Bachelor of Science Data Science

by DePaul University Claim Listing

The 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.

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Course Details

The 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.

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.
  • Chicago Branch

    1 E. Jackson Blvd, Chicago

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University Of Minnesota Logo

Bachelor of Science in Data Science

The Bachelor of Science in Data Science degree is designed to provide undergraduate students with the theoretical and practical knowledge and skills needed to become a data scientist.

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Students study a common core of fundamental topics, supplemented by a program of six electives that provides a high degree of flexibility. Three of the electives are chosen from a list of upper-level courses that represent area foundations within computer science.

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