Online Master’s in Data Science
Earn Your MS in Data Science Degree Online from the University of Denver
The University of Denver offers an online MS in Data Science designed to prepare analytically minded students to build and use data to make critical decisions. DataScience@Denver is led by a faculty of top researchers, offering the same exceptional learning experience as the on-campus program.
No GRE Required
Developing Data Science Leaders
Using techniques like data mining and machine learning, DataScience@Denver students are empowered to build the tools that facilitate the use of data for crucial business, research, and policy decisions.
The online MS in Data Science program, which can be completed in as few as 18 months, prepares students to become part of the next generation of data scientists.
No Programming Experience Needed
The DataScience@Denver Online Experience
Our online platform is designed to encourage consistent, meaningful interactions within a high-tech learning environment. Classes are kept intentionally small, allowing students to meet weekly in our face-to-face video platform while gaining perspective from peers and faculty.
With our blend of online classes and self-paced course content, students master data science concepts, collaborate with fellow professionals and receive the high-quality education you expect from the Richie School. Our students benefit from:
- An innovative digital platform built using research into how students learn most effectively online.
- Live online classes offering diverse insight and real-time interactions with professors and classmates.
- Self-paced coursework consisting of weekly strategic assignments accessed using our online campus.
- A complimentary LinkedIn Premium membership that equips you with the tools to boost your professional growth.
The online MS in Data Science curriculum develops leaders skilled in data collection, evaluation, mining and machine learning to inform critical business, research and policy decisions. From the start of the program, students undertake a rigorous mathematical curriculum as they learn to master advanced data concepts.
DataScience@Denver requires those without a computer science background to complete three 4-credit bridge courses. However, students may test out of these courses. These courses are designed to prepare students for success throughout the curriculum:
- Computer Science Programming Basics: Covers the basis of Python programming
- Data Science Mathematics 1: Covers elements of calculus essential for data science
- Data Science Mathematics 2: Covers elements of linear algebra and discrete math
Admissions standards for DataScience@Denver’s online programs match the University of Denver’s high standards for excellence and are the same as for on-campus programs. All applicants must hold a bachelor’s degree from a regionally accredited institution to be considered for admission.
Required Application Materials
- Online application
- Current resume
- Application fee (waivers available)
- Two letters of recommendation
- Personal statement
The GRE is not required.
Data scientists gather, interpret and analyze data to help companies solve problems, predict activity and understand strategy performance.
Almost every organization needs a data science team to help leverage data. In fact, LinkedIn ranked data scientists as one of its top-three emerging jobs of 2020.1
Why Pursue an MS in Data Science?
According to the Bureau of Labor Statistics, there is a high-demand job outlook for MS in Data Science graduates. The field is expected to grow by 31% between 2019-20292 with a $100,560 average annual salary for data scientists and related occupations.3
We are committed to working with DataScience@Denver students throughout the program to determine and develop personalized career goals — and then help accomplish them.
1 2020 Emerging Jobs Report, LinkedIn, 2020. https://business.linkedin.com/content/dam/me/business/en-us/talent-solutions/emerging-jobs-report/Emerging_Jobs_Report_U.S._FINAL.pdf.
2 Occupational Outlook Handbook, BLS. https://www.bls.gov/ooh/about/data-for-occupations-not-covered-in-detail.htm#Computer%20and%20mathematical%20occupations.
3 Occupational Employment and Wage Statistics, BLS, May 2020. https://www.bls.gov/oes/current/oes152098.htm#nat.