BS in Data Science at CU Denver

Transform Data into Insights and Drive Decision-Making

Our Program's Strengths

Comprehensive Curriculum

Develop expertise in data management, machine learning, statistical modeling, and data visualization.

Hands-On Learning

Apply data science techniques through real-world projects, using tools like Python, R, and SQL. 

Interdisciplinary Applications

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The BS in Data Science at CU Denver prepares students with a strong mathematical, statistical, and computational foundation, ensuring they are industry-ready upon graduation. Students gain experience through real-world projects and case studies, applying data science techniques to industry challenges. Additionally, the program allows students to customize their degree with 9 credits of 4000-level application domain electives, enabling them to specialize in fields such as finance, environmental science, and healthcare analytics to align with their career goals.

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The explosion of data in nearly every industry has created a high demand for professionals who can analyze, interpret, and leverage large datasets to drive decision-making. CU Denver’s Bachelor of Science in Data Science equips students with a strong foundation in mathematics, programming, statistical modeling, and machine learning, preparing them for careers in a variety of fields including healthcare, finance, business, national security, and technology. 

Gain exposure to data science applications in fields such as business, healthcare, environmental science, and public policy.

Program Details

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Course Start Dates
Fall, Spring, Summer

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Course Duration
Typically 4 years

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Number of Credits
120 credit hours (67-69 major credits)

Data science professionals are essential in today’s digital landscape, driving innovation and strategic decision-making across industries. CU Denver’s BS in Data Science provides the skills and experience necessary to succeed in roles that require data-driven problem-solving, machine learning, and statistical analysis. 

Courses & Careers

Data Wrangling & Visualization
Clean, manipulate, and visualize data for effective communication. (ISMG 2050, MATH 3376)

Data Science & Machine Learning
Learn how to apply machine learning algorithms, AI and statistical methods to real-world problems. (CSCI 4580, CSCI 4930, CSCI 4931, MATH 4388, ELEC 3701)

Big Data Systems & Data Mining
Explore methods for handling massive datasets and extracting meaningful insights. (CSCI 4455, CSCI 4702, CSCI 4951) 

Statistical Theory & Applied Regression
Develop a deep understanding of probability, statistics, and regression analysis. (MATH 3382, MATH 3810, MATH 4387, BANA 4110, BANA 4120)

Example courses

Algorithms & Databases for Data Science
Learn how data is structured, stored, and efficiently processed. (CSCI 3287, CSCI 3412, ISMG 3500)

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