Master of Science [M.S] [Computational and Mathematical Engineering - Data Science] From Stanford University

The Data Science track develops strong mathematical, statistical, and computational and programming skills through the general master's core and programming requirements. In addition, it provides a fundamental data science education through general and focused electives requirement from courses in data sciences and related areas. The course work follows the requirements of the general master's degree in the core course requirement. the general and focused elective requirements are limited to predefined courses from the data sciences and related courses group. Programming requirement is extended to 6 units and includes course work in advanced scientific programming and high performance computing. The final requirement is a practical component for 6 units to be completed through capstone project, data science clinic, or other courses that have strong hands-on or practical component such as statistical consulting. Recommended background: strong foundation in mathematics with courses in linear algebra, numerical methods, probabilities, stochastics, statistical theory, and programming proficiency in C++ and r.