The Data Science for Social Good Fellowship (DSSG) is a hands-on and project-based summer program that launched in 2013 at the University of Chicago and has now expanded to multiple locations globally. It brings data science fellows from across the world to work on machine learning, artificial intelligence, and data science projects that have a social impact. From a pool of typically over 800 applicants, 20-40 fellows are selected from diverse computational and quantitative disciplines including computer science, statistics, math, engineering, sociology, economics, and public policy backgrounds.

The fellows work in small, cross-disciplinary teams on social good projects spanning education, health, energy, transportation, criminal justice, social services, economic development and international development in collaboration with global government agencies and non-profits. This work is done under close and hands-on mentorship from full-time, dedicated data science mentors as well as dedicated project managers, with industry experience. The result is highly trained fellows, improved data science capacity of the social good organization, and a high quality data science project that is ready for field trial and implementation, delivered at the end of the program.

In addition to hands-on project-based training, the summer program also consists of workshops, tutorials, and discussion groups based on our data science for social good curriculum designed to train the fellows in doing practical data science and artificial intelligence for social impact.

Gain hands-on, advanced skills that you can apply on the job from day one. Practice and hone cybersecurity competencies by training on the industry’s top tools and software.

With the Certificate Program in Data Science, you gain the skills to perform advanced data wrangling, data mining, statistical modeling and machine learning on data sets that may be very large and complex.

The Certificate of Achievement in Data Science will provide students with a solid foundation in the fields of data science, business intelligence, and analytics. The program is designed to prepare students for entry-level jobs, or to help them advance into careers, such as Associate Data Scientist, Junior Data Scientist, Modeling and Simulation Specialist, Modeling and Simulation Analyst, Big Data Analyst, and Senior Data Analyst.

The world of Cybersecurity is an exciting career possibility—and, at CWI, you have an opportunity to join the front-line combating hackers who are compromising networks around the world. The goal of this program is to prepare security professionals to protect an organization’s data by taking preemptive measures against malicious attacks and to perform forensic investigations if security is breached.

CWI offers you the opportunity to take classes both in the daytime and evening along with an accelerated option. Contact your advisor for details.

Information technology professionals are held to a higher standard than many professionals, which is why many employers require a background check before hiring any new IT personnel. A felony or misdemeanor still appearing on a background check can become a severe barrier to working as an IT professional at a government or private organization.