Discover the World of Data Science

Data explains where we’ve been and can predict what lies ahead. A graduate degree in data science prepares you to analyze data, predict outcomes and use this knowledge to improve business and strengthen your community. As a Regis student, you’ll gain a deep understanding of predictive analytics, statistics, data visualization and data engineering, as well as the ethical and legal nuances of data collection.

You won’t just be sitting in front of a computer, either — between our combined curriculum, practicums and project-based learning, you’ll have plenty of opportunities to see how data is actually put to use. Our curriculum covers both analytics and engineering, meaning you’ll become a well-rounded, dynamic data scientist.

If you’re interested in a career that’s challenging, fulfilling and lucrative, look no further than data science. The median salary for data scientists is $117,345, with a projected need of 2.7 million data analyst and manager roles to be filled by 2028. As a Regis student, you’ll build an impressive portfolio of work demonstrating your data science expertise, which can be sent to future employers. Classes are primarily online, in flexible, 8-week terms to fit around your busy schedule. On-campus courses are available only to students in a cohort of 10 students or more.

Know what you're looking for? This is for you:

Merit Scholarship Available

Every new, eligible M.S. in Data Science student starting at Regis University will receive a Dean’s Scholarship of up to $12,000Learn more and see eligibility requirements here.

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Online Program Snapshot

Program Format
8-week terms

Time Commitment
12-24 months

Start Dates
January, March, May, July, August and October

On-Campus Program Snapshot

Program Format
Full-time, on campus
8-week terms

Time Commitment
12-36 months

Start Dates
January and August

View Full Degree Curriculum and Requirements

Join Regis Alumni Working As:

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

By the Numbers

Median salary for data scientists*
Projected job growth for the next decade*

*Bureau of Labor Statistics, Data Scientist, 2022

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.

Imagine Yourself In ...

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MSDS 610: Data Engineering

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

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MSDS 662: Exploratory Data Analysis

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

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MSDS 680: Machine Learning

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

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

  • Online application
  • Official degree-bearing transcripts
  • Resume
  • Admissions essay
  • Relevant work experience or bachelor's degree

Real people. Really invested in you. Contact your admissions counselor today and learn how we help you each step of the way.

Start Your Application

View Application Requirements

Contact Admissions

Tuition for the 2024-2025 academic year: $976 per credit hour
Total program credits: 36-54
Tuition is one part of the overall cost of attendance, which includes all expenses students may have, including basic living costs. For more information about tuition, fees and your estimated cost of attendance, visit our Cost of Attendance for Adult Undergraduates and Graduate Students page. Tuition and fees are subject to change.

View Technology Requirements

Earning your Master of Science in Data Science from Regis sets you apart and expands your professional network — think of it as an investment in your future. Between scholarship opportunities and financial aid packages, advancing your education is within reach. Explore our Investing in Your Future graduate financing guide or visit our Office of Financial Aid on the web.

Learn More About Financial Aid Options

A Culture of Excellence

Want to learn more? Here's something for you:
The Master of Science in Data Science is offered by the Data and Information Sciences department in the Anderson College of Business and Computing.