Curriculum

  • CDD 201 Techniques in Drug Discovery

  • CDD 202 Python and R (NumPy, Pandas, PyTorch, Matplotlib), Web Application Development (Flask, Streamlit, Shiny)

  • CDD 203 AI and ML (Supervised, Unsupervised, Semi-supervised, Reinforcement Learning); Sub-fields of ML; Generative AI

  • CDD 204 Drug Development Regulations and Software Platforms (WinNonlin, SimCYP)

  • CDD 205 Pharmacometrics, Systems Pharmacology and Pharmacogenomics

  • CDD 206 Big Data Mining and Analysis (Real-World Data and Real-World Evidence)

  • CDD 207 Modeling for Clinical Pharmacology

  • CDD 223 Emerging technologies: Large Language Models (LLM)

  • BIOSTAT 272 Foundations in Biostatistical Principles and Methods

  • Grad Studies 214 Responsible Conduct of Research and Rigor & Reproducibility