Johns Hopkins University
MS in Artificial Intelligence
Last reviewed June 2026 by the AI Graduate editorial team. Program data is compiled and verified from official university sources — see our methodology.
How this program compares
At an estimated $54.5K in total tuition, the MS in Artificial Intelligence sits about 29% above the $42.4K average for AI master's programs in our database — placing it in the 73rd percentile on cost among the 531 we track at this level. It is one of the 57% 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.
Why students choose it: Research-grade AI with distinctive strengths in healthcare, defense, and applied systems.
Career Outcomes
Thrive as AI Engineer in Cross-Industry AI with machine learning expertise
- 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
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.
Application Materials
- Statement of Purpose: Required
- Letters of Recommendation: 2–3
- Resume: Required
- Transcripts: Official transcripts required
Academic Requirements
- Degree Required: Bachelor's degree
- GRE/GMAT: Optional
- TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)
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