Why Choose to Study in D.C.?
The Johns Hopkins Bloomberg Center in the capital city puts you right in the midst of artificial intelligence in action. Taught by top researchers, scientists, and engineers in the field, the Johns Hopkins Engineering master’s in AI offers a curriculum that keeps pace with and anticipates the future of AI.
With a small cohort of learners, students learn together in person, collaborate daily with classmates, engage directly with faculty, and build professional networks in one of the world’s leading technology and government hubs.
This technical hub in Washington, D.C. offers ample opportunity to engage with leaders across the engineering spectrum:
- Federal AI ecosystem
- Fortune 500 employers
- National labs
- Defense and cybersecurity
- Healthcare innovation
- Technology startups
Launch Your AI Career in Just 16 Months!
Complete your master’s degree in just 16 months and begin applying advanced AI skills sooner. The Washington, D.C. in-person, full-time master’s cohort offers an accelerated timeline and a faster path toward high-demand careers in machine learning, generative AI, robotics, computer vision, and data science.
Powered by Johns Hopkins AI Leadership
As a master's student at Johns Hopkins, you will learn in a university-wide AI ecosystem where research, education, and real-world impact come together to advance trustworthy AI and solve society's most pressing challenges.
The Johns Hopkins Engineering Difference
The Washington, D.C. AI master’s program delivers the future-focused curriculum, distinguished faculty, and industry-informed education that define Johns Hopkins Engineering. Learn from experts across Johns Hopkins Engineering, the Applied Physics Laboratory, and industry—all while benefiting from an immersive, full-time, on-campus experience.
Complete your degree in just 18 months and enter the workforce with the technical skills and leadership capabilities employers are seeking.
Prepare for High-Demand AI Careers
Globally, there is tremendous growth and opportunity for careers in AI, with 42% higher wage growth. A master’s degree in AI is one of the best ways you can catch the attention of employers and secure a leadership role that requires advanced skills in machine learning, large language models, and computer robotics.
Whether you are looking to change careers or deepen your knowledge in AI, a master’s degree from Johns Hopkins can help open doors. Professionals in AI have high-paying jobs, with an average of salary of $145,000 to $160,000. Check out this blog on the Impact of AI on the Engineering Field to see yourself as part of the future of AI.
Be prepared to secure a well-compensated career opportunity:
- AI Architect
- Machine Learning Engineer
- Robotics Engineer
- Data Scientist
- NLP Engineer
- Computer Vision Engineer
AI in DC and Traditional Master’s Comparison
Studying artificial intelligence full-time, in-person at our Bloomberg Center campus has distinct differences and advantages:
| Traditional AI Master’s | Johns Hopkins AI in DC |
| Possible competing priorities | Full-time immersive experience |
| Usually 2.5+ years to complete | Complete in 16 months |
| Online or hybrid | In-person in Washington, D.C. |
| Faculty can vary | Researchers, industry leaders, and JHU Applied Physics lab experts |
| Experience based on campus location | Access to the D.C. innovation ecosystem |
Apply Now
Start your journey to your engineering master's in artificial intelligence with a few easy steps. There is no application fee and no GRE required.
Core and Elective Course Options
A select group of core and elective courses are offered for in-person studies. Students who enter for the fall 2027 term will follow the curriculum below:
Fall 2027
| Core | EN.705.611 | Advanced Analytical Methods in AI |
| Core | EN.705.623 | AI Algorithm Design and Analysis |
| Core | EN.705.601 | Applied Machine Learning |
Spring 2028
| Core | EN.705.603 | Creating AI Enabled Systems |
| Core | EN.705.605 | Intro to Generative AI |
| Elective | EN.695.715 | Assured Autonomy |
| Elective | EN.705.651 | Large Language Models: Theory and Practice |
Fall 2029
| Elective | EN.605.745 | Reasoning Under Certainty |
| Elective | EN.705.643 | Deep Learning Developments with PyTorch |
| Elective | EN.635.603 | AI/ML Ops |
Tuition and Fees
2026-2027 Full-Time Cost of Attendance
Cost of attendance is an estimate of a student’s expenses based on federally established guidelines. This includes the direct cost of a matriculation fee, indirect cost estimations based on student survey data of living, and other expenses that do not appear on a bill. Actual costs may differ.
Special Dean’s Tuition Fellowship for the Academic Year 2026-2027
For students matriculating in the Fall 2026 semester, we anticipate offering a standard 10% tuition fellowship for all students per semester, with the opportunity to receive additional aid based on demonstrated financial need. This would deduct from the tuition listed below.
| Direct Costs (Billed by Johns Hopkins) | |
| Tuition (Full-time, Resident: Fall and Spring semesters total) | $68,680 |
| Matriculation Fee (one-time fee) | $500 |
| Health Insurance (approximate cost) | $3,292 |
| Total Direct Costs | $72,472 |
| Indirect Costs (Estimated, Not Billed by Johns Hopkins) | |
| Living Expenses (12 months), Housing (Off-Campus) | $20,000 |
| Living Expenses, Food (Off-Campus) | $5,796 |
| Miscellaneous Personal Expenses | $5,220 |
| Books, Course Materials, Supplies, and Equipment | $1,589 |
| Transportation (Average, including UPass) | $1,333 |
| UPass (WMATA) U-Fee | $236 |
| Total Indirect Costs | $34,174 |
| Total Cost of Attendance | $106,646 |
- Except for tuition and the matriculation fee, costs are estimates and may vary based on individual lifestyle and housing choices. Tuition and health insurance generally increase by 2-3% annually. Federal loan fees have not yet been determined for the Academic Year 2026-2027 and will be posted as soon as they are confirmed.
- Average Federal Direct loan fees are added to the student budget when a student accepts a Federal Direct loan.
- If you are a student living in housing on a military base or for which you receive a basic allowance under section 403(b) of title 37 of the United States Code, please contact SEAM to discuss how this may affect your cost of attendance.