48
Total Credits
From the University of Denver
Request More Information
Request More Information
Total Credits
Months to Complete
Required
The online MS in Data Science curriculum comprises of 15 courses that provide students with knowledge and skills in critical competencies such as programming, data mining, machine learning, database management, and data visualization.
Upon graduation, students will be able to build tools to collect, evaluate, and interpret data to solve complex challenges across a variety of industries. The curriculum can be completed in as few as 18 months depending on student schedules and meeting our Python prerequisites.
To learn more, visit the curriculum page.
The Datascience@Denver curriculum prepares students to collect, evaluate, and interpret data to inform critical decisions. From the start of the program, students are challenged by rigorous coursework as they learn to tackle the world’s most crucial big-data challenges.
Below are a few examples of featured courses:
Students are given an overview of machine learning techniques, the strengths and weaknesses of those techniques, and the problems they are designed to solve. Topics covered include linear and logistic regression, neural networks, and decision trees.
Students implement parallel and distributed computing methods like threaded applications and GPU parallel programming to solve large problems by breaking them down into smaller ones.
This course addresses the foundational concepts and components of Artificial Neural Networks (ANN), highlighting their capabilities, strengths, and weaknesses as a machine learning algorithm.
DataScience@Denver, the online MS in Data Science program from the University of Denver’s Daniel Felix Ritchie School of Engineering and Computer Science, prepares students at any stage of their careers to use data to help their organizations make more informed strategic decisions.
You will connect with peers from various locations, cultures, and areas of expertise as you learn to harness the power of data. Our students have gone on to work at major international companies as key players in the data science industry, valued for their diverse perspectives and proactive methods of problem solving.

“The DataScience@Denver program is designed for aspiring data scientists who seek a robust course of study within a tight-knit, career oriented, learning community. Our curriculum targets disciplinary proficiencies that underpin modern data science practices and, building upon this foundation, engages learners in project-based assessments that scaffold industry relevant skills. Ultimately, we aim to position our graduates for successful entry and advancement in the data science career track of their choice.”
– Sean Connin, PhD, Teaching Professor & Faculty Director for Data Science Graduate Programs, Daniel Felix Ritchie School of Engineering and Computer Science – University of Denver
Explore the online MS in Data Science program today
Request More Information
Join us in building a smarter, more sustainable world. Take the next step today.
Applicants must hold a bachelor’s degree from a regionally accredited college or university or the recognized equivalent from an international institution. Although applicants must demonstrate strong analytical skills, technical and/or programming experience is not required.
GRE scores are not required for admission to the program. In addition to the online application, students must submit the following:
The online data science master’s program has four start dates throughout the year. Applications are reviewed and accepted on a rolling basis.
Now accepting applications for our upcoming cohort.
The Final Application Deadline for the January 2024 cohort is November 3, 2023.
Request More Information
The data science field continues to grow as more companies rely on the benefits of data collection and evaluation. According to the U.S. Bureau of Labor Statistics, employment of computer and information research scientists is projected to grow 22% from 2020-2030, much faster than the average for all occupations.2
Why Become a Data Scientist?Students can benefit from opportunities in this growing field and focus their studies to gain a competitive advantage. Take time to explore related areas of data science, including machine learning.
DataScience@Denver prepares students to leverage their technical expertise and equips them to succeed across various career paths and industries.
Careers that many students choose to pursue after earning their data science degree include:
Data science skills can be applied across a wide range of industries, including:
Request More Information
1Best Online Master’s in Data Science Programs in 2022. (2022). Fortune. Retrieved April 18, 2022.arrow_upwardReturn to footnote reference
2Occupational Outlook Handbook, U.S. Bureau of Labor Statistics, 2021. Accessed Oct. 19, 2021.arrow_upwardReturn to footnote reference
Request More Information