Bachelor of Science in Data Science

About

The Saint Louis University Bachelor of Science in Data Science is an interdisciplinary program supported by the Department of Computer Science and the Department of Mathematics and Statistics. SLU's curriculum is modeled upon guidelines for undergraduate programs in data science as endorsed by the American Statistical Association's Board of Directors. Classes are small and are taught by enthusiastic instructors. The B.S. in data science is among the most rigorous degrees offered at SLU. This program combines carefully selected computer science, statistics and mathematics courses with four semesters of practica and capstone experiences. The result is an education rooted in the fundamentals that also provides hands-on experience with cleaning, visualizing, analyzing and reporting on data. Students choose electives within the major to specialize in the computer science or statistical aspects of data science. Faculty in the data science program do research in machine learning, natural language processing, time series, topological data analysis, and in other areas of statistics, computer science and mathematics. There are multiple research, internship and consulting opportunities for students in the data science program. Past students have done cross-disciplinary work with ArchCity Defenders, the Department of Sociology, the Department of Linguistics, Literatures, and Cultures, the Department of English and the Medical School Liver Center, while others have done work in data science itself, doing research with faculty within the Department of Mathematics and Statistics, the Department of Computer Science, and the Lincoln Lab at MIT, among others. Graduates will be able to use programming and other computer science skills to analyze and interact with data.  

Career Path 

Graduate career path includes Data Analyst, Data Scientist, Machine Learning Engineer, Big Data Engineer, Artificial Intelligence Specialist, Business Intelligence Analyst, Database, Administrator, Healthcare Data Analyst, Financial Data Analyst, Operations Analyst, Quantitative Analyst , Data Engineer, Bioinformatics Data Scientist, Risk Analyst, Marketing Analyst, Environmental Data Analyst, Government Data Analyst, Policy Data Analyst, Research Data Scientist, Cloud Data Engineer, Cybersecurity Data Analyst, Customer Insights Analyst, Sports Analytics Specialist, Retail & E-commerce Data Analyst, Product Data Scientist, Social Media Data Analyst, Supply Chain Data Analyst, Transportation & Logistics Data Analyst, Energy & Utilities Data Analyst, Education Data Analyst.