Data Science Program

Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum.


Program at a Glance

  • Online or In-Person Tracks
  • 12 Courses–Finish in 18-24 Months. 
  • Industry-Aligned Courses and Projects. 
  • Start Dates: Online Jan., April, June, or Sept.; or In-Person: Sept. 
  • Top-Ranked University
  • Grants up to $6,000 are available


Ready to Shape your Future in Data Science?

  • icon


    Submit a resume via the application status page listing your current employer(s) and professional experiences.

  • icon


    A regionally accredited baccalaureate degree is required for admission. You may submit an unofficial transcript with your initial application. 
    Upon acceptance, you will need to have one official transcript from each college or university. This includes transcripts for credit earned for transfer work and study abroad. Official electronic transcripts can be sent to through a secure third party. Official transcripts may also be sent via postal mail in an unopened envelope that has been sealed by the issuing university.

    Official transcripts can be sent to:

    University College
    University of Denver
    Attn: Admission
    2211 South Josephine Street
    Denver, CO 80208

  • icon

    Recommendation Letters

    Two (2) letters of recommendation are required but three (3) are preferred. Letters should be submitted by recommenders through the online application. 

  • icon

    Personal Statement

    A personal statement of at least 300 words is required. Your statement should provide a response to the following questions: 

    • What is your motivation for pursuing data science at this time and why are you interested in pursuing this study at the University of Denver? Please be specific. 

    • How has your academic training, work experience, and/or self-directed learning prepared you for graduate work in data science? 

    • What do you expect will be the most challenging aspects of participating in the data science graduate program for you personally? What preparations can you take to overcome these challenges? 

    • What do you want to accomplish in the future as a data scientist? 

  • icon

    Python Prerequisite

    Applicants must meet the program’s Python prerequisite prior to matriculation. The prerequisite can be met either through a college-level, credit-bearing, computer programming course in Python (completed within the past two years) or by taking the University of Denver’s COMP4401, Introduction to Python for Data Scientists. In either case, a grade of ‘B’ or higher is required for prerequisite approval. Applicants who meet the prerequisite with a prior Python programming class may be asked to submit the course description and/or syllabus for review and approval. 

  • icon

    Additional Requirements

    If you wish to study on an F1 or J1 visa, please review the admission requirements for international applicants. 

ritchie campus

Start Your Application

Advance your career with a Master of Science in Data Science

Apply Now