Data Science, B.S.

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 that is rooted in the fundamentals, but also provides hands-on experience with cleaning, visualizing, analyzing and reporting on data. Students choose electives within the major to specialize more in the computer science or statistical aspects of data science. 

All admission policies and requirements for domestic students apply to international students along with the following:

• Demonstrate English Language Proficiency
• Proof of financial support must include:
  • A letter of financial support from the person(s) or sponsoring agency funding the time at Saint Louis University
  • A letter from the sponsor's bank verifying that the funds are available and will be so for the duration of study at the University
• Academic records, in English translation, of students who have undertaken postsecondary studies outside the United States must include the courses taken and/or lectures attended, practical laboratory work, the maximum and minimum grades attainable, the grades earned or the results of all end-of-term examinations, and any honors or degrees received. WES and ECE transcripts are accepted.

You need to complete 122 credit hours to successfully obtain this degree. Please check detail of study units at https://catalog.slu.edu/colleges-schools/arts-sciences/interdisciplinary/data-science-bs/

1. Graduates will be able to use programming and other computer science skills to analyze and interact with data.
2. Graduates will be able to apply statistics to analyze data sets.
3. Graduates will be able to acquire and manage complex data sets.
4. Graduates will be able to use technical skills in predictive modeling.
5. Graduates will be able to visualize data to facilitate the effective presentation of data-driven insights.

You can join one of the following careers:

• Data Scientist
• Data Science Developer
• Data Science Consultant