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Data Analytics

Master of Science


CSP’s Master of Science in Data Analytics degree gives you the opportunity to stay on top of the growing data analytics field with the latest tools and technologies to help lead organizations.


Program Length

36 Credits


On Campus

Our expert faculty are prepared to help you analyze testing techniques, use open-source R and Python to program data analytics capabilities, identify numerical optimization in linear programming, and give you all the practice you need with tools like Hadoop, Spark, and Splunk.

With CSP’s data analytics degree, you will be ready with skills to gather and store big data in a high-salaried role. Employers are on the hunt for pros with your skillset.



Market Research Analyst $ 63,920

2021 Median Income

22 %

Job outlook 2020-2030
(Much faster than average)

Management Analyst $ 93,000

2021 Median Income

14 %

Job outlook 2020-2030
(Faster than average)

Computer and Information Systems Manager $ 159,010

2021 Median Income

11 %

Job outlook 2020-2030
(Faster than average)

Program Details

Within the program you will analyze various testing techniques such as hypothesis testing, two sample and one-way analysis of variance (ANOVA) tests, chi-square tests, simple linear regression, and multiple regression. Learn how to utilize an open-source R statistical package plus Python to program data analytics capabilities.

Other key skills you’ll focus on are Identifying statistical graphic simulations and numerical optimization in linear programming. You’ll also explore designing a decision support system (DSS) using object-oriented technologies.


CSP was ranked in the Top 10 “Career Ready” Institutions & Top 10 “Career Ready” Feedback for First-Generation College Students in the 2021 SkillSurvey Career Readiness.

Career Support

The support system you’ll enjoy at CSP continues far past the day you receive your diploma. Our Office of Career Development helps students and alumni find meaningful work through job & internship assistance, networking opportunities, interview prep, and much more.

Meet our faculty

Our world-class faculty use their decades of experience to nurture your success from the first day of class all the way to graduation— and beyond.

Heather Wegwerth

Department Chair; Computer and Information Science Department

Joel Schuessler, Ph.D.

Faculty, Dept. of Computer & Information Science

Randy Carlson

Associate Professor of Practice, Information Technology Management - BA