Graduate Certificate in Data Analytics Engineering
Data science is an interdisciplinary area of scientific processes, methods, systems, and algorithms to obtain knowledge or insights from data. Data engineers design, manage, and optimize the flow of data within an organization. The Graduate Certificate in Data Analytics Engineering will prepare students and professionals to understand the fundamentals and advanced skills in data analytics engineering. It enables the graduating students to address the growing need for data engineering and data science professionals who are trained in advanced data analytics and can collect, process, and transform large streams of data into understandable and actionable information for the purpose of making decisions.
Requirements
The certificate is a 12 credit hour program.
| Required Courses | ||
| CMP_SC 7380 | Database Management Systems I | 3 |
| CMP_SC 8370 | Data Mining and Knowledge Discovery | 3 |
| Electives (select two courses) | ||
| CMP_SC 7350 | Big Data Analytics | 3 |
| CMP_SC 7530 | Cloud Computing | 3 |
| CMP_SC 7650 | Digital Image Processing | 3 |
| or ECE 7655 | Digital Image Processing | |
| CMP_SC 7720 | Introduction to Machine Learning and Pattern Recognition | 3 |
| or ECE 7720 | Introduction to Machine Learning and Pattern Recognition | |
| CMP_SC 8530 | Cloud Computing II | 3 |
| CMP_SC 8630 | Data Visualization | 3 |
| CMP_SC 8650 | Advanced Image Processing | 3 |
| CMP_SC 8690 | Computer Vision | 3 |
| CMP_SC 8725 | Supervised Learning | 3 |
| or ECE 8725 | Supervised Learning | |
| CMP_SC 8735 | Unsupervised Learning | 3 |
| or ECE 8735 | Unsupervised Learning | |
| CMP_SC 8740 | Advanced Natural Language Processing | 3 |
| CMP_SC 8790 | Filtering, Tracking and Data Fusion | 3 |
| ECE 8810 | Advanced Digital Signal Processing | 3 |
| CMP_SC 8870 | Modeling and Management of Uncertainty | 3 |
| CMP_SC 8860 | Parallel and Distributed Processing | 3 |
| ECE 8860 | Probability and Stochastic Processes for Engineers | 3 |