Program Overview

University of Colorado Denver | Anschutz Denver | Anschutz Medical Campus

The University of Colorado Denver offers a wide range of academic programs, including undergraduate and graduate degrees, as well as certificate programs.

Academic Catalog

The academic catalog provides information on the university's academic programs, including degree requirements, course descriptions, and admission criteria.

Schools and Colleges

The university is organized into several schools and colleges, including:

• College of Architecture and Planning
• College of Arts & Media
• Business School
• School of Education & Human Development
• College of Engineering, Design and Computing
• Graduate School
• College of Liberal Arts and Sciences
• School of Public Affairs

CU Anschutz Medical Campus

The CU Anschutz Medical Campus offers a range of academic programs, including:

• School of Dental Medicine
• Graduate School
• School of Medicine
• College of Nursing
• Skaggs School of Pharmacy and Pharmaceutical Sciences
• Colorado School of Public Health

Data Science, BS

The Data Science, BS program is designed to provide students with a strong foundation in data science, including programming, statistics, and data visualization.

Program Requirements

To earn a degree in Data Science, BS, students must complete a total of 62-71 major credit hours, including:

1. Required courses:
   • BMIN 1000: Introduction to Business
   • CSCI 1410/1411: Fundamentals of Computing
   • ISMG 2050: Business Problem Solving Tools
   • ISMG 3110: Data Governance and Ethics
   • 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
2. Elective courses:
   • Students must choose from a list of approved elective courses, including:
     • BANA 4110: Business Analytics Process
     • BANA 4120: Forecasting Techniques
     • BANA 6610: Statistics for Business Analytics
     • BANA 6620: Computing for Business Analytics
     • BANA 6670: Prescriptive Analytics with Optimization
     • BANA 6710: Causal Analytics
     • BANA 6770: Evaluative Analytics

Concentration Options

The Data Science, BS program offers several concentration options, including:

• General Data Science Option
• Business Option
• Chemistry Option
• Computer Science Option
• Economics Option
• Geography Option
• Mathematics Option

Student Learning Outcomes

The program's student learning goals are to:

• Apply math and programming skills necessary for data science
• Explore technical and practical data science by applying the data cycle
• Assess and improve the quality of data relative to analytical needs
• Address data challenges of volume, variety, and velocity
• Apply techniques, methodologies, and technologies for various forms of data analysis
• Create visualizations of complex data and results
• Explain data and results in writing and verbally
• Assess ethical implications in data science
• Apply data science in a variety of domains

Plan of Study

The plan of study for the Data Science, BS program depends on the student's entry-level math placement. There are three plans of study:

• Calculus I
• Precalculus
• Algebra

Each plan of study outlines the required courses and elective courses for each year of the program.