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
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
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 degree will prepare you for in-demand career opportunities in fields
- Data analytics
- Data engineering
- 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
What types of people are attracted to our M.S. in Data Science program? You’re likely to share common traits
- 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
one of six regional higher education institutional accreditors in the United States and a member of the North Central Association.
What class formats are available?
Data Science courses are offered online and in the classroom. The convenience of online data science courses let you
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:
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.”
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.”