University of Maryland, Baltimore

How this program compares

At an estimated $24.8K in total tuition, the MS in AI for Drug Development sits roughly 42% below the $42.4K average for AI master's programs in our database — placing it in the 35th 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 a related field such as computer science, pharmaceutical sciences, biology, or engineering is required, along with a minimum GPA of 3.0 and relevant coursework in programming, statistics, or chemistry. GRE scores are optional, with preference for applicants demonstrating quantitative skills and AI or drug development experience.

About This Program

This innovative program covers the application of advanced AI and analytical techniques to streamline pharmaceutical discovery and clinical trials. Coursework concentrates on Natural Language Processing (NLP) and Machine Learning. Most students complete it in about 1 year.

Estimated total tuition is $24.8K, below the $42.4K average for AI master's programs in our database and in the 35th percentile on cost at this level. That puts it in the mid-range on price among comparable programs.

Advance as Data Scientist in Healthcare AI with machine learning expertise Graduates frequently move into roles such as Data Scientist, with reported salaries around $140,000.

Career Outcomes

Advance as Data Scientist in Healthcare AI with machine learning expertise

• 1. AI Drug Discovery Scientist
• 2. Computational Chemist
• 3. Bioinformatics Specialist
• 4. Pharmaceutical Data Scientist

What You'll Learn

• Apply machine learning algorithms to predict drug-target interactions and optimize lead compounds.
• Use AI-driven simulations for rational drug design and virtual screening of chemical libraries.
• Analyze genomic and proteomic data to identify novel therapeutic targets.
• Develop predictive models for pharmacokinetics, toxicity, and clinical trial outcomes.

Curriculum Highlights

The curriculum features modules in AI/ML fundamentals, drug development strategy, predictive modeling, and optimization of clinical research.

Top Employers

Top employers include pharmaceutical giants like Pfizer, Novartis, and Merck, as well as biotech firms such as Insitro and Recursion Pharmaceuticals.

Admissions

A bachelor's degree in a related field such as computer science, pharmaceutical sciences, biology, or engineering is required, along with a minimum GPA of 3.0 and relevant coursework in programming, statistics, or chemistry. GRE scores are optional, with preference for applicants demonstrating quantitative skills and AI or drug development experience.

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+)