Data Science
Bachelor of Science
Jarvis College of Computing and Digital Media
Programs of Interest
0The Bachelor of Science in Data Science is designed to meet the growing demand for data scientists and data analysts with deep analytical and technical skills who can analyze massive amounts of data and extract information from complex data sources.
Data scientists need expertise in the three core areas: computer science, mathematics, and information management. They also need good critical thinking and effective communication skills. Our interdisciplinary undergraduate curriculum emphasizes the core areas of data science, including courses in programming, math, statistical modeling, machine learning, and data management. Students learn all the aspects of the data science process from data collection and data understanding to model building, and model validation, and develop communication and critical thinking skills through real world applications.
For international students: this is a STEM-designated program, which can qualify you to extend your post-graduation stay in the United States.
Common Careers in Data Science
- Data Scientist
- Data Engineer
- Data Analyst
Companies hiring from our program include Amazon, Facebook, Google, Groupon, CVS, and Deloitte to name just a few.
Studying in Chicago
Our school is centrally located in the Loop, Chicago’s business district. Students have access to a growing and vibrant data science community and can take advantage of the myriad of events in data science that occur in Chicago, such as Meetups, data hackathons, and workshops.
Faculty
The Laboratory for Interactive Human-Computer Analytics (LIHCA) at DePaul studies principally Human-in-the-Loop analytics (sometimes called Interactive Machine Learning or Human-Centered Machine Learning), a new field in understanding data by leveraging machine learning and interactive visualization simultaneously. Faculty and students in the lab integrate these two types of tools, studying the types of visualization and interaction that can be fruitful for gathering human insight, the types of machine learning algorithm used to take advantage of them, and the implications of this technology for disparate application domains like bioinformatics, medical informatics, journalism, and urban communities.