Johns Hopkins Engineering, ranked No. 13 in U.S. News & World Report’s 2025 graduate school rankings, offers a Data Science MSE program that prepares students for professional leadership in a broad range of data science-related fields and applications.
| Application deadlines | September 15, 2025 for spring 2026 admission January 15, 2025 for fall 2026 admission |
| Average time to degree completion | Three to four full-time semesters |
| Tuition | $66,670 annually / $33,335 per semester |
| Funding support | More details here |
No GRE required, and no application fee.
What makes us unique?
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An unprecedented investment in data science and AI
JHU’s recent transformational investment in AI, data science, and machine learning has added 12 new CS faculty members—so far.
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Keeping up with state-of-the-art and industry
From working on real-time delivery of precision healthcare to identifying structural changes in billion-node networks to helping food banks operate more effectively to everything in between, the Data Science group at Johns Hopkins is at the forefront of the field.
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The Hopkins network
Join us and you’ll be part of a worldwide network of alumni who are committed to your professional success.
About our program
Broad expertise
Our faculty are among the world’s leading experts in data science and its applications in fields ranging from human language technology and renewable energy to disease diagnosis and treatment.
Research with global impact
Work with leading faculty in the Data Science and AI Institute, Center for Language and Speech Processing, and the Malone Center for Engineering in Healthcare
Academic excellence
Johns Hopkins Engineering is No.13 overall in U.S. News & World Report’s 2025 – 2026 graduate program rankings
Program options
Depending on your career goals, choose an academic (course-only) track or a research track with a year-long capstone project with a faculty mentor, depending on your interests and career goals.
The Hopkins network
Join us and you’ll be part of a worldwide network of alumni who are committed to your professional success.
“In my computer vision class, we used machine learning to predict whether a suture had been correctly inserted into an artery, and that’s going to be used in a research project here at Hopkins.”
— Isabel Dinan, Data Science master’s student
The Data Science MSE student experience
Faculty
Meet the faculty teaching and mentoring our students and leading advances in the field Meet our facultyOutcomes-oriented
Graduates of our program are equipped to lead in one of the world’s fastest growing business sectors and benefit from the deep connections they make—with faculty, alumni, and industry—across Johns Hopkins’ global network.
According to the Bureau of Labor Statistics, data scientist is the fastest growing professional sector, with nearly 42% job growth expected from 2023 to 2033.
Our graduates are entrepreneurs and are working for a large tech companies as well as in fields including software, management consulting, financial services, national security, and sustainable energy.
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Program Requirements
- Orientation sessions starting 2 weeks before the first day of classes.
- EN.553.636 Introduction to Data Science.
- One course in each of the four Core Areas. Courses chosen in this section must be distinct from the courses used to satisfy the 5 additional course requirements.
- Four elective courses. Courses may be chosen from the Electives section or the Core Areas section, provided courses are not double-counted.
- Data Science Capstone Experience (6 credit course), poster presentation and final paper.
- WSE Required mini-courses (Academic Ethics, Responsible Conduct of Research).
- Data Science Ethics course.
- Orientation sessions starting 2 weeks before the first day of classes.
- EN.553.636 Introduction to Data Science -OR- EN.601.675 Machine Learning. Must be taken the first semester.
- One course in each of the four (4) Core Areas. Courses chosen in this section must be distinct from the courses used to satisfy the electives requirements.
- Three (3) elective courses. Courses may be chosen from the Electives section or the Core Areas section, provided courses are not double-counted.
- Data Science Capstone Experience*. Six (6) credit course which may be taken in two semesters of 3 credits each.
- WSE Required mini-courses (Academic Ethics, Responsible Conduct of Research).
- Data Science Ethics course.
- Orientation sessions starting 2 weeks before the first day of classes.
- EN.553.636 Introduction to Data Science OR EN.601.675. Must be taken the first semester.
- One course in each of the four (4) Core Areas. Courses chosen in this section must be distinct from the courses used to satisfy the 5 electives requirements.
- Five (5) elective courses. Courses may be chosen from the Electives section or the Core Areas section, provided courses are not double-counted.
- WSE Required mini-courses (Academic Ethics, Responsible Conduct of Research)
- Data Science Ethics course.
Imagine yourself here
Baltimore has so much to offer. From vibrant and diverse neighborhoods with affordable housing, a farmers' market, excellent restaurants and the Baltimore Museum of Art just blocks from campus to professional sports teams, a rich history and a lively culture scene, make Baltimore a great place to call home.
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Get the information you need about our application process and financial aid, or get your application started today!
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