University of Houston Cullen College of Engineering 37 courses
Colleges > Cullen College of Engineering > Engineering Data Science, Certificate Data science is all around us. Major examples are Google, Uber, Amazon, Walmart, Facebook, YouTube and a host of others. Virtually all aspects of contemporary life already are or soon will be affected by it: air and terrestrial transport, pattern detection and image analysis, personalized medicine, material testing, pollutant concentration and modeling, business intelligence, marketing and customer service, logistics, self-driving cars to name a few examples. Far from being a technology useful in restricted areas, data science offers tools that are impacting the entire structure of modern society. World-wide many companies - large and small - have made major investments in data science and are hiring personnel with some degree of data science expertise at a clip. Many thousands of positions are open and many more will become available in the future. The job market is totally tilted in favor of sellers: there are not enough people with the required preparation and the few available easily change jobs to pursue a higher salary. In this exciting atmosphere, a certificate combining one of the engineering disciplines with basic data science tools and concepts is a winning springboard from which to launch an interesting and profitable career.
Group A
| Code | Course Title | Credits |
|---|---|---|
| MATH 6382 | Probability | 3 |
| MATH 6383 | Statistics I | 3 |
| MATH 6358 | Probability Models and Statistical Computing | 3 |
| MATH 6380 | Programming Foundation for Data Analytics | 3 |
Group B
| Code | Course Title | Credits |
|---|---|---|
| COSC 6335 | Data Mining | 3 |
| COSC 6336 | Natural Language Processing | 3 |
| COSC 6339 | Big Data | 3 |
| COSC 6380 | Digital Image Processing | 3 |
Additional Courses
Additional courses deemed suitable by the Mathematics and Computer Science Departments may be added to each list once they have been approved. A non-exhaustive list of data-science-oriented engineering courses is as follows: Topic(s): GPU Programming. Sparse Representations in Signal Processing. High Performance Computing. Engineering Analytics. Data Analysis Methods. Big Data and Analytics for Petroleum Engineers. Application of Data Analytics to Petroleum Engineering. Guide to Engineering Data Science. Real-Time Data Processing.
Click a course code or title to read the full course description.
Our subject experts help with essays, research papers, case studies, discussion posts, and capstone projects for these programs β written from scratch to your course requirements.
Program and course information is reproduced from each university's published academic catalog for informational purposes and may change. Always confirm current requirements with your university. We are an independent academic support service and are not affiliated with or endorsed by the universities listed.
Expert guides on essay writing, citation styles, study skills, and academic success.
View All Articles
Learn how to write a good research question for a paper. Narrow your topic, identify a research problem, and create a focused question with practical examples.
Learn how to choose a research topic you can actually research. Discover how to narrow broad ideas, find reliable sources, and develop a focused research question.
Learn how to cite sources in a research paper using APA, MLA, and Chicago styles, with in-text citation examples and reference-list tips.