Add data analytics to your professional toolkit.

Business success in today’s world is driven by the collection and interpretation of vast amounts of data. From customer profiles to supply chain logistics, every aspect of a company’s operations can be analyzed and improved through data science. Employers know this — and they are competing to have top talent join their organizations.

With the Regis Graduate Certificate in Data Science, you can add these valuable tools to your professional skillset and stand out from the crowd. You will learn how to manipulate data, utilize statistical data analysis techniques such as machine learning and leverage big data to uncover useful insights.

Classes are offered online and are designed to fit around your busy schedule. Should you decide to pursue a full master's degree in data science, all courses in the certificate program will seamlessly transfer to your master's degree.

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Program Snapshot

Program Format
Online courses
8-week terms

Time Commitment
6 - 12 months

Key Dates
Starts are offered in January, March, May, June, August and October.

By the Numbers

$126830
Median salary for computer and information research scientists*
15%
Projected job growth through 2029*
463 million
Terabytes of data created daily across the world**

*U.S. Bureau of Labor Statistics, “Computer and Information Research Scientists”
**Seed Science, “How Much Data is Created Every Day?”

Leidy Boyce

"I wanted to explore new career opportunities through Regis"

Leidy Boyce

M.S. Data Science, 2020

Read About Leidy's Regis Experience

Program Details

Want to learn more? Here's something for you:
Get all the details on our graduate certificate in Data Science, including course requirements and application materials.

student talking with a teacher

MSDS 600: Intro to Data Science

Foundational topics of data science including data manipulation, data analysis using statistics and machine learning and techniques for working with Big Data.

students in a computer lab

MSDS 610: Data Engineering

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

students doing homework in front of a computer in the library

MSDS 650: Data Analytics

Discovery and communication of meaningful patterns in data using techniques such as statistical modeling, machine learning, computer programming and data visualization.

teacher in the lab cooking science up

MSDS 692: Data Science Practicum I

Provides a hands-on data science lab experience that covers all phases of a typical data science project, including data discovery, data preparation, model planning, model building and communicating results.

To apply to the Data Science Graduate Certificate program, you will need:

  • Completed online application
  • Official transcripts
  • Resume
  • 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.

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Tuition for the 2024-2025 academic year: $976 per credit hour
Total program credits: 12
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.

Earning your Graduate Certificate 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 Data Science Graduate Certificate program is offered by the Marketing and Data Science Department in the Anderson College of Business and Computing.