Program Overview

Introduction to the Certificate in Engineering Data Science and AI

Data science is poised to play a vital role in research and innovation in the 21st century. The field of Engineering Data Science and AI encompasses predictive modeling and data-driven design of engineering systems, with applications ranging from health sciences and environmental sciences to materials science, manufacturing, image processing, intelligent systems, and cybersecurity.

Program Overview

The Graduate Certificate in Engineering Data Science and AI is a five-course program that combines basic data science knowledge with discipline-specific engineering courses. This program is designed to provide state-of-the-art training for a data-centric workforce.

Audience

The Certificate program is suitable for:

• Graduate students in various engineering departments
• Industry practitioners who wish to obtain knowledge and proficiency in this exciting new field

Application

The certificate program is open to:

• Students who are already enrolled or plan to enroll in a MS or PhD program at the University of Houston
• Individuals who plan to enroll only in this certificate program

Application Options

• Option A: Students currently enrolled or planning to enroll in an MS or PhD program at the University of Houston can add the program as a concurrent certificate objective.
• Option B: Individuals planning to enroll only in this certificate program must submit an online application, official transcripts, and unofficial transcripts.

Admissions

• Students pursuing an MS or PhD degree have already been admitted to the University of Houston and will be enrolled in the Certificate program upon request.
• Applications from prospective students interested in the Certificate only will be evaluated by the Data Science Institute, following existing university rules as detailed in the Graduate Catalog.

Curriculum

The program consists of five courses, with three foundational data science courses chosen from two groups:

GROUP A

• EDS 6333 Probability and Statistics for Data Science OR INDE 6333 Probability and Statistics
• INDE 6372 Advanced Linear Optimization
• EDS 6340 Introduction to Data Science

GROUP B

• ECE 6342 Introduction to Machine Learning OR equivalent
• EDS 6352 Natural Language Processing
• EDS 6346 Data Mining
• EDS 6397 Digital Image Processing

The remaining two courses are to be chosen from any of the courses listed on the EDS website, with a minimum of one course taken from each group.

Conclusion

The Graduate Certificate in Engineering Data Science and AI is a comprehensive program designed to equip students with the necessary skills and knowledge to succeed in this exciting field. With its rigorous curriculum and flexible application options, this program is an excellent choice for graduate students and industry practitioners alike.