Recommended classes to take

1) ECH 252: Statistical Thermodynamics.
2) ECH 253A: Advanced Fluid Mechanics.
3) ECH 259: Advanced Engineering Mathematics.

1) STA 206: Statistical Methods for Research 1 (R).
2) STA 209: Optimization for Big Data Analytics.
3) ECS 032B: Introduction to Data Structures (Python).
4) ECH 211A: Advanced Physical Chemistry: Statistical Thermodynamics

1) ECH 253C: Advanced Mass Transfer.
2) ECH 256: Chemical Kinetics and Reaction Engineering.

1) STA 220: Data & Web Technologies for Data Analysis (R/ Python).
2) CHE 210A: Quantum Chemistry: Introduction & Stationary-State Properties
3) PHY 140A: Introduction to Solid State Physics
4) ECS 036A: Programming & Problem Solving
5) CHE 211B: Statistical Mechanics
6) CHE 100: Environmental Water Chemistry (Feedback: Introductory computational methods course)

1) STA 221: Big Data & High Performance Statistical Computing (Python).
2) STA 208: Statistical Methods in Machine Learning.
3) EMS 285: Advanced Computational Materials Science (Python).
4) CHE 210B: Quantum Chemistry: Time-Dependent Systems
5) CHE 210C: Quantum Chemistry: Molecular Spectroscopy