School of Health Innovation & AI · Career Track

AI-Driven Drug Discovery Scientist

A senior-level track (9-12 months) preparing you for AI-driven drug discovery roles, spanning AI/ML fundamentals, predictive modeling, data science, large language models in pharma, and AI governance. Completing the track earns the AI in Pharma Certificate.

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Duration

9–12 months

Courses

8 Courses

Certificate

AI in Pharma Certificate

School

School of Health Innovation & AI

TRACK LEARNING PATH

Your Course Roadmap

AIP-101

AI/ML Fundamentals for Drug Discovery

AIP-102

Predictive Modeling and Machine Learning

AIP-103

Data Science and Statistical Analysis

AIP-104

Large Language Models (LLMs) in Pharma

AIP-201

Advanced AI Applications in Drug Development

AIP-202

AI Governance and Regulatory Compliance

AIP-301

Real-World Evidence Analytics

BUS-201

Advanced Portfolio Strategy

8 courses in sequence · leading to the AI in Pharma Certificate

CERTIFICATE EARNED

Certificate: AI in Pharma Certificate

Duration

9–12 months

Credits

8 Courses

Tuition Band

$3,500–$4,500

Awarded By

School of Health Innovation & AI

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CURRICULUM DOMAINS

Domains Covered in This Track

WHAT YOU WILL MASTER

Skills You Will Gain

AI/ML for drug discovery Predictive modeling Data science & statistics Large language models in pharma AI governance & regulatory compliance Real-world evidence analytics Portfolio strategy

LEARNING OUTCOMES

By the End of This Track, You Can…

01Apply machine-learning models to target identification and lead optimization

02Build statistically sound data pipelines for discovery programs

03Deploy LLM-based tools responsibly inside pharma workflows

04Design AI governance that satisfies emerging regulatory expectations

05Turn real-world evidence into decision-grade analytics

Ready to Become an AI-Driven Drug Discovery Scientist?

Your track. Your courses. Your certificate. UTB makes the path clear — from day one.

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