Earning your M.S. in Data Science from Regis University

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Why should I study data science?

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 percent of the world’s data was created in the last two years.

Jobs in data science are in demand and the field is in need of people with your insights and passions. McKinsey and Company estimates a shortage of more than 140,000 people with deep analytical skills through 2018. They also project a need for an additional 1.5 million managers and analysts with the know-how to use data in effective decision making.

Is data science for me?

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 in Data Science degree will prepare you for in-demand career opportunities in fields like:

  • Data analytics
  • Data engineering
  • Statistics
  • Predictive analytics
  • Data visualization

Students are often employed in the data science field and want to advance their careers in a leadership role, or they’re looking to enter the field and need to develop their quantitative and analytical skills through real-world application.

What types of people are attracted to our M.S. in Data Science program? You’re likely to share common traits such as:

  • A knack for solving problems
  • Deep curiosity
  • High motivation
  • The ability to learn quickly
  • An analytical mindset
  • Creative thinking

What will I learn in Regis’ M.S. in Data Science program?

In our on-campus and online Master of Science in Data Science program, you’ll balance fundamentals and theory with industry-relevant application and projects that will help you solve real-world problems.

You’ll explore the two primary components of data science – data engineering and data analytics – with an emphasis on ethics in data and using it to contribute to the good of society. What makes Regis’ Data Science program different? Unlike other programs, you’ll study the analysis of data through data science software and data engineering.

After completing the program you’ll be able to:

  • Assemble data for analysis
  • Use statistics and experimental design to construct data experiments
  • Identify trends and patterns in data
  • Generalize knowledge and insights from data
  • Create visualizations and infographics that explain data
  • Use data to effectively communicate stories that help solve problems for the business you work for
  • Use data to identify new sources of revenue or define business strategies
  • Judge data science projects for ethical concerns
  • Appraise data science projects that positively contribute to society

Is Regis’ Data Science program accredited?

Regis University is accredited by The Higher Learning Commission.

What class formats are available?

Data Science courses are offered online and in the classroom. The convenience of completing your data science masters online allows you to work and attend school at the same time, working toward your degree without sacrificing your paycheck.

When do Data Science classes start at Regis University?

Courses are offered in eight-week terms that begin in:

  • January (On Campus Cohort* at Northwest Denver Campus & Online)
  • March
  • May
  • July
  • August (On Campus Cohort* at DTC Campus & Online)
  • October

*Campus-based classes are offered for this program twice annually as a “cohort” model, in which you progress through the program with the same group of students through attending on-ground, campus-based classes versus taking classes online. The majority of the campus-based cohort classes are offered at our Denver Tech Center (DTC) campus in August and our Northwest Denver campus in January.  The cohort model is intended to start and graduate together, through taking the same sequence of on-campus classes.

What are Regis graduates saying about our M.S. in Data Science program?

“The labs and coursework at Regis prepared me to knock out technical interviews for data scientist roles,” said Kal Rosa, M.S. in Data Science student. “I’ve had the opportunity for hands-on experience with Hadoop, Tableau and predictive analytics that made my courses at Regis enjoyable, with tangible topics that transfer right into the workplace.”

Faculty Spotlight

Douglas Hart, Professor, Chair of Data Sciences Department

“The data science program at Regis challenges students to hone their analytical skills in a socially responsible manner,” said Doug Hart, Professor, Chair of Data Sciences Department at Regis University. “We explore data issues that today’s businesses and governments are facing and privacy issues that consumers are passionate about. The program really prepares students to think critically about how to best analyze data and the role that data plays in decision making.” 

Career Opportunities

What careers can I get with a data science degree?

With an M.S. in Data Science degree, you’ll be prepared for a variety of roles in nearly any industry, wherever your passions lie. You’ll develop skills to work alongside business, technology and analytics teams, coming together to solve problems. Commonly held data science titles include:

  • Business Intelligence Analyst
  • Data Architect
  • Data Warehouse Analyst
  • Data Engineer
  • Data Analyst
  • And Statistician, among other roles

Graduates will be prepared for an in-demand leadership role managing teams of analysts and data scientists.

Career support from Regis

The Center for Career and Professional Development at Regis provides you with the resources, training and advice to help you establish and meet your career goals. That means we’ll help you choose an academic major, explore and find a new career path or create the tools for a successful job search that will promote your career. To learn more, visit our Center for Career and Professional Development page.

What salary can I expect with an M.S. in Data Science degree?

Salary numbers for data science jobs vary by title and experience. Below are ranges for some common positions with varying experience levels. All information is via datajobs.com*.

  • Entry-level Data Analyst: $50,000 - $70,000
  • Experienced Data Analyst: $65,000 - $110,000
  • Junior Data Engineer: $70,000 - $115,000
  • Data Scientist: $85,000 - $170,000
  • Analytics Manager: $90,000 - $240,000
  • Domain-expert Data Engineer: $100,000 - $165,000

*Salary data from spring 2016.

