engineering for Professionals requirements for transfer, must be directly applicable to Computer Science, and will be considered on a case-by-case basis.
  • Only one C-range grade (C+, C, or C−) can count toward the master’s degree.
  • All course selections, including electives, are subject to advisor approval..
  • Communications and Networking Concentration:
    • Ten courses must be completed within five years.
    • The curriculum consists of three foundation courses from the program and seven concentration courses, of which a maximum of three may come from the Electrical and Computer Engineering (525.xxx) program.
    • Students are strongly encouraged to take courses from both Computer Science and Electrical and Computer Engineering.
    • Students lacking an electrical engineering background or equivalent must take 525.202 Signals and Systems as an undergraduate prerequisite before taking Electrical and Computer Engineering communications and networking courses.
    • Only one C-range grade (C+, C, or C−) can count toward the master’s degree.
    • All course selections are subject to advisor approval.
    • Concentrations are noted on the student’s transcript.
  • Graduate students who are not pursuing a master’s degree in Computer Science should consult with their advisor to determine which courses must be successfully completed before 600- or 700-level Computer 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 Computer Science

If you are not quite ready to commit to another master’s degree, take a look at pursuing our post-master’s certificate option. You can earn this certificate in 5 courses.

Looking to Study Full-Time?

From systems and networks to machine learning to computational biology, the latest research findings and techniques inform every facet of the comprehensive and flexible full-time Computer Science graduate program.