George Washington University

How this program compares

At an estimated $6.5K in total tuition, the Elective: Artificial Intelligence in Medicine sits roughly 41% below the $11.0K average for AI certificate programs in our database — placing it in the 31st percentile on cost among the 180 we track at this level. It runs on a part-time schedule (on-campus).

Admission Snapshot

Typical admitted student: Prerequisites typically include a bachelor's degree in a STEM or health-related field, foundational knowledge in programming and statistics, and completion of introductory machine learning or AI courses. Competitive programs may require relevant clinical or research experience.

About This Program

This medical elective introduces future physicians to the evolving role of artificial intelligence in clinical care, medical research, and healthcare innovation. Coursework concentrates on Natural Language Processing (NLP) and Machine Learning. Most students complete it in about 0.04 years.

It is one of 15 AI-related programs we track in District of Columbia, of which about 60% offer an online option. On price, it comes in cheaper than about 93% of the District of Columbia programs in our data, where typical tuition runs near $83.4K.

Graduates frequently move into roles such as Data Scientist, with reported salaries around $130,000.

Develop AI models for medical image analysis and diagnosis.

At roughly $6.5K total, George Washington University's Elective: Artificial Intelligence in Medicine sits below the $11.0K average among AI certificate programs we track — the 31st percentile on price. That makes it one of the more affordable options for students weighing return on investment.

Career Outcomes

The Elective: Artificial Intelligence in Medicine at George Washington University (Washington, District of Columbia) is oriented toward Data Scientist hiring, with alumni reporting pay near $130,000. Its focus on Natural Language Processing (NLP) and Machine Learning maps directly to how employers in healthcare ai screen for specialized skills rather than generic degrees. Federal projections for this occupational area point to roughly 35% growth this decade — verify the current figure on the BLS Occupational Outlook Handbook before you rely on it.

• 1. AI Healthcare Data Scientist
• 2. Clinical AI Researcher
• 3. Medical Imaging AI Specialist
• 4. Health Informatics AI Developer

What You'll Learn

• Develop AI models for medical image analysis and diagnosis
• Apply machine learning to predict disease progression and treatment responses
• Analyze electronic health records using natural language processing
• Evaluate ethical considerations in AI-driven clinical decision support

Curriculum Highlights

The course involves case studies and discussions on machine learning, natural language processing, and predictive modeling applications in clinical operations and patient education.

Top Employers

Top employers include major hospital systems like Mayo Clinic, pharmaceutical companies such as Pfizer, tech firms like Google Health, and government agencies like NIH.

Admissions

Admission to George Washington University's Elective: Artificial Intelligence in Medicine generally expects a bachelor's degree. The GRE is not required 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