University of Tampa Bay (UTB) — Pharmaceutical Education Reimagined · Est. February 2026
University of Tampa Bay University of Tampa Bay4i · Industry Integrated
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Health-Tech & AI · Domain 09

Artificial Intelligence in Pharma

Drug discovery AI, ML models, LLMs, governance frameworks

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Courses
8 Courses
Category
Health-Tech & AI
3 Levels
Foundation / Advanced / Leadership
ABOUT THIS DOMAIN

Inside Artificial Intelligence in Pharma

The Artificial Intelligence in Pharma domain covers drug discovery AI, ML models, LLMs, and governance frameworks — the disciplines turning data into faster, smarter pharmaceutical innovation. Its 8 courses climb three levels: Foundation courses (1xx) build core fluency, Advanced courses (2xx) deepen technical mastery, and Leadership courses (3xx) prepare you to set AI strategy. Take individual courses or combine them within a career track.

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Who It's For
Professionals applying AI, machine learning, and data science to drug discovery and pharmaceutical development
DOMAIN CURRICULUM

Courses in This Domain

Foundation · 1xxBuild the fundamentals
01
AIP-101
AI/ML Fundamentals for Drug Discovery
02
AIP-102
Predictive Modeling and Machine Learning
03
AIP-103
Data Science and Statistical Analysis
04
AIP-104
Large Language Models (LLMs) in Pharma
Advanced · 2xxDeepen technical mastery
05
AIP-201
Advanced AI Applications in Drug Development
06
AIP-202
AI Governance and Regulatory Compliance
Leadership · 3xxLead AI strategy
07
AIP-301
Real-World Evidence Analytics
08
AIP-302
Emerging AI Technologies in Pharma

8 courses · Foundation through Leadership · Health-Tech & AI domain

CAREER OPPORTUNITIES

Where This Domain Takes You

AI is rewriting drug discovery and development. This domain prepares data-fluent scientists and the AI governance leads pharma now hires — and pairs with engineering domains for smart-manufacturing careers.

CAREER TRACKS

Career Tracks Using This Domain

Senior · 9–12 months · 7 Courses From This Domain
AI-Driven Drug Discovery Scientist
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Senior · 9–12 months · 3 Courses From This Domain
Pharma 4.0 & Smart Manufacturing Engineer
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RELEVANT JOB ROLES

Job Roles Built on This Domain

Research Scientist — Research & Development → Operations Supervisor — Manufacturing & Operations → Operations Manager — Manufacturing & Operations → VP Operations — Leadership & Executive → Chief Operations Officer — Leadership & Executive →
WHAT YOU WILL MASTER

Skills You Will Gain

AI/ML for drug discovery Predictive modeling Data science & statistics LLMs in pharma AI governance Real-world evidence analytics
LEARNING OUTCOMES

By the End of This Domain, You Can…

01Apply machine learning across the discovery pipeline
02Build and validate predictive models on pharma data
03Deploy LLM tools responsibly in regulated workflows
04Design AI governance frameworks that satisfy regulators

Start Your Artificial Intelligence in Pharma Journey

Eight courses. Three levels. One domain at the frontier of AI-driven drug development.

Apply Now → View Tuition