The Convergence Research (CORE) Institute catalyzes an impact network of students, researchers, practitioners, industry leaders, and public policy professionals committed to engaging in research that is driven by societal problems and requires deep integration across disciplines and sectors to create solutions. CORE Institute workshops and training programs provide participants with a foundational experience to position them for impact throughout their careers on the most challenging issues of our time.
The Eric and Wendy Schmidt AI in Science Postdoctoral Fellowship, a program of Schmidt Sciences at UC San Diego led by Faculty Director Tara Javidi and Education Associate Director İlkay Altıntaş, leverages UC San Diego’s place at the forefront of Artificial Intelligence research to train the next generation of scientific leaders pioneering the use of AI in STEM. This prestigious program annually supports 10-20 Postdoctoral Fellows with a two-year fellowship as they learn and apply AI techniques to their research in the engineering, mathematical, and natural sciences.
Coursera's Big Data Specialization, a six-part online specialization, teaches students to unlock value in massive datasets through fundamental data methods. This course introduces participants to real-time and semi-structured data through hands-on tutorials with technologies like SparkSQL, Neo4j, AsterixDB, and more. Modules explore why so many big data systems exist, how to match tools to data types, and how to design a big data infrastructure plan. Activities are designed to equip students to recognize data opportunities in everyday scenarios and apply practical techniques to extract value from both existing and emerging data sources.
Coursera’s Python Data Products for Predictive Analytics Specialization is a four-course online specialization that prepares participants to build predictive systems with accuracy and to collect, model, and deploy data-driven systems using Python and machine learning.
Students entering the MAS program for a degree in Data Science and Engineering will undertake courses in programming, analysis, and applications management and visualization. This program requires three foundational courses and six core courses, plus a capstone team project. Courses are taught by world-class faculty from the Computer Science & Engineering Department and the San Diego Supercomputer Center.
