MD

Master's in AI
On-Campus, Online, Hybrid

Johns Hopkins University | MS in Artificial Intelligence

  • Online
About This Program

Designed for working professionals, this program offers a comprehensive study of artificial intelligence, focusing on the development and application of intelligent systems across various technological and industrial sectors.

Student Reviews
What You'll Learn

Students master machine learning, natural language processing, and neural network development. They gain the skills needed to design AI-enabled systems and interpret complex datasets for meaningful decision-making.

For detailed, official program information including specific curriculum, faculty, research opportunities, and application requirements:
Typical Curriculum Structure
The structure consists of ten courses, including core requirements in algorithm design and applied machine learning, with elective focus areas in deep learning, robotics, and large language models.
Typical Course Topics
1. Machine Learning Theory and Algorithms 2. Deep Neural Networks and Deep Learning 3. Natural Language Processing (NLP) 4. Computer Vision and Image Analysis 5. Reinforcement Learning and Automated Reasoning 6. Data Mining and Advanced Data Analysis
Program Specializations:
Generative AI and LLMs
Deep Learning
View the exact, up-to-date curriculum on the official program website
Typical Admissions Requirements
Applicants typically need a bachelor's degree with strong foundational programming skills in languages such as Python, C++, or Java. Experience with machine learning frameworks like TensorFlow or PyTorch is beneficial, though not always required.
Academic Requirements (Typical)

β€’ Degree Required: Bachelor’s degree in computer science, mathematics, engineering, or related field
β€’ GRE/GMAT: Required (field-dependent; check program specifics)
β€’ TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)

Application Materials (Typical)

β€’ Statement of Purpose: Required
β€’ Letters of Recommendation: 2–3
β€’ Resume: Required
β€’ Transcripts: Official transcripts required

Application Timeline

Most programs have rolling admissions or deadlines in early winter for fall admission. Check the official program website for exact dates.

Career Opportunities in AI

Lead as AI Engineer in Cross-Industry AI with machine learning expertise

Estimated Industry Salary
Artificial Intelligence / Machine Learning Engineer: $120,000 AI Research Scientist: $125,000 Data Scientist (AI-focused): $115,000 AI Solutions Architect: $130,000
Total compensation (entry to mid-level)
AI Job Growth
21.0%
Projected 2024-2034 (BLS)
Common Career Paths:
1. Machine Learning Engineer 2. AI Research Scientist 3. Data Scientist 4. AI Solutions Architect
Top AI Employers (Industry-Wide):
Top employers in artificial intelligence include Google, Microsoft, OpenAI, Meta, Amazon, IBM, and major technology and consulting firms specializing in AI development and deployment.
Program Details
Duration
  • 1.5 Year
Tuition
  • 91,500
Format
On-Campus, Online, Hybrid
Specializations
Generative AI and LLMs
Deep Learning