data scientist working on computer

Data Science

Master of Science

Putting data to work. 

Simply put, you see data differently than other people. Data explains where we’ve been, but you think it also tells us what lies ahead. Fortunately, there’s plenty of data for you to work with. According to IBM, 90% of the world’s data was created in the last two years.

From insurance, to banking, to healthcare, nearly every industry has recognized the value of data and the people who can analyze and interpret it. A master’s degree in Data Science will prepare you for in-demand career opportunities in fields like predictive analytics, statistics, data visualization and data engineering.

Ready to apply? See how

Request More Information

*Denotes a required field

By submitting this form, you give Regis University your consent to use automated technology to call, text and e-mail you at the information above regarding educational services. Please note that you are not required to provide this consent to receive educational services.

Program Snapshot

Program Format
Online + on campus courses
8-week terms

Credits for Completion
36 credit hours

Cost of Tuition
$950 per credit hour

Sample Data Science Classes

classroom shot with book icon on top

MSDS 610: Data Engineering

Techniques for designing, building and managing information with relational databases, NoSQL databases and big data infrastructure.

classroom shot with book icon on top

MSDS 662: Exploratory Data Analysis

Methods for analyzing, summarizing and formulating hypotheses about data using visual methods and data collection experiments.

classroom shot with book icon on top

MSDS 680: Machine Learning

Construction and study of software systems that learn from data using supervised, unsupervised and  reinforcement learning techniques.

Program Details

Get all the details on our M.S. Data Science program, including course requirements and application materials. 

Data Science Career Paths

Data Architect

Data Architects construct and maintain a company's database. They are knowledgeable in data architecture, design and deployment and are in charge of how data is stored and integrated into IT systems.


Statisticians collect and gather data to resolve real-world problems by working and collaborating with a variety of workers in other fields such as mathematicians, engineers, and scientists.

Data Engineer

Data Engineers focus on preparing data for analysis by designing, building and integrating data from company resources. Their goal is to optimize and make data accessible.

Data Scientist

Data Scientists interpret and analyze large amounts of data. After analyzing the data, Data Scientists use information  from the analysis to develop solutions to business challenges.

Business Intelligence Analyst

Business Intelligence Analysts use data analytics to determine trends. Their analytics helps drive decision making.

Data Engineer

Data Engineers are responsible for converting data into a format that allows it to be analyzed. Data Engineers should expect to learn about their company's goal or mission which will help figure out what kinds of data need to be converted.

Leidy Boyce

"I wanted to explore new career opportunities through Regis"

Leidy Boyce

M.S. Data Science, 2020

Read About Leidy's Regis Experience
students sit at table in classroom

Not quite ready for the full degree?

Start with a certificate program and see what you think. All classes taken as part of the Data Science graduate certificate can be applied towards the master's degree in Data Science, so you can decide to keep going without skipping a beat.

How to Apply

To apply to the M.S. Data Science program, you will need: 

  • Completed online application
  • Official degree-bearing transcript
  • Resume
  • Essay
  • Relevant work experience or bachelor's degree

The first step in the application process is to contact an admissions counselor, who can evaluate your prior learning credit, provide information regarding financial aid and tuition assistance and help you through the entire application process. 

Tuition and Fees

Program tuition: $950 per credit hour
Total program credits: 36
Fees: $75 technology fee per course

Regis also offers a variety of scholarships, grants and other programs to help you pay for school. Visit Financial Aid for more information.

Technology Requirements
• 8 GB RAM required, 16 GB recommended
• 500GB HDD (preferably an SSD)
• an i5 or i7 processor or better, or an AMD equivalent
• a recent version of Windows or Mac OS

Rolling Admissions

Applications are accepted and reviewed on a rolling basis. It is recommended you apply to this program at least 4 weeks prior to your desired start date.

Starts are offered in January, March, May, July, August and October.

Students wishing to take classes on campus may begin in January (Northwest Denver campus) or August (DTC campus) as part of a student cohort.

Compare Programs

Want to compare our graduate computer science programs?