Saint Louis University Menu Search

Applied Analytics, M.S.

Saint Louis University’s online Master of Science in applied analytics, offered through the School for Professional Studies, is designed for working professionals for present or future roles that involve analytics. It combines the interaction of technology with human and organizational structures to support knowledge discovery, management and dissemination.

About the Program

If you have wondered why airline prices change every hour, how Netflix recommends the movie you want to see or how Facebook finds the stories that interest you most, then you have seen the power of analytics.

SLU’s master’s in applied analytics is a 36-hour program designed for working professionals who want to pursue a master's degree while maintaining part- or full-time employment. Courses are offered online in eight-week terms.

Each course involves recorded video lectures, accessible 24/7, as well as the completion of weekly assignments and term projects. You’ll also participate in weekly online interactive sessions and collaborative discussion forums moderated by the instructor. To ensure individual attention and mentoring by our distinguished faculty, your courses will never have more than 20 students. 

A unique aspect of the M.S. in applied analytics program is the ability to earn a graduate certificate that complements your master’s degree, often without taking additional credit hours. This allows you to tailor the program to your specific interests. 

As a student in our program, you will join a community of academics and practitioners from around the world, giving you the opportunity to learn from and network with your peers. Our students represent a wide range of academic and professional backgrounds.  

Program Highlights

As a student in SLU’s applied analytics program, you will learn statistical and analytical techniques for analyzing datasets of various sizes. You will design and implement analytics projects to solve complex organizational problems using evidence obtained systematically from multiple sources. Additionally, you will be able to communicate complex data effectively, and gain project management, leadership and organizational development skills.

The M.S. in applied analytics program also offers graduate certificate options that enable you to focus your studies and gain an additional academic credential upon graduation. If you are accepted into the M.S. in applied analytics program, then you may simultaneously enroll in any of the following 12-hour graduate certificates: 

Gainful Employment Disclosure

Curriculum and Program Details

SLU’s M.S. in applied analytics immerses students in a comprehensive and applied curriculum exploring the underlying data science, information technology and business of analytics. The curriculum is a carefully calibrated and continually updated mix of applied statistics, computing technologies and business disciplines. Required courses include:

Graduate core courses:
  • Contemporary Organizational Leadership
  • Ethical, Evidence-Based Decision Making
  • Research Methods Requirement
  • Stats/Analytics Requirement
Applied Analytics core courses:
  • Foundations of Analytics
  • Information Retrieval
  • Information Visualization and Presentation
  • Project Management
Electives — choose 3:
  • Advanced Analytics
  • Contemporary Issues in Analytics
  • Simulation and Modeling
  • Other electives (up to two) outside the Applied Analytics core
Master's research project:
  • Applied Analytics Master’s Project I
  • Applied Analytics Master’s Project II
  • Applied Analytics Master’s Project III
  • John P. Buerck, Ph.D.
  • Matthew Grawitch, Ph.D.
  • Keith Hacke, M.S.
  • Srikanth Mudigonda, Ph.D.
  • Shannon Parker, M.B.A
  • Ann Rohrer, Ph.D.
  • Tim Toennies, M.S.
  • Steve Winton, Ph.D.

SLU's M.S. in applied analytics provides you with skills in data mining, data visualization, predictive analytics, design and implementation of analytics projects, and data management. Graduates from this program are ready to discover the patterns within large quantities of data and provide insightful recommendations that inform organizational decision-making.

Recent trends in the job market data and experts’ predictions indicate that the job market for data analytics, business analytics and similarly named skill sets will grow in the future.

Tuition and Fees

$780/ Credit Hour

$25.00 Technology Fee

View a List of Tuition and Fees for 2017-18 


Scholarships and Financial Aid

Learn about scholarships and financial aid at Student Financial Services.

Learning Outcomes

1. Employ research methodologies appropriate for the field of analytics. 

2. Assess evidence to draw reasoned, ethical conclusions. 

3. Implement analytics systems that facilitate context-appropriate decision making. 

4. Utilize effective discipline-specific argumentation skills. 


Graduate Certificate in Applied Analytics


If you have already obtained a master's degree or higher, or if you meet the program prerequisites, SLU offers a stand-alone certificate in  Applied Analytics that can be completed entirely online.

Certificate core courses: 

  • AA 5000: Foundations of Analytics 
  • AA 5100: Information Retrieval 
  • AA 5200: Information Visualization and Presentation 
  • One of the following three: AA 5300: Advanced Analytics, AA 5750: Contemporary Issues in Analytics, AA 5800: Simulation and Modeling. 

Application Criteria

Students for this program must apply through SLU’s Office of Graduate Admission. Direct applications through the School for Professional Studies are not accepted.

Students must demonstrate: 

  • Undergraduate degree with a 3.0 or higher GPA. 
    Note: Applicants who have a GPA that is less than 3.0 will be considered on a case-by-case basis, by considering the strength of the remaining components of their application.
  • Employed on at least a part-time basis (20 hours or more per week) and have at least three years of aggregated work experience.
  • Coursework in the following areas:
      • At least one course in information systems/technology or a programming language.
      • At least one basic statistics or research methods course.
  • Skills in using business productivity software and understanding of basic level software installation and troubleshooting procedures.

You will also need the following items to apply:

Application Requirements
Application form and fee
Transcript(s) from all previous academic coursework from accredited institutions of higher education
Three recommendations submitted using the Applicant Evaluation Form.  The form can be submitted through an online system during your application process, by  email to, or mailed to:
Saint Louis University
Graduate Admission
DuBourg Hall, Suite 150
One North Grand Blvd.
St. Louis, MO 63103
A 500-word personal statement articulating why a master's degree in applied analytics is needed within your present or expected future career and how SLU's program will help you meet that need.

Requirements for International Students

According to the requirements set by U.S. Citizenship and Immigration Services, the entirely online nature of this degree precludes international students from obtaining an F1 (student) visa. If you are eligible to study within the United States, without requiring an F1 visa, contact the program director to determine specific English proficiency requirements that may apply.

Admission Deadline

Students should apply for the fall semester by July 1 and for the spring semester by Nov. 1.

To be considered for an assistantship, apply by Feb. 1.