Analytics, Post-Baccalaureate Certificate

At the point where technology and organizational structure meet, you'll find Saint Louis University School for Professional Studies graduate certificate in analytics. This certificate offers you the chance to study statistical and analytical techniques needed to dive into data sets and understand the inner workings of any organization. Through coursework in project management, leadership and organizational development, graduates will not only learn to understand data but also be able to communicate its meaning to others. 

As part of the School for Professional Studies, this 12-credit, fully online program offers technology-driven professionals like you a flexible option to meet your personal career goals. If you have obtained an undergraduate degree or higher, you may pursue a stand-alone certificate. All courses are offered in eight-week terms through SLU Online, making advanced education more accessible for working professionals. 

Faculty

As a student in the School for Professional Studies at Saint Louis University, you’ll learn from exceptional faculty who are leading experts in their fields. They bring real-world knowledge to the classroom and are dedicated to your professional success. Learn more on our faculty page.

You could be halfway to a master’s degree. 

Make yourself more marketable by diversifying your expertise and earning a master’s degree. All coursework completed successfully toward a post-baccalaureate certificate may count toward a School for Professional Studies master's degree.   

Master of Professional Studies

Master of Science in Analytics

Careers

Students who complete SLU's analytics certificate program are prepared to take on jobs related to the application of analytics and data science to address business needs. Examples of such roles include data translator, project manager, business analyst, analytics application developer and data analyst. 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.

Scholarships and Financial Aid

For priority consideration for graduate assistantship, apply by Feb. 1. 

For more information, visit the student financial services office online at https://www.slu.edu/financial-aid/index.php.

  1. Graduates will be able to utilize argumentation skills appropriate for a given problem or context.
  2. Graduates will be able to implement analytics systems that facilitate context-appropriate decision-making.

Admission Requirements

  • Completed application​
  • Undergraduate degree (most successful applicants have an undergraduate grade point average of 3.0 or better)
  • Official transcript from a degree-granting institution
  • Statement of purpose (about 500 words)
  • Resume or curriculum vitae
  • External reference recommendations (encouraged but not required)

Upon admission, a new student must successfully complete a virtual meeting with their academic coach to be enrolled in first term coursework.

Requirements for International Students

Along with the general admission requirements above, the following must be provided by prospective international students:

  • Demonstration of English Language ProficiencySome examples of demonstrated English language proficiency include minimum score requirements for the following standardized tests:
    • Paper-based TOEFL: 550
    • Internet-based TOEFL: 80
    • IELTS: 6.5
    • PTE: 54
  • Academic records, in English translation, for postsecondary studies outside the United States. These must include the courses taken and/or lectures attended, practical laboratory work, the maximum and minimum grades attainable, the grades earned or the results of all end-of-term examinations, and any honors or degrees received. WES and ECE transcripts are accepted. 

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Program Requirements 

AA 5000Foundations of Analytics3
AA 5100Information Retrieval3
AA 5200Visualization, Feedback and Dissemination3
One of the following:3
Advanced Analytics
Contemporary Issues in Analytics
Simulation and Modeling
Total Credits12

Continuation Standards

Students must maintain a cumulative grade point average (GPA) of 3.00 in all graduate/professional courses.

Roadmaps are recommended semester-by-semester plans of study for programs and assume full-time enrollment unless otherwise noted.  

Courses and milestones designated as critical (marked with !) must be completed in the semester listed to ensure a timely graduation. Transfer credit may change the roadmap.

This roadmap should not be used in the place of regular academic advising appointments. All students are encouraged to meet with their advisor/mentor each semester.  Requirements, course availability and sequencing are subject to change.

Plan of Study Grid
Year One
FallCredits
Fall 1  
AA 5000 Foundations of Analytics 3
Fall 2  
AA 5200 Visualization, Feedback and Dissemination 3
 Credits6
Spring
Spring 1  
AA 5300
Advanced Analytics
or Simulation and Modeling
3
Spring 2  
AA 5100 Information Retrieval 3
 Credits6
 Total Credits12