Program Requirements

Core Requirements (18 credit hours)
MSDS 600 Introduction to Data Science

MSDS 610 Data Engineering (3 credit hours)
MSDS 640 Ethics, Privacy and Social Justice in Data Science
MSDS 650 Data Analytics (3 credit hours)
MSDS 660 Statistical Methods and Experimental Design
MSCC 697 Information Technology Research Methods
Data Science Electives (12 credit hours)

Data Engineering Specialization (complete the 4 MSDE Courses)


Select 4 classes from the following:
MSDE 620 Data Collection and Preparation
MSDE 621 Data Wrangling
MSDE 630 Big Data Architecture
MSDS 662 Exploratory Data Analysis
MSDS 664 Statistical Inference and Predictive Analytics
MSDS 670 Visualization (3 credit hours)
MSDS 680 Machine Learning
MSDS 682 Text Analytics
MSDS 684 Optimal Decision Making
MSDS 686 Deep Learning
MSDS 688 Artificial Intelligence
Degree Completion Requirements (6 credit hours)
MSDS 692 Data Science Practicum I 
MSDS 696 Data Science Practicum II
Total Degree Requirements = 36 credit hours

Please note that recent course requirement updates may not be reflected in the list above and you should contact an admissions counselor at 800.944.7667 for recent changes and updates.

To download a printable fact sheet with program details, click here.

Recommended Course Sequencing for the M.S. Data Science program:

First Course

  • MSDS 600 Introduction to Data Science

Second and Third Courses (in any order)

  • MSDS 610 Data Engineering
  • MSDS 650 Data Analytics

Fourth, Fifth, and Sixth Courses (in any order)

  • MSDS 640 Ethics, Privacy, and Social Justice
  • MSDS 660 Statistical Methods and Experimental Design
  • MSCC 697 Information Technology Research Methods

Seventh through Tenth Courses, choose four total (in any order)

  • MSDE 620 Data Collection and Preparation
  • MSDE 621 Data Wrangling
  • MSDE 630 Big Data Architecture
  • MSDE 631 SQL & NoSQL
  • MSDS 662 Exploratory Data Analysis
  • MSDS 664 Statistical Inference and Predictive Analytics
  • MSDS 670 Visualization with Tableau
  • MSDS 680 Machine Learning
  • MSDS 682 Text Analytics
  • MSDS 684 Optimal Decision Making
  • MSDS 686 Deep Learning
  • MSDS 688 Artificial Intelligence

Eleventh and Twelfth Courses

  • MSDS 692 Data Science Practicum I
  • MSDS 696 Data Science Practicum II

System Requirements

Your computer should be capable of running virtualized operating systems using VMware Workstation, VMware Fusion, or Oracle’s VirtualBox software and should meet the following specifications:

  1. Computer Memory – 8 GB of RAM required, 16 GB or more recommended
  2. CPU Capabilities A dual core CPU, with four threads (Intel hyper-threading) is required.  An Intel i5 or i7 type chip is recommended, or the AMD equivalent.
  3. Disk 500 GB of disk space for your coursework is required.  Solid-state disk is recommended
  4. Operating System – A recent version of Windows or Apple OS X
  5. Internet connection – A broadband Internet connection is required such as provided by cable connections or DSL. 

Note: If you will be taking classes in the campus classroom, then your computer should be a notebook computer that you can bring to the class sessions.  

How to Apply

Take the next step in your Regis experience and connect with a Regis admissions counselor for information and assistance.

Apply Now!

Admission Criteria

The Master of Science in Data Science degree requires students to have prerequisite knowledge in computer programming and statistics. Three or more years of relevant work experience OR a bachelor’s degree within the past two years in a relevant computer information sciences field is required.

Applicants must possess a baccalaureate degree either from a U.S. regionally accredited institution or a recognized institution in another nation equivalent to a U.S. regionally accredited bachelor’s degree.

Materials Needed for Application and Admission

  • Complete the online graduate application
  • Submit official degree-bearing transcripts either from a U.S.regionally accredited institution or recognized institution in another nation. Official transcripts must be sent directly from your previously attended schools to the Office of Admissions. You can download a transcript request form here.
    • Submit mailed transcripts to:
      Regis University
      Office of Admissions
      3333 Regis Boulevard
      Mail Code: P-28
      Denver, CO 80221-1099

    Electronic transcripts may be sent to sendtranscripttoRU@regis.edu

  • Admissions essay (Career Goal Statement).  Instructions to upload your completed statement are included in the online application.
  • Current resume
  • Additional admission requirements apply to international students who are non-U.S. citizens
  • Please remember: Applications that are incomplete and/or missing information will NOT be processed.

Admissions Eligibility

All completed applications for admissions will be reviewed. A minimum undergraduate cumulative grade point average of 3.0 or higher on a 4.0 scale is recommended. Applicants with a GPA below 3.0 and/or those applicant who do not meet the work experience requirement will be considered on an individual basis and will be required to take one 500-level foundational course (3 credits) prior to beginning their 600-level graduate program coursework. A grade of “B” or better must be achieved in the 500-level foundational course to continue progressing through the 600-level graduate program coursework.

It is recommended that applications are submitted one month in advance of desired start date to ensure adequate processing time and optimize class availability options. Completed applications will be considered up to two weeks prior to the start date. Visit the academic calendar to view start dates.

Your application file, including all required documents, must be completed to be considered for admission.  Keep in mind that classes can reach capacity, so you are encouraged to apply now for admission consideration.

International Applicants

All completed application materials should be submitted at least six to eight weeks in advance of your intended start date. It takes longer to process international applications. Visit the academic calendar here.

Schedule a one on one appointment with an Admissions Counselor at the DTC Campus. Click here to select an appointment.


Visit our Cost of Tuition page to see the tuition and fee schedule for the M.S. Data Science program.