University of Maryland, Baltimore

How this program compares

University of Maryland, Baltimore's MS in AI for Drug Development lists about $24.8K total tuition — roughly 42% below the $42.9K AI master's average (33rd percentile in our data). 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 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.

Graduates frequently move into roles such as Data Scientist, with reported salaries around $140,000.

Apply machine learning algorithms to predict drug-target interactions and optimize lead compounds.

At roughly $24.8K total, University of Maryland, Baltimore's MS in AI for Drug Development sits below the $42.9K average among AI master's programs we track — the 33rd percentile on price. That makes it one of the more affordable options for students weighing return on investment.

It is one of 26 AI-related programs we track in Maryland, of which about 62% offer an online option. On price, it comes in cheaper than about 68% of the Maryland programs in our data, where typical tuition runs near $50.2K.

Career Outcomes

The MS in AI for Drug Development at University of Maryland, Baltimore (Baltimore, Maryland) is oriented toward Data Scientist hiring, with alumni reporting pay near $140,000. 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 23% growth this decade — verify the current figure on the BLS Occupational Outlook Handbook before you rely on it.

• 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

Admission to University of Maryland, Baltimore's MS in AI for Drug Development 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