Johns Hopkins University

How this program compares

At an estimated $54.5K in total tuition, the MS in Artificial Intelligence sits about 27% above the $42.9K average for AI master's programs in our database — placing it in the 72nd percentile on cost among the 394 we track at this level. It is one of the 54% of programs in our database offered fully or partly online.

Admission Snapshot

Typical admitted student: A bachelor's degree in computer science, engineering, mathematics, or a related field with a minimum GPA of 3.0 is required, along with strong programming skills in Python or similar languages. GRE scores are often optional, and relevant work or research experience strengthens applications.

About This Program

Johns Hopkins' MS in Artificial Intelligence draws on the university's deep strengths in research, applied physics, and healthcare to deliver a rigorous, application-oriented AI degree. Coursework spans machine learning, deep learning, NLP, and computer vision, with opportunities to engage real-world problems through JHU's research centers.

The program is well-suited to students who want AI training grounded in domains like biomedicine, defense, and autonomous systems where Hopkins has distinctive expertise.

Career Outcomes

Johns Hopkins University positions this master track for AI Engineer careers — typical offers cluster around $120,000. Its focus on Generative AI and LLMs and Computer Vision maps directly to how employers screen for specialized skills rather than generic degrees. Federal projections for this occupational area point to roughly 23% growth this decade — verify the current figure on the BLS Occupational Outlook Handbook before you rely on it.

• 1. Machine Learning Engineer
• 2. AI Research Scientist
• 3. Data Scientist
• 4. AI Software Developer

What You'll Learn

• Design and implement machine learning models for real-world data.
• Develop deep learning architectures for image and language processing.
• Apply natural language processing techniques to text analysis and generation.
• Build AI systems using reinforcement learning and probabilistic reasoning.

Curriculum Highlights

The curriculum consists of core courses in AI algorithm design, required modules in applied machine learning, and electives in deep learning and LLMs.

Top Employers

Top employers include Google, Microsoft, Amazon, Meta, and AI research labs at companies like OpenAI and NVIDIA.

Admissions

Admission to Johns Hopkins University's MS in Artificial Intelligence generally expects a bachelor's degree. The GRE is optional here — a growing norm among AI programs — so applicants can often lead with coursework, projects and recommendations instead. Deadlines, testing policies and funding change year to year, so confirm the current requirements on the official program page before applying.

Application Materials

• Statement of Purpose: Required
• Letters of Recommendation: 2–3
• Resume: Required
• Transcripts: Official transcripts required

Frequently Asked Questions