Applied Statistics and Analytics
Master's

Applied statistics overview

Data is everywhere—but few know how to use it well. With a master of science in applied statistics and analytics, you’ll turn raw data into insight and drive smarter decisions. Build real-world expertise in applied statistics and prepare to lead in a fast-growing field.

AT A GLANCE

Degree Type
Master of Science (M.S.)
Format
On Campus
Credit Hours
30 - 33 Credit Hours
Go To Why This Program Program Highlights Careers & Outcomes

Why study applied statistics?

Our master’s in applied statistics and analytics equips you with advanced skills to thrive in today’s data-driven world. You’ll build real-world expertise in applied statistics, data science, programming and predictive modeling—plus the communication and collaboration skills employers look for.

Coursework includes topics like data management, big data analytics and machine learning. Most classes feature semester-long research projects and many students present at our Student Research and Creative Endeavors Exhibition. Top projects have earned international recognition in SAS-sponsored competitions.

Through our partnership with the SAS Institute, you’ll be prepared to earn two certifications: the SAS Base Programming Certification and the Predictive Modeler Professional Certification.

Graduate teaching assistantships are available for qualified students with strong academic and teaching backgrounds.

Courses What Will Transfer DEPARTMENT INFORMATION

Applied statistics highlights

As a student in our applied statistics and analytics master’s program, you’ll:

  • Work closely with expert faculty: Learn from mentors specializing in actuarial and risk analysis, Bayesian applications and data mining.
  • Master the tools of applied statistics: Build analytical skills to interpret and apply big data across industries.
  • Gain hands-on experience: Take on internships or research projects guided by faculty or industry partners.

Careers in applied statistics

This program prepares you to lead where data drives decisions. With a background in applied statistics, you’ll qualify for roles in business analytics, healthcare, finance, insurance, research and public policy. As demand surges for professionals who can turn complex data into actionable insight, your skills will set you apart.

Career Projected Salary
Data Engineer $98,860
Financial Quantitative Analyst $99,890
Data Analyst (General) $72,247
Strategic Marketing Analyst $72,119
Statistical Reporting Analyst $98,920
Business Intelligence Analyst $103,500
Financial and Investment Analyst $95,080
Two people look at statistical graphs on a tablet screen.
Student in a magenta shirt smiles while speaking with others during a classroom discussion. She sits at a table with papers in front of her, surrounded by others in a collaborative learning environment.

Connect with the STAD community

The Statistics and Data Science Club brings together students interested in applied statistics and data science. Join bi-weekly meetings, hear from industry speakers and grad students and gain hands-on experience that extends beyond the classroom.

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