48-60
Total Credits
Online Master of Science in Data Science
Online Master of Science in Data Science
Online Master of Science in Data Science
From the University of DenverFrom the University of DenverFrom the University of Denver
A Curriculum for Data Professionals
University of Denver’s Online M.S. in Data Science is ranked No. 12 on Fortune’s 2022 list of best online master’s in data science programs.1
No GRE
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 18 to 24 months depending on student schedules.
To learn more, visit the curriculum page.
Foundational Courses
Because the online MS in Data Science program is available to students from all academic and professional backgrounds, we offer three foundational courses that provide students with a solid background in programming to help them succeed in their data science coursework.
Each course is worth 4 credits and does not count toward the 48-credit requirement to complete the data science master’s program.
The three foundational courses are:
Foundations in Python Programming
This accelerated course covers the basics of Python programming. By the end of the course students will be able to develop, design, and implement Python programs, appreciate the difference between data types, learn to read from and write to files, understand and use data structures, understand and use recursion.
Foundations in Data Science Mathematics I
This course presents the elements of calculus essential for work in data science. Students will study differentiation and integration in the context of probability density and of optimization.
Foundations in Data Science Mathematics II
This course presents the basics of linear algebra and discrete math essential for subsequent coursework in data science.
Featured Courses
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:
Algorithms for Data Science
Students learn the algorithmic strategies and techniques that data scientists use to understand complex data science challenges like dynamic programming, randomization and order statistics.
Machine Learning
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.
Parallel and Distributed Computing for Data Science
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.
Developing Data Science Leaders
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 distinguished by its rigor—students coming from many disciplines develop essential skills like probability and statistics, programming, and problem solving. The curriculum was designed to produce graduates who are prepared to enter the exciting and demanding field of data science.”
– Bruce Harmon, Professor of the Practice of Computer Science and Faculty Director for DataScience@Denver
Gain the Data Skills You Need to Solve Complex Challenges
Explore the online MS in Data Science program today
Access Your Application
Join us in building a smarter, more sustainable world. Take the next step today.
DataScience@Denver Admissions
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:
- Application Fee or Waiver
- Personal Statement
- Current Résumé
- Official Transcripts
- Letters of Recommendation
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 September 2023 cohort is
June 14, 2023.
Earn Your Master’s in Data Science in as Early as 18 Months
Access Your Application
A Growing Demand for Data Scientists
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.
Careers in Data Science
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:
- Business analyst
- Computer information scientist
- Data analyst
- Data architect
- Data engineer
- Data scientist
Data science skills can be applied across a wide range of industries, including:
- Biotech
- Energy
- Finance
- Government
- Healthcare
- Manufacturing
- Retail
- Travel and transportation
Learn more about the online MS in Data Science program today.
Join us in building a smarter, more sustainable world.
Take the next step today.
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