The Data Science BS with an Economics option provides students fundamental training for the field of Data Science while allowing students to focus their data science training on applications related to Economics. If you have questions about the degree program or need advising, please email data.science.advising@ucdenver.edu with your inquiry.
The course requirements below summarize the data science-related course requirements but do not describe broader university or college degree requirements. Additional program requirements related to GPA, minimum grades, credit hours, restrictions, etc. are provided in the university catalog description of the Data Science BS.
Required courses
MATH 1401: Calculus I
MATH 2411: Calculus II
MATH 2421: Calculus III
MATH 3376: Data Wrangling & Visualization
MATH 3382: Statistical Theory
MATH 3810: Introduction to Probability
MATH 4387: Applied Regression Analysis
MATH 4388: Machine Learning Methods
CSCI 1410: Fundamentals of Computing and CSCI 1411: Fundamentals of Computing Laboratory
BMIN 1000: Introduction to Business
ISMG 2050: Business Problem Solving Tools
ISMG 3500: Business Data and Database Management
ISMG 3110: Data Governance and Ethics
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*Requires the approval of the Director of Data Science and an advisor for the course. CSCI 4840 or 4939 will only be approved for the Computer Science option. Must be taken for 3 credit hours.
Economics option electives
Choose nine additional credits not previously taken from the list below.