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 HighlightsAccelerated Program 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.

Accelerated master's in statistics

Save time and money when you earn an undergraduate degree AND a graduate degree in an accelerated master’s program. You may be able to double-count 12 credits.

By double-counting all 12 credits, domestic students save up to $3,324 and international students save up to $1,248.

    • Minimum GPA at time of application: 3.0 GPA of at least 15 credits at CMU.
    • Requirements to maintain eligibility: average of 3.0 and no E's in double-counted courses.

    If your GPA is lower than a 3.0 or you have fewer than 15 credits at CMU, you can still be considered for admission if you demonstrate why you are prepared to be successful in graduate coursework.

    You must have a minimum of 60 undergraduate credit hours completed before starting coursework in the accelerated M.S. in Applied Statistics and Analytics program. To take full advantage of the program, make sure you apply for admission before taking any of the double-counted courses listed below.

    • Up to 12 credits of the following courses can be double-counted:
      • STA 575, STA 582, STA 585, STA 589, STA 590, STA 591, STA 675, ITC 510
    • You'll select your double-counted courses with an advisor. Then, you'll count them towards both your undergraduate degree and your graduate degree – either for your major or as electives.

    After earning your bachelor's degree, you'll take at least 18 credits to complete the M.S. in Applied Statistics and Analytics. If you don't complete the 12 double-counted credits before finishing your bachelor's degree, you'll need to take the remaining courses as graduate credits to complete the 30-33 credits required for the M.S. in Applied Statistics and Analytics.

    The M.S. in Applied Statistics requires 30-33 credits. You may double-count 12 credits before finishing your bachelor's degree, leaving 18-21 credits remaining to complete your master's degree. If you don't complete all 12 double-counted credits before you finish your bachelor's degree, you'll need to take more credits to reach the 30-33 required for the M.S. in Applied Statistics and Analytics.

    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 $112,590
    Financial Quantitative Analyst $101,910
    Data Analyst (General) $91,290
    Strategic Marketing Analyst $76,950
    Statistical Reporting Analyst $112,950
    Business Intelligence Analyst $101,190
    Financial and Investment Analyst $101,910
    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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