The data science certificate programs are designed for college graduates and professionals seeking entry into this emerging field.
The Post-Baccalaureate Certificate in Data Science – Computer Science,12 credits, focuses on data science concepts within computer science. It helps students develop essential skills, including (1) deriving predictive insights by applying advanced statistics, modeling, and programming skills, (2) acquiring in-depth knowledge of machine learning and computational techniques, and (3) unearthing important questions and intelligence for a range of industries, from product design to finance.
The 12-credit Post-Baccalaureate Certificate in Data Science – Foundations provides an introduction to foundational concepts in statistics and computer science as well as applying methods to analyze data. Students will gain a perspective on the kinds of problems that can be solved by data-intensive methods.
The Graduate Certificate in Data Science – Earth Resources, 12 credits, builds on the foundational concepts in data science as it pertains to managing surface and subsurface Earth resources and on specific applications from the petroleum and minerals industries as well as water resource monitoring and remote sensing of Earth change.
The Graduate Certificate in Petroleum Data Analytics, 12 credits, is focused on the data foundation of the oil and gas industry, the challenges of Big Data to oilfield operations and on specific applications for petroleum analytics.
The Graduate Certificate in Data Science – Statistical Learning, 12 credits, covers statistical methods for interpreting complex data sets and quantifying the uncertainty in a data analytics. The program helps students gain new skills in computer science but is grounded in statistical models for data rather than algorithmic approaches.
The Graduate Certificate in Data Science – Signals and Systems, 12 credits, trains recent graduates or mid-career professionals with a bachelor's degree in electrical engineering or a related field in mathematical and algorithmic aspects of data science relevant to handling the signals and data processed and generated by modern physical and electrical systems.
The Master of Science in Data Science program gives students a foundation in statistics and computer science as well as the knowledge to apply these skills to a particular science or engineering discipline. The program follows a 3 X 3 + 1 design: three modules, each consisting of three 3-credit courses in a particular aspect of data science (data modeling and statistical learning; machine learning, data processing and algorithms and parallel computation; individualized and domain-specific coursework), plus a mini-module of three 1-credit professional development courses.

