Graduate Stand-Alone Certificate in Data Science for the Chemical Industry
The objective of this certificate is to provide engineers in the chemical industry with knowledge of basic data science and machine learning techniques, and experience applying these techniques to specific problems in chemical engineering.
General Guidelines for Certificates:
- All courses must be taken for Letter-grade
- All courses must be completed with a grade of 'C' or higher
- Certificates requirement a minimum GPA of 2.7
| Code | Title | Credit Hours |
|---|---|---|
| Core Courses | ||
| CHBE 6745 | Data Analytics for Chemical Engineers | 3 |
| CHBE 6746 | Data-Driven Process Systems Engineering | 3 |
| Electives | 6 | |
| Introduction to Information Security | ||
| Big Data Systems and Analytics | ||
| Database Systems Concepts and Design | ||
| Temporal, Spatial and Active Databases | ||
| Parallel and Distributed Database Systems and Applications | ||
| Artificial Intelligence | ||
| Machine Learning | ||
| Computing for Data Analysis: Methods and Tools | ||
| Computational Science and Engineering Algorithms | ||
| Data and Visual Analytics | ||
| Time Series Analysis | ||
| Design and Analysis of Experiments | ||
| Statistical Modeling and Regression Analysis | ||
| Computational Statistics | ||
| Introduction to Theory and Practice of Bayesian Statistics | ||
| Intro Analytics Modeling | ||
| Simulation | ||
| Discrete Optimization | ||
| Stochastic Optimization | ||
| Computational Data Analysis: Learning, Mining, and Computation | ||
| Systems Monitoring and Prognostics | ||
| Production and Service Systems Engineering | ||
| Logistics Systems Engineering | ||
| Data Mining and Statistical Learning | ||
| Special Topics (Topics on High-Dimensional Data Analytics) | ||
| Data Analytics in Business | ||
| Special Topics in Mgt (Data Analysis for Continuous Improvement) | ||
| Information Policy and Management | ||
| Information Security Policies and Strategies | ||
| Total Credit Hours | 12 | |