68 Master's degrees in Data Science & Big Data in California, United States

SQL is one of the most versatile tools available for extracting insights from stored data. Learn how to execute core SQL commands to define, select, manipulate, control access, aggregate, and join data and data tables. The Introduction to SQL program is offered by Udacity.

The Master of Science in Healthcare Data Science (Hons) at the University of Southern California is a comprehensive programme designed to equip students with essential skills in data science and healthcare. This degree spans a duration of two academic years and is offered in a full-time format, enabling students to gain in-depth knowledge and practical experience in this vital field.

The Master of Science in Applied Economics and Econometrics at the University of Southern California offers advanced training in economic tools and their practical applications. This programme typically spans a duration of 32 units, delivered in a full-time format, ensuring a comprehensive understanding of economic analysis and forecasting.

Learn in-demand data science skills and how to apply them to real-world problems with the online Master of Applied Data Science degree offered by Coursera in partnership with the University of Michigan.

The Master of Science in Applied Data Science program trains you in strategic analysis, leveraging Claremont Graduate University (CGU) world-class expertise and scholarship in the latest computational, behavioral, visualization, and data-driven decision-making techniques for both public and private sectors

The Master of Advanced Study (MAS) in Data Science and Engineering at the University of California, San Diego combines the skills of a software programmer, database manager, and statistician to create mathematical models of the data, identify trends/deviations, then present them in effective visual ways that can be understood by others.

The Master of Data Science Master offered by Coursera in partnership with University of Colorado Boulder is ideal for learners who want to do more than build models; it prepares you to translate data into strategic insights and drive real-world impact.

The Master of Science in Communication Data Science (Hons) at the University of Southern California is a unique cross-disciplinary programme. This STEM-designated degree combines communication theory with data science skills, preparing students for a variety of roles. The programme typically requires 32 units of coursework and is available for full-time study.

The Statistics - Data Science programme at California State University East Bay is flexible in order to serve the needs of students with varying backgrounds (including statistics, mathematics, computer science, engineering, business, economics and other quantitative fields) and with different career objectives. 

The Education Data Science programme at Stanford University is a two-year, full-time residential Master of Science. This advanced course integrates computer science and statistics with social science theory to improve learning outcomes. Students engage in original research and internships to prepare for leadership in the sector.

The M.Sc. in Environmental Data Science at the University of Southern California is designed for those seeking to integrate data science with environmental studies. This programme can be completed in three to four semesters, depending on course load, and is offered in a flexible format to accommodate various learning preferences.

The University of California, Los Angeles (UCLA) offers a Master of Science in Engineering with a Certificate of Specialization in Data Science Engineering. This part-time online programme enables students to complete their degree in just over two years while balancing professional commitments, making it ideal for working individuals seeking advanced education in data science.

This Building Generative AI Solutions with Vector Databases lesson at Udacity covers vector databases, crucial for enhancing AI's long-term memory. Topics include core concepts, retrieval methods, and advanced indexing.

SQL is one of the most versatile tools available for extracting insights from stored data. In this course, you will learn how databases work. The SQL Fluency program is offered by Udacity.

The M.Sc. Master of Applied Statistics and Data Science at University of California, Los Angeles (UCLA) is a professional programme designed for working experts. Delivered through in-person evening sessions, this public study mode degree provides advanced quantitative training over a flexible two-year duration.

The Computational Data Science degree from University of California, Riverside focuses on the computational foundations of Data Science, providing an in-depth understanding of how large data sets can be stored, manipulated, visualized, and how to accomplish learning from such data sets.

The Data Analysis programme at the University of California, Berkeley, offers a full-time certificate (15 weeks) designed to enhance your analytical skills. This immersive course equips students with essential data management and visualisation techniques, preparing them for various roles in the data-driven job market.

The Mathematical Data Science M.S. degree at the University of Southern California is a comprehensive programme designed to equip students with essential skills in data science. This course spans four semesters and is delivered on campus, providing a rigorous academic environment for aspiring data scientists.

The Applied Data Science Graduate Certificate at the University of Southern California is a prestigious programme designed to equip students with essential skills in data science. This certificate can be pursued on a part-time basis and typically requires completion of three core courses along with one elective.

The Applied Geospatial Information Systems and Technologies programme at the University of California, Los Angeles (UCLA) is a professional online Master’s degree. This STEM-focused course offers flexible study durations of one to three years, providing advanced training in spatial data analysis and computer programming